{"681971":{"#nid":"681971","#data":{"type":"news","title":"Over the Rainbow and Into 15K: Alumni Help Bring Oz to Life at the Las Vegas Sphere","body":[{"value":"\u003Cp\u003EFor anyone who has only seen the movie on television, \u003Cem\u003EThe Wizard of Oz\u003C\/em\u003E is an incredible movie theater experience. Its larger-than-life characters, vivid colors, and memorable soundtrack were made for the big screen.\u003C\/p\u003E\u003Cp\u003ENow, a Georgia Tech professor and several alumni are helping bring the 1939 classic Hollywood film to what will likely be its largest screen ever: the Las Vegas Sphere\u0027s 160,000-square-foot interior screen.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/lions-tigers-and-tech-oh-my-alumni-help-dorothy-debut-ultra-hd-sphere\u0022\u003ERead more to discover their pivotal role and how generative AI is used to \u0022reconceptualize\u0022 the film for the August 28 premiere of \u003Cem\u003EThe Wizard of Oz at Sphere\u003C\/em\u003E\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDebuting in August, \u0022The Wizard of Oz at Sphere\u0027 has a solid connection to Georgia Tech\u0027s AI community. A Georgia Tech professor and several alumni are helping bring the 1939 classic Hollywood film to what will likely be its largest screen ever: the Las Vegas Sphere\u0027s 160,000-square-foot interior screen.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Debuting in August, \u0022The Wizard of Oz at Sphere\u0027 has a solid connection to Georgia Tech\u0027s AI community."}],"uid":"32045","created_gmt":"2025-04-22 18:25:36","changed_gmt":"2025-04-25 14:39:01","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-04-22T00:00:00-04:00","iso_date":"2025-04-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676907":{"id":"676907","type":"image","title":"The Wizard of Oz at Sphere courtesy of Google \u0026 Sphere","body":null,"created":"1745346361","gmt_created":"2025-04-22 18:26:01","changed":"1745346361","gmt_changed":"2025-04-22 18:26:01","alt":"\u0027The Wizard of Oz at Sphere,\u0027 image courtesy of Google \u0026 Sphere","file":{"fid":"260756","name":"Cloud_WoZ_SS.width-1300.jpg","image_path":"\/sites\/default\/files\/2025\/04\/22\/Cloud_WoZ_SS.width-1300.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/22\/Cloud_WoZ_SS.width-1300.jpg","mime":"image\/jpeg","size":104371,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/22\/Cloud_WoZ_SS.width-1300.jpg?itok=V79uW9rl"}}},"media_ids":["676907"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"130","name":"Alumni"}],"keywords":[{"id":"506","name":"alumni"},{"id":"596","name":"Alumni Association"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"187915","name":"go-researchnews"},{"id":"192390","name":"generative AI"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"}],"news_room_topics":[{"id":"71901","name":"Society and Culture"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBen Snedeker\u003C\/p\u003E\u003Cp\u003ECommunications Manager\u003C\/p\u003E\u003Cp\u003EGeorgia Tech College of Computing\u003C\/p\u003E\u003Cp\u003Ealbert.snedeker@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"682001":{"#nid":"682001","#data":{"type":"news","title":"Professor\u0027s CNBC Course Highlights College\u2019s Leadership in Expanding AI Literacy","body":[{"value":"\u003Cp\u003EIf you\u2019re worried about artificial intelligence (AI) taking your job, Georgia Tech\u2019s \u003Cstrong\u003EMark\u003C\/strong\u003E \u003Cstrong\u003ERiedl\u003C\/strong\u003E says that probably won\u2019t happen. However, losing your job to someone who knows how to leverage AI tools in the workplace is something to be concerned about.\u003C\/p\u003E\u003Cp\u003ETo help people beyond campus understand what AI tools are available and how to use them effectively, Riedl recently co-taught an online course by CNBC Make It titled \u003Cem\u003EHow to Use AI to Be More Successful at Work\u003C\/em\u003E.\u003C\/p\u003E\u003Cp\u003E\u201cThe running joke right now is that AI will not replace people, but people who use AI will replace people who do not use AI,\u201d said Riedl, professor in the \u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022\u003E\u003Cstrong\u003ESchool of Interactive Computing\u003C\/strong\u003E\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe 90-minute course offers tips and hacks to users who are:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EInexperienced in using AI tools in the workplace and are looking to grow in professional development\u003C\/li\u003E\u003Cli\u003ESmall business owners who are overwhelmed with administrative tasks, marketing, industry research, and data analysis\u003C\/li\u003E\u003Cli\u003EJob seekers looking to stand out from the crowd\u003C\/li\u003E\u003Cli\u003EPeople seeking to improve their work-life balance\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003ERiedl, whose research focuses on human-centered and explainable AI, taught sections of the course on the foundation of AI. One of the biggest sections of the course covers large-language models (LLMs).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWhen large language models were put forward as chatbots, this was the first time that any person out in the world could naturally interact with an AI system without having to learn to program or write code,\u201d Riedl said.\u003C\/p\u003E\u003Cp\u003EFor less than $100, the on-demand course includes a detailed workbook that helps users consider each aspect of their jobs and daily lives and how AI can improve them.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe Big Picture\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECNBC\u2019s use of Riedl\u2019s expertise is one of many examples of how College of Computing faculty are leading the way in teaching AI literacy.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDavid\u003C\/strong\u003E \u003Cstrong\u003EJoyner\u003C\/strong\u003E, executive director of online education, said Georgia Tech\u2019s \u003Ca href=\u0022https:\/\/omscs.gatech.edu\/\u0022\u003E\u003Cstrong\u003EOnline Master of Science in Computer Science (OMSCS)\u003C\/strong\u003E\u003C\/a\u003E program continues to innovate with AI literacy in mind.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/experts-say-life-long-learning-must-keep-pace-generative-ai\u0022\u003E\u003Cstrong\u003E[RELATED: Experts Say Life-long Learning is a Must to Keep Pace with Generative AI]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EHe said companies and employees alike are learning to navigate AI. Companies are considering AI from a general perspective, focusing on how it can make their businesses more efficient, while employees are using it to become more versatile and valuable workers.\u003C\/p\u003E\u003Cp\u003E\u201cIt\u2019s an interesting dichotomy,\u201d Joyner said. \u201cIf companies are trying to figure out how to operate more efficiently, and you have people using these tools to be more productive, at what point does the company need to prioritize using these tools instead of letting their use be organic? We\u2019re still in this experimental phase.\u201d\u003C\/p\u003E\u003Cp\u003EIn a conversation with former College of Computing interim dean \u003Cstrong\u003EAlex\u003C\/strong\u003E \u003Cstrong\u003EOrso\u003C\/strong\u003E, Joyner discusses how OMSCS is staying at the forefront in equipping students with the latest technology skills they need to be successful in a fluctuating industry.\u003C\/p\u003E\u003Cp\u003E\u201cWe must figure out what generative AI can do well and properly leverage it so we\u2019re not cutting out the foundation of a building and replacing it with sticks,\u201d Joyner said.\u003C\/p\u003E\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/youtu.be\/pVG8d1JkQj4?feature=shared\u0022\u003E\u003Cstrong\u003Ecomplete conversation between Joyner and Orso is available on the College\u0027s Youtube\u003C\/strong\u003E\u003C\/a\u003E channel.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech Professor Mark Riedl is helping people learn new workplace skills to stay competitive.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech Professor Mark Riedl is helping people learn new skills to stay competitive in the workplace."}],"uid":"32045","created_gmt":"2025-04-24 13:12:53","changed_gmt":"2025-04-25 14:38:54","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2025-04-24T00:00:00-04:00","iso_date":"2025-04-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"676921":{"id":"676921","type":"image","title":"Interactive Computing Professor Mark Riedl co-organized the 2024 Summit on Responsible Computing, AI, and Society, where AI literacy was a key topic. Photo by Terence Rushon\/College of Computing","body":"\u003Cp\u003EInteractive Computing Professor Mark Riedl co-organized the 2024 Summit on Responsible Computing, AI, and Society, where AI literacy was a key topic. Photo by Terence Rushon\/College of Computing\u003C\/p\u003E","created":"1745500775","gmt_created":"2025-04-24 13:19:35","changed":"1745500775","gmt_changed":"2025-04-24 13:19:35","alt":"Interactive Computing Professor Mark Riedl co-organized the 2024 Summit on Responsible Computing, AI, and Society, where AI literacy was a key topic. Photo by Terence Rushon\/College of Computing","file":{"fid":"260771","name":"Summit-on-Responsible-Computing--AI--and-Society_86A9631-Enhanced-NR.jpg","image_path":"\/sites\/default\/files\/2025\/04\/24\/Summit-on-Responsible-Computing--AI--and-Society_86A9631-Enhanced-NR.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/04\/24\/Summit-on-Responsible-Computing--AI--and-Society_86A9631-Enhanced-NR.jpg","mime":"image\/jpeg","size":103162,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/04\/24\/Summit-on-Responsible-Computing--AI--and-Society_86A9631-Enhanced-NR.jpg?itok=fQ9uQRXK"}}},"media_ids":["676921"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"132","name":"Institute Leadership"}],"keywords":[{"id":"10199","name":"Daily Digest"},{"id":"2556","name":"artificial intelligence"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENathan Deen, Communications Officer\u003C\/p\u003E\u003Cp\u003EGeorgia Tech School of Interactive Computing\u003C\/p\u003E\u003Cp\u003Enathan.deen@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"677243":{"#nid":"677243","#data":{"type":"news","title":"SKYSCENES Leverages New Algorithms to Improve Safety for Autonomous Flying Vehicles","body":[{"value":"\u003Cp\u003EAn artificial intelligence (AI) training dataset developed at Georgia Tech is \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/skyscenes-dataset-could-lead-safe-reliable-autonomous-flying-vehicles\u0022\u003Esetting a new standard for the safety and reliability of autonomous drones and flying vehicles\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003ESKYSCENES compiles more than 33,000 annotated computer-generated aerial images. With applications in urban planning, disaster response, and autonomous navigation, the dataset trains computer vision models to better detect and identify objects in aerial images, which can be challenging for existing AI models.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/skyscenes-dataset-could-lead-safe-reliable-autonomous-flying-vehicles\u0022\u003ERead the full story\u003C\/a\u003E to learn how School of Interactive Computing Ph.D. student \u003Cstrong\u003ESahil\u003C\/strong\u003E \u003Cstrong\u003EKhose\u003C\/strong\u003E and Assistant Professor \u003Cstrong\u003EJudy\u003C\/strong\u003E \u003Cstrong\u003EHoffman\u003C\/strong\u003E developed this groundbreaking dataset to pave the way for the future of autonomous aviation.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech researchers have created a new benchmark dataset of computer-generated aerial images. Judy Hoffman, an assistant professor at Georgia Tech\u2019s School of Interactive Computing, worked with students to create SKYSCENES, a dataset containing over 33,000 computer-generated aerial images of cities.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"New research from Georgia Tech\u2019s School of Interactive Computing is paving the way for the future of autonomous aviation."}],"uid":"32045","created_gmt":"2024-10-02 15:05:04","changed_gmt":"2024-10-16 18:06:08","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-10-02T00:00:00-04:00","iso_date":"2024-10-02T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"675195":{"id":"675195","type":"image","title":"Georgia Tech School of Interactive Computing Ph.D. student Sahil Khose","body":"\u003Cp\u003EPh.D. student Sahil Khose worked with Assistant Professor Judy Hoffman to curate SKYSCENES, a new benchmark dataset that provides well-annotated aerial images of cities that computer vision algorithms can use to operate autonomous flying vehicles. Photos by Kevin Beasley\/College of Computing.\u003C\/p\u003E","created":"1727881514","gmt_created":"2024-10-02 15:05:14","changed":"1727881514","gmt_changed":"2024-10-02 15:05:14","alt":"Georgia Tech School of Interactive Computing Ph.D. student Sahil Khose","file":{"fid":"258796","name":"2X6A9656 (1).jpg","image_path":"\/sites\/default\/files\/2024\/10\/02\/2X6A9656%20%281%29.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/10\/02\/2X6A9656%20%281%29.jpg","mime":"image\/jpeg","size":41388,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/10\/02\/2X6A9656%20%281%29.jpg?itok=dxPOB_Ud"}}},"media_ids":["675195"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/skyscenes-dataset-could-lead-safe-reliable-autonomous-flying-vehicles","title":"SKYSCENES Dataset Could Lead to Safe, Reliable Autonomous Flying Vehicles"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"1188","name":"Research Horizons"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"187812","name":"artificial intelligence (AI)"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENathan Deen, Communications Officer\u003C\/p\u003E\u003Cp\u003EGeorgia Tech School of Interactive Computing\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:nathan.deen@cc.gatech.edu\u0022\u003Enathan.deen@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"668663":{"#nid":"668663","#data":{"type":"news","title":"Students Earn Prestigious Fellowships Underscoring Institute\u2019s Leadership in AI","body":[{"value":"\u003Cp\u003EArtificial intelligence (AI) research by two Georgia Institute of Technology students has caught the attention of one of the world\u0027s leading financial services companies.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGaurav Verma and Yuxi Wu are recipients of 2023\u0026nbsp;\u003Ca href=\u0022https:\/\/www.jpmorgan.com\/technology\/artificial-intelligence\/research-awards\u0022\u003EJ.P. Morgan AI Research Ph.D. Fellowship Awards\u003C\/a\u003E. They are among 13 scholars being honored this year by J.P. Morgan Chase \u0026amp; Co. for AI research projects taking on real-world challenges.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022Our goal is to recognize and enable the next generation of leading AI researchers. We want to create an environment where researchers can inspire change and make a lasting impact in our communities and across our industry,\u0022 said Manuela Veloso, Ph.D., head of AI Research, J.P. Morgan Chase \u0026amp; Co.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.jpmorgan.com\/technology\/artificial-intelligence\/research-awards\/phd-fellowship-2023\/gaurav-verma\u0022\u003EVerma\u003C\/a\u003E\u0026nbsp;is pursuing his Ph.D. in the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E. Working with his advisor, Assistant Professor Srijan Kumar, Verma expects to ensure safety, equity, and well-being by creating multimodal learning and natural language processing approaches to achieve better human-AI interactions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.jpmorgan.com\/technology\/artificial-intelligence\/research-awards\/phd-fellowship-2023\/yuxi-wu\u0022\u003EWu\u003C\/a\u003E\u0026nbsp;is a Ph.D. candidate in the\u0026nbsp;\u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E. Empowering people regarding their privacy concerns is at the core of her research. Wu examines how cross-sector, collective action systems could better support end-user privacy. Professor Keith Edwards and Adjunct Assistant Professor Sauvik Das advise Wu.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022It\u0027s inspiring to see our students and their work being honored with these prestigious fellowships,\u0022 said Irfan Essa, computer science professor and director of the\u0026nbsp;\u003Ca href=\u0022https:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022Georgia Tech continues to lead in AI education and research. These fellowships for Gaurav and Yuxi are evidence that we\u0027re continuing to move in the right direction.\u0022\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVerma and Wu are part of a spectrum of AI research spanning Georgia Tech. To unite this broad community and ensure it continues moving in the right direction, the Institute recently established\u0026nbsp;\u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2023\/06\/06\/ai-hub-georgia-tech-unite-campus-artificial-intelligence-rd-and-commercialization\u0022\u003EAI Hub at Georgia Tech\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022AI has a deep history at Georgia Tech, and we continue to serve as leaders in many areas of AI research and education,\u0022 said Essa, interim co-director of AI Hub at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0022Bringing all areas of AI under one umbrella, AI Hub at Georgia Tech will provide structure and governance as the Institute continues to lead and innovate in the burgeoning discipline of AI.\u0022\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETwo Georgia Tech Ph.D. students are being recognized for their innovative research with J.P. Morgan AI Research Fellowships.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Two Georgia Tech Ph.D. students are being recognized for their innovative research taking on real-world problems."}],"uid":"32045","created_gmt":"2023-08-01 18:59:19","changed_gmt":"2024-05-13 14:48:53","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-08-01T00:00:00-04:00","iso_date":"2023-08-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"671294":{"id":"671294","type":"image","title":"Georgia Tech Ph.D. students Gaurav Verma and Yuxi Wu ","body":null,"created":"1690916372","gmt_created":"2023-08-01 18:59:32","changed":"1690916372","gmt_changed":"2023-08-01 18:59:32","alt":"Georgia Tech Ph.D. students Gaurav Verma and Yuxi Wu ","file":{"fid":"254324","name":"Screen Shot 2023-08-01 at 10.29.55 AM.png","image_path":"\/sites\/default\/files\/2023\/08\/01\/Screen%20Shot%202023-08-01%20at%2010.29.55%20AM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/08\/01\/Screen%20Shot%202023-08-01%20at%2010.29.55%20AM.png","mime":"image\/png","size":534967,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/08\/01\/Screen%20Shot%202023-08-01%20at%2010.29.55%20AM.png?itok=8IXcQ01w"}}},"media_ids":["671294"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"132","name":"Institute Leadership"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"10199","name":"Daily Digest"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBen Snedeker, Communications Manager II\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:albert.snedeker@cc.gatech.edu\u0022\u003Ealbert.snedeker@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"667967":{"#nid":"667967","#data":{"type":"news","title":"Breakthrough Scaling Approach Cuts Cost, Improves Accuracy of Training DNN Models","body":[{"value":"\u003Cp\u003EA new machine-learning (ML) framework for clients with varied computing resources is the first of its kind to successfully scale deep neural network (DNN) models like those used to detect and recognize objects in still and video images.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ability to uniformly scale the width (number of neurons) and depth (number of neural layers) of a DNN model means that remote clients can equitably participate in distributed, real-time training regardless of their computing resources. Resulting benefits include improved accuracy, increased efficiency, and reduced computational costs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeveloped by Georgia Tech researchers, the ScaleFL framework advances federated learning, which is an ML approach inspired by the personal data scandals of the past decade.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFederated learning (FL), a term coined by Google in 2016, enables a DNN model to be trained across decentralized devices or servers. Because data aren\u2019t centralized with this approach, threats to data privacy and security are minimized.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe FL process begins with sending the initial parameters of a global DNN model to smartphones, IoT devices, edge servers, or other participating devices. These edge clients train their local version of the model using their unique data. All local results are aggregated and used to update the global model.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe process is repeated until the new model is fully trained and meets its design specifications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFederated learning works best when remote clients involved in training a new DNN model have comparable computational power and bandwidth. But training can bog down if some participating remote-client devices have limited or fluctuating computing resources.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cIn most real-life applications computational resources tend to differ significantly across clients. This heterogeneity prevents clients with insufficient resources from participating in certain FL tasks that require large models,\u201d said School of Computer Science (CS) Ph.D. student Fatih Ilhan.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cFederated learning should promote equitable AI practice by supporting a resource-adaptive learning framework that can scale to heterogeneous clients with limited capacity,\u201d said Ilhan, who is advised by Professor Ling Liu.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIlhan is the lead author of\u0026nbsp;\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2023\/papers\/Ilhan_ScaleFL_Resource-Adaptive_Federated_Learning_With_Heterogeneous_Clients_CVPR_2023_paper.pdf\u0022\u003E\u003Cem\u003EScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients\u003C\/em\u003E\u003C\/a\u003E, which he is presenting at the \u003Ca href=\u0022https:\/\/cvpr2023.thecvf.com\/\u0022\u003E2023 Conference on Computer Vision and Pattern Recognition\u003C\/a\u003E. CVPR 23 is set for June 18-22 in Vancouver, Canada.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECreating a framework that can adaptively scale the global DNN model based on a remote client\u2019s computing resources is no easy feat. Ilhan says the balance between a model\u2019s basic and complex feature extraction capabilities can be easily thrown out of whack when manipulating the number of neurons or the number of neuron layers of a DNN model.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cSince a deeper model is more capable of extracting higher order, complex features while a wider model has access to a finer resolution of lower-order, basic features, performing model size reduction across one dimension causes unbalance in terms of the learning capabilities of the resulting model,\u201d said Ilhan.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team overcomes these challenges in part by incorporating early exit classifiers into ScaleFL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese ML-based tools are designed to optimize accuracy and efficiency by introducing intermediate decision points in the classification process. This capability enables a model to complete an inference task as soon as it is confident in its prediction, without having to process the whole model.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cScaleFL injects these classifiers to the global model at certain layers based on the model architecture and computational constraints at each complexity level. This enables forming low-cost local models by keeping the layers up to the corresponding exit,\u201d said Ilhan.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cTwo-dimensional scaling with splitting the model along depth and width dimensions yields uniformly scaled, efficient local models for resource-constrained clients. As a result, not only does the global model achieves better performance compared to baseline FL approaches and existing algorithms, but local models at different complexity levels also perform significantly better for clients that are resource-constrained at inference time.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe exit classifiers that help balance a model\u2019s basic and complex features also play into the second part of ScaleFL\u2019s secret sauce, self-distillation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESelf-distillation is a form of knowledge distillation, which has been used to transfer knowledge from a \u2018teacher\u2019 model to a smaller \u2018student\u2019 model. ScaleFL applies this process within the same network by comparing early predictions made by the exit classifiers (students) and the final predictions of the last exit (teacher) of local models during optimization. This technique prevents isolation and improves the knowledge transfer among subnetworks of different levels in ScaleFL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIlhan and his collaborators extensively tested ScaleFL on three image classification datasets and two natural language processing datasets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cOur experiments show that ScaleFL outperforms existing representative heterogeneous federated learning approaches. In local model evaluations, we were able to reduce latency by two times, and the model size by four times, all while keeping the performance loss below 2%,\u201d said Ilhan.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESchool of Computer Science researchers have developed a new framework that advances federated learning, a distributed, real-time approach for training deep neural network models. The new framework enables remote clients to equitably participate in training regardless of their computing resources.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A new machine learning framework promotes equitable AI practice while advancing a popular distributed model training approach."}],"uid":"32045","created_gmt":"2023-06-02 02:05:38","changed_gmt":"2023-07-12 18:11:20","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-06-02T00:00:00-04:00","iso_date":"2023-06-02T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670912":{"id":"670912","type":"image","title":"Georgia Tech CS Ph.D. student Ilhan Fatih","body":null,"created":"1685672138","gmt_created":"2023-06-02 02:15:38","changed":"1685672138","gmt_changed":"2023-06-02 02:15:38","alt":"An outdoor photo portrait of Georgia Tech CS Ph.D. student Ilhan Fatih","file":{"fid":"253878","name":"Screen Shot 2023-06-01 at 2.48.19 PM.png","image_path":"\/sites\/default\/files\/2023\/06\/01\/Screen%20Shot%202023-06-01%20at%202.48.19%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/06\/01\/Screen%20Shot%202023-06-01%20at%202.48.19%20PM.png","mime":"image\/png","size":740954,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/06\/01\/Screen%20Shot%202023-06-01%20at%202.48.19%20PM.png?itok=hmXEAi5v"}}},"media_ids":["670912"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50875","name":"School of Computer Science"},{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBen Snedeker, Communications Manager II\u003Cbr \/\u003E\r\nGeorgia Tech\u003Cbr \/\u003E\r\nCollege of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ealbert.snedeker@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["albert.snedeker@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"667599":{"#nid":"667599","#data":{"type":"news","title":"Like Humans and Animals, AI Agents Find Their Way Through Memory","body":[{"value":"\u003Cp\u003EMemory may be just as important to artificial intelligence (AI) agents in creating \u2018mental maps\u2019 as it is to humans and animals.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA recent paper authored by Georgia Tech researchers makes a surprising discovery \u2014 blind AI agents use memory to create maps and navigate through their surrounding environment.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EErik Wijmans, the lead author of the paper, said the idea for his research began by asking if AI agents might mimic human and animal behavior in how they navigate and adjust to their environments.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cHumans and animals navigate with some type of spatial representation \u2014 what is commonly referred to as a cognitive map,\u201d Wijmans said. \u201cSo, we were wondering how AI agents navigate and if it\u2019s similar to that.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe first question we asked was, \u2018Is memory important to these agents?\u0027 It is. They tend to remember at least the past thousand interactions with their environment.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWijmans completed his Ph.D. in computer science in 2022 and is currently a research scientist at Apple.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWijmans created blind AI agents and trained them by dropping them into the floorplans of more than 500 houses with the goal of navigating from one area of the house to another area. The only sense it had to work with was egomotion \u2014 the ability to know how far it has moved.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe agent bumped its way around from room to room, backtracking as needed, before finding its destination. Wijmans then created a second probe agent that was injected with the memories of the first agent. The probe agent used the memory of the original agent to take shortcuts to quickly reach its objective.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cIt\u2019s surprising that they can do this without vision because they\u2019re in an unknown environment that they\u2019ve never seen before, so they have to figure out how to navigate in that environment and also figure out the structure of it,\u201d Wijmans said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThis is a result that shows that our hypothesis is true, or at the very least along the right direction. We took an agent and put it in a complex environment and trained it for a task that requires it to interact with that environment, and the result was mapping.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWijman\u2019s paper,\u0026nbsp;\u003Cem\u003EEmergence of Maps in the Memories of Blind Navigation Agents\u003C\/em\u003E, is one of four outstanding paper award winners for the 2023 International Conference on Learning Representations, which is being held May 1-5 in Kigali, Rwanda. His research was also recognized by the Georgia Tech chapter of Sigma Xi (The Scientific Research Society) and received a 2023 GT Sigma XI Best Ph.D. Thesis Award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWijmans is advised by School of Interactive Computing Distinguished Professor Irfan Essa and Associate Professor Dhruv Batra.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cErik makes fundamental contributions to multiple sub-areas of AI, including reinforcement learning, robotics, and embodied perception,\u201d Batra said. \u201cHis hypothesis is a bold one \u2014 that intelligence emerges via large-scale learning by an embodied agent accomplishing goals in a rich 3D environment.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn his paper, Wijmans describes mapping as an emerging phenomenon. Neural network models for navigation have performed well despite not containing any explicit mapping modules.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWijman\u2019s AI agents showed a 95% success rate when they used memory to navigate, whereas memoryless agents failed entirely. This seems to suggest that agents create mental maps as a natural part of learning to navigate.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe results were so initially surprising, that my first gut instinct was that we had done something wrong in our experimental design,\u201d he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThis is a work with a very complex body of experiments that tie together a single narrative,\u201d he said. \u201cThis is a challenging thing to do. When you\u2019re trying to test whether something involves memory, you must come up with ideas of what to test for and how to test for that. You must make each experiment as precise as possible to not get false positives, and that involves considerable experimental design and effort.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWijmans said he made it as difficult as possible for the agent to reach its goal, removing vision, audio, olfactory, haptic, and magnetic sensing and gave it no bias toward mapping. It had no supervision or any kind of outside help.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cSurprisingly, even under these deliberately harsh conditions, we find the emergence of map-like spatial representations in the agent\u2019s non-spatial unstructured memory. It not only successfully navigates to the goal but also exhibits intelligent behavior like taking shortcuts, following walls, and detecting collisions.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe discovery also suggests that AI, humans, and animals all share a natural characteristic of problem solving and navigation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe one link that we can make is the idea of convergent evolution, which is where you see the same mechanism evolve multiple times in species that have no common ancestor that shares that mechanism,\u201d Wijmans said. \u201cMammals build maps, insects build maps, and now AI agents build maps. So perhaps mapping is the natural solution to navigation.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA recent paper authored by Georgia Tech researchers makes a surprising discovery \u2014 blind AI agents use memory to create maps and navigate through their surrounding environment.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A recent paper authored by Georgia Tech researchers makes a surprising discovery \u2014 blind AI agents use memory to create maps and navigate through their surrounding environment."}],"uid":"32045","created_gmt":"2023-05-02 13:23:26","changed_gmt":"2023-05-02 13:28:07","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-05-02T00:00:00-04:00","iso_date":"2023-05-02T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670706":{"id":"670706","type":"image","title":"Erik Wijmans, Irfan Essa","body":null,"created":"1683033816","gmt_created":"2023-05-02 13:23:36","changed":"1683033816","gmt_changed":"2023-05-02 13:23:36","alt":"Georgia Tech Ph.D. student Erik Wijmans and Distinguished Professor Irfan Essa","file":{"fid":"253618","name":"Erik Wijmans, Irfan Essa_86A9563.jpeg","image_path":"\/sites\/default\/files\/2023\/05\/02\/Erik%20Wijmans%2C%20Irfan%20Essa_86A9563.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/05\/02\/Erik%20Wijmans%2C%20Irfan%20Essa_86A9563.jpeg","mime":"image\/jpeg","size":38004,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/05\/02\/Erik%20Wijmans%2C%20Irfan%20Essa_86A9563.jpeg?itok=GUWuL3qy"}}},"media_ids":["670706"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"8862","name":"Student Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"152","name":"Robotics"},{"id":"135","name":"Research"}],"keywords":[{"id":"187812","name":"artificial intelligence (AI)"}],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENathan Deen\u003Cbr \/\u003E\r\nCommunications Officer I\u003Cbr \/\u003E\r\nSchool of Interactive Computing\u003Cbr \/\u003E\r\nnathan.deen@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["nathan.deen@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"667347":{"#nid":"667347","#data":{"type":"news","title":"Examining the Boundaries of Using AI \u0027Sensing\u0027 to Understand Office Workers\u2019 Performance and Wellbeing","body":[{"value":"\u003Cp\u003E\u003Cem\u003ENew research findings show that social acceptability and select sharing of AI results in the workplace are key to future implementation\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommercial monitoring tools are being introduced in offices alongside newer modes of work \u2013 screen meetings, remote collaboration, digital-first workflows \u2013 as a way for employers to better understand performance of their workforces.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers at Georgia Tech and Northeastern University conducted a study with information workers to learn about their perspectives on being monitored and their information being collected with passive-sensing enabled artificial intelligence (PSAI), where computing devices can unobtrusively detect and collect user behaviors. That information could then be used to train machine learning models that infer performance and wellbeing of workers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe wanted to take a closer look at how workers perceive passive-sensing AI in order to make this technology work for the workers, as opposed to making them work for the technology,\u201d said\u0026nbsp;\u003Cstrong\u003EVedant Das Swain\u003C\/strong\u003E, lead researcher and a Ph.D. candidate in computer science at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe says there is an organizational need \u2013 for both employer and employee alike \u2013 to get better insights.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cOne of the underlying subtexts of the research is that there are these asymmetries at work because the employee doesn\u2019t have as much power as the employer. And if these technologies keep progressing as they are, this gap is going to widen because the employer will just keep getting more and more worker information.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers found that some technologies \u2013 fitness trackers and web cams, for example \u2013 used for personal activities may not translate well to work life if they are implemented without considering new norms of work. Technologies can now \u201cbreach physical boundaries,\u201d as Das Swain puts it, and using a web cam for work while at home might involve extra setup to close doors and blur backgrounds on the screen. Workers also want careful consideration of the context in which devices can gain information.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWork devices monitoring worker activity is appropriate in many cases but work-related apps on personal devices might be a tougher sell.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research results fall in two primary categories:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EAppropriateness\u003C\/strong\u003E\u0026nbsp;\u2013 Understanding socially acceptable data to collect with passive-sensing AI and acceptable circumstances to infer worker performance and wellbeing.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EDistribution\u003C\/strong\u003E\u0026nbsp;\u2013 Determining\u0026nbsp;what to share about worker data \u2013 and when\u0026nbsp;\u2013\u0026nbsp;with other stakeholders and the methods used.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ERegarding the appropriateness aspect, Das Swain says that people in general don\u2019t want to feel dehumanized by algorithms. His team\u2019s work takes that idea further by learning about the mental models different workers use to determine what\u2019s appropriate for using PSAI.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cDifferent workers have different ideas of what\u2019s insightful,\u201d he said. \u201cFor example, if I don\u2019t talk to my supervisor about my personal life, why should this machine be sensing that type of information? The alternative viewpoint is that I already know what I\u2019m doing at work, so give me more data. I could use sleep and commute data to infer how those activities might affect my work.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDas Swain says there is no one-size-fits-all solution.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cAnd it\u2019s not just about privacy, it\u2019s about utility,\u201d he said. \u201cPeople find utility in different things. Some want more precise information in a work context, and some might want the holistic view of the data, in both cases to find insights for themselves.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe second category of results \u2013 distribution \u2013 is no less tricky. Worker information is ostensibly personal in nature, but collaborative and performance measures at work necessitate the sharing of this information.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe researchers found that participants strongly felt that if a machine predicted something related to performance or wellbeing, then they should have enough time to make changes and provide context, such as if a worker is on paternity leave and must alter project deadlines.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cOnly at a later point, if at all, can the data be escalated to someone else to help as the situation requires,\u201d said Das Swain. \u201cThat was very clear in the study.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne red flag so to speak, for Das Swain as a researcher, is that these technologies don\u2019t afford users any control to understand newer types of personal data that are being collected and stored at work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith algorithmic uncertainty now at the forefront of many conversations, Das Swain views these results from the Georgia Tech and Northeastern group as tangible guideposts for regulators and companies making decisions around public and commercial deployment of AI sensing tech for information workers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe published results will be presented at the ACM CHI Conference on Human Factors in Computing Systems, taking place April 23-28, in Hamburg, Germany. The academic paper,\u0026nbsp;\u003Ca href=\u0022https:\/\/programs.sigchi.org\/chi\/2023\/program\/content\/95708\u0022\u003E\u003Cem\u003EAlgorithmic Power or Punishment: Information Worker Perspectives on Passive Sensing Enabled AI Phenotyping of Performance and Wellbeing\u003C\/em\u003E\u003C\/a\u003E, is co-authored by Das Swain,\u0026nbsp;\u003Cstrong\u003ELan Gao\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EWilliam Wood\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003ESrikruthi C. Matli\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EGregory Abowd\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E. The work is funded in part by Cisco.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EResearchers at Georgia Tech and Northeastern University conducted a study with information workers to learn about their perspectives on being monitored and their information being collected with passive-sensing enabled artificial intelligence (PSAI), where computing devices can unobtrusively detect and collect user behaviors.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"New research findings show that social acceptability and select sharing of AI results in the workplace are key to future implementation."}],"uid":"32045","created_gmt":"2023-04-14 14:23:22","changed_gmt":"2023-04-14 14:26:21","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-04-14T00:00:00-04:00","iso_date":"2023-04-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670546":{"id":"670546","type":"image","title":"pic_web_cc_vedant das swain2.png","body":"\u003Cp\u003ESchool of Interactive Computing Ph.D. candidate Vedant Das Swain, lead researcher of a study dubbed \u0022Algorithmic Power or Punishment\u0022 that identifies current boundaries of using AI \u0022sensing\u0022 tools in office spaces.\u0026nbsp;\u003Cem\u003E(Photos by Kevin Beasley\/College of Computing)\u003C\/em\u003E\u003C\/p\u003E\r\n","created":"1681482219","gmt_created":"2023-04-14 14:23:39","changed":"1681482219","gmt_changed":"2023-04-14 14:23:39","alt":"Vedant Das Swain, Ph.D. candidate in computer science at Georgia Tech.","file":{"fid":"253427","name":"pic_web_cc_vedant das swain2.png","image_path":"\/sites\/default\/files\/2023\/04\/14\/pic_web_cc_vedant%20das%20swain2.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/14\/pic_web_cc_vedant%20das%20swain2.png","mime":"image\/png","size":472783,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/14\/pic_web_cc_vedant%20das%20swain2.png?itok=sMp3aoNo"}}},"media_ids":["670546"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosh Preston\u003Cbr \/\u003E\r\nResearch Communications Manager\u003Cbr \/\u003E\r\n\u003Ca href=\u0022jpreston@cc.gatech.edu\u0022\u003Ejpreston@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"667346":{"#nid":"667346","#data":{"type":"news","title":"Misinformation Detection Models are Vulnerable to ChatGPT and Other LLMs","body":[{"value":"\u003Cp\u003EExisting machine learning (ML) models used to detect online misinformation are less effective when matched against content created by ChatGPT or other large language models (LLMs), according to new research from Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrent ML models designed for and trained on human-written content have significant performance discrepancies in detecting paired human-generated misinformation and misinformation generated by artificial intelligence (AI) systems, said Jiawei Zhou, a Ph.D. student in Georgia Tech\u2019s School of Interactive Computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhou\u2019s paper detailing the findings is set to receive a best paper honorable mention award at the 2023\u0026nbsp;ACM CHI Conference on Human Factors in Computing Systems. Advised by Associate Professor Munmun De Choudhury, Zhou\u2019s research demonstrates that LLMs can manipulate tone and linguistics to allow AI-generated misinformation to slip through the cracks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe found the AI-generated misinformation carried more emotions and cognitive processing expressions than its human-created counterparts,\u201d Zhou said. \u201cIt also tended to enhance details, communicate uncertainties, draw conclusions, and simulate personal tones.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cWe\u2019re one of the very first to look at this risk. As more people started to use ChatGPT, they\u2019ve noticed this problem, but we were one of the first to provide evidence of this risk. And there are more efforts needed to raise public awareness about this potential and call for more research efforts to combat this risk.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhou started exploring GPT-3 in 2022 because she wanted to know how one of the early predecessors to ChatGPT would handle prompts that included misinformation about the Covid-19 pandemic. She asked GPT-3 to explain how the Covid-19 vaccines could cause cancer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe results were very concerning because it is so persuasive,\u201d Zhou said. \u201cI had been studying informatics and misinformation for a time, and it was still persuasive, even to me. The output would say, \u2018It can cause cancer because there is this researcher at this institute, and their research is based on medical records and diverse demographics. The research supports this possibility.\u2019 The writing of it is so scientific.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhou and her collaborators accumulated a dataset of human-created misinformation, including more than 6,700 news reports and 5,600 social media posts. From that set, Zhou and her team extracted the most representative topics and documents of human-generated misinformation. They used those to create narrative prompts, which they fed to GPT and recorded the output.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBoth the GPT-generated output and the original human-created dataset were used to test an existing misinformation detection model called COVID-Twitter-BERT (CT-BERT).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhou said while the human- and AI-generated datasets were intentionally paired, a statistical test showed there are significant differences in detection model performance.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECT-BERT experienced a decline in performance in detecting AI-generated misinformation. Out of 500 prompts based on AI-generated misinformation, it failed to recognize 27 as false or misleading, compared to missing only two from the human-generated prompts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThe core reason is they are linguistically different,\u201d Zhou said. \u201cOur error analysis reveals that AI misinformation tends to be more complex, and it tends to mix factual statements. It uses one fact to explain another, though the two things might not be related. The tone and sentiment are also different. And there are less keywords that detection tools normally look for.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhou\u2019s experiments showed that GPT could use information to create a news story using objective, straightforward language and use that same information to create a sympathetic social media post. That points to its capability of changing tone and tailoring messages.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cIf someone wants to promote propaganda, they can use it to customize a narrative toward a specific community,\u201d Zhou said. \u201cThat makes the risk even greater. It shows that it has some flexibility to alter its tone for different purposes. For news, it can sound logical and reliable. For social media, it conveys information quickly and clearly.\u201d\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs LLMs continue to rapidly grow and expand, so do the risks of misinformation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChatGPT operates on Open AI\u2019s GPT-3.5 and GPT-4 models, the latter of which was released on March 14. Since ChatGPT was released, Zhou has given it the same prompts she gave to GPT-3. The results have improved with some corrections, but the latter has the advantage of having more available information about Covid-19, she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhou said steps should be taken immediately to evaluate how misinformation detection tools can adapt to ever-improving LLMs. She described the situation as an \u201cAI arms race,\u201d and the tools that are currently used to combat misinformation are well behind.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u201cThey are improving the generative capabilities of LLMs,\u201d she said. \u201cThey\u2019re more human-like, more fluent, and less and less distinguishable from human creations. We need to think about ways we can distinguish them and how we can improve our misinformation detection abilities to catch up.\u201d\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENew research indicates that current machine learning models trained on human-produced content can struggle to detect falsehoods generated by AI-powered chatbots.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Because falsehoods generated by ChatGPT are so convincing, even trained researchers struggle to identify misinformation."}],"uid":"32045","created_gmt":"2023-04-14 14:15:06","changed_gmt":"2023-04-14 14:20:36","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-04-14T00:00:00-04:00","iso_date":"2023-04-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670544":{"id":"670544","type":"image","title":"Jiawei Zhou, a Ph.D. student in Georgia Tech\u2019s School of Interactive Computing.jpeg","body":null,"created":"1681481714","gmt_created":"2023-04-14 14:15:14","changed":"1681481714","gmt_changed":"2023-04-14 14:15:14","alt":"Jiawei Zhou, a Ph.D. student in Georgia Tech\u2019s School of Interactive Computing.","file":{"fid":"253425","name":"Jiawei Zhou, a Ph.D. student in Georgia Tech\u2019s School of Interactive Computing.jpeg","image_path":"\/sites\/default\/files\/2023\/04\/14\/Jiawei%20Zhou%2C%20a%20Ph.D.%20student%20in%20Georgia%20Tech%E2%80%99s%20School%20of%20Interactive%20Computing.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/14\/Jiawei%20Zhou%2C%20a%20Ph.D.%20student%20in%20Georgia%20Tech%E2%80%99s%20School%20of%20Interactive%20Computing.jpeg","mime":"image\/jpeg","size":47321,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/14\/Jiawei%20Zhou%2C%20a%20Ph.D.%20student%20in%20Georgia%20Tech%E2%80%99s%20School%20of%20Interactive%20Computing.jpeg?itok=Gde0-sOs"}},"670545":{"id":"670545","type":"image","title":"Jiawei Zhou-munmun.jpeg","body":"\u003Cp\u003ESchool of Interactive Computing Ph.D. student Jiawei Zhou, left, and associate professor Munmun De Choudhury, demonstrate in their latest paper that misinformation detection models are vulnerable to content generated by large language models. (Photos by Kevin Beasley\/College of Computing)\u003C\/p\u003E\r\n","created":"1681481807","gmt_created":"2023-04-14 14:16:47","changed":"1681481807","gmt_changed":"2023-04-14 14:16:47","alt":"School of Interactive Computing Ph.D. student Jiawei Zhou, left, and associate professor Munmun De Choudhury, demonstrate in their latest paper that misinformation detection models are vulnerable to content generated by large language models.","file":{"fid":"253426","name":"Jiawei Zhou-munmun.jpeg","image_path":"\/sites\/default\/files\/2023\/04\/14\/Jiawei%20Zhou-munmun.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/14\/Jiawei%20Zhou-munmun.jpeg","mime":"image\/jpeg","size":259753,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/14\/Jiawei%20Zhou-munmun.jpeg?itok=rj7xma5O"}}},"media_ids":["670544","670545"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"192524","name":"ChatGPT"},{"id":"190591","name":"misinformation"},{"id":"89321","name":"Munmun De Choudhury"},{"id":"1027","name":"chi"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENathan Deen\u003Cbr \/\u003E\r\nSchool of Interactive Computing\u003Cbr \/\u003E\r\nCommunications Officer\u003Cbr \/\u003E\r\n\u003Ca href=\u0022nathan.deen@cc.gatech.edu\u0022\u003Enathan.deen@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"666796":{"#nid":"666796","#data":{"type":"news","title":"New Research Explores Using Generative AI Technology for Materials Discovery","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EWith the explosive rise of popular artificial intelligence applications like ChatGPT and DALL-E, consumers are becoming more and more familiar with the world of generative models. While these fun, novel tools are helpful in our everyday lives, Georgia Tech researchers are using the same technology to make new scientific discoveries and solve complex engineering challenges.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EOne example of this is\u0026nbsp;\u003Cstrong\u003EVictor Fung\u003C\/strong\u003E, an assistant professor with Georgia Tech\u2019s School of Computational Science and Engineering (CSE). Fung recently led a research team that\u0026nbsp;\u003Ca href=\u0022https:\/\/iopscience.iop.org\/article\/10.1088\/2632-2153\/aca1f7\u0022\u003Edeveloped a new, first-of-its-kind algorithm\u003C\/a\u003E\u0026nbsp;that can reconstruct atomic structure in generative models.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EA significant application Fung focuses this research toward is in the field of materials science and engineering. The algorithm could be key in developing further AI tools and new materials to the benefit of individual researchers and entire communities alike.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cStructural representations are a well-known concept people have used in other machine learning applications for chemistry and materials, like training models to predict energies and forces,\u201d Fung said. \u201cBut this is really the first time that anyone has used this in generative models.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EStructure is a key property in a material design. For example, structure plays a role in determining superconductivity within electronics, biological viability in drugs, and catalyzation of certain chemical reactions.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFung explained that using generative models to study atomic structure, and to design new materials, could be vital in climate remediation. This may include developing greener catalysts for use in fuel cells, designing better material for carbon capture, and discovering new light-absorbent molecules for application in solar panels.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EThe algorithm can help engineers create new materials with targeted properties by building models atom-by-atom, a concept called inverse design. The algorithm is a progressive step forward in allowing computer models to create new materials tailor-made with specific functions and characteristics in mind by designers.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESpecifically, the algorithm allows materials scientists to know the exact structure of materials that exhibit a desired property, potentially making proposed material designs a reality.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cIf we know the structure of material, we can be sure of what properties it has, and we will have a clear goal to try to synthesize it and develop applications,\u201d Fung said. \u201cWe basically have the key to defining the material in the chemical space.\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EFung\u2019s paper is the first in a forthcoming series of studies to develop new generative models for atomic structure. He and his co-researchers think the series could result in new algorithms and models that yield commercial benefits, as well as solve large, scientific problems.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAs part of this campaign to share his research,\u0026nbsp;\u003C\/span\u003EFung is set to discuss the findings March 31 at\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/materials\/imatsymposium\u0022\u003E2023 Symposium on Materials Innovations\u003C\/a\u003E, hosted by Georgia Tech\u2019s Institute for Materials (IMat).\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESchool of CSE Ph.D. student\u0026nbsp;\u003Cstrong\u003EShuyi Jia\u003C\/strong\u003E\u0026nbsp;worked with Fung to develop the algorithm and is a co-author on the paper. The pair partnered with Oak Ridge National Laboratory scientists\u0026nbsp;\u003Cstrong\u003EJiaxin Zhang\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EJunqi Yin\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003EPanchapakesan Ganesh\u003C\/strong\u003E\u0026nbsp;through the study.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAlong with AI tools like ChatGPT and DALL-E, generative models are popularly used today in images, text, audio, and other types of information. They are not as common in overcoming scientific challenges due to their data-intensive nature, an obstacle that Fung\u2019s algorithm helps overcome.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn technical terms, the algorithm makes it possible for generative models to work with non-invertible structural representations, such as atom-centered symmetry functions.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ENow that the group has learned how to use models to generate structure, they want to extend this to broader problems in materials design and discovery. This includes being able to generate structures with different chemical compositions as well.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EHere, their algorithm becomes a tested, verified method using generative models to understand and overcome complex engineering problems.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u201cPeople who are interested in solving these kinds of problems in materials discovery, whether for specific applications, specific types of materials, or specific properties, can potentially use this approach, or at least take inspiration from it,\u201d Fung said.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering Assistant Professor is presenting details about a first-of-its-kind algorithm for generative AI models at the\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/materials\/imatsymposium\u0022\u003E2023 Symposium on Materials Innovations\u003C\/a\u003E, being hosted by Georgia Tech\u2019s Institute for Materials on March 31.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Applications of a novel algorithm developed by School of CSE researchers may lead to the design of new climate-remediation materials."}],"uid":"32045","created_gmt":"2023-03-24 13:32:29","changed_gmt":"2023-04-06 15:03:28","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-03-24T00:00:00-04:00","iso_date":"2023-03-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"670465":{"id":"670465","type":"image","title":"Victor Fung CRNCH.jpeg","body":"\u003Cp\u003E\u003Cstrong\u003EVictor Fung\u003C\/strong\u003E, an assistant professor with Georgia Tech\u2019s School of Computational Science and Engineering, speaks during a panel discussion during a workshop on campus.\u003C\/p\u003E\r\n","created":"1680793152","gmt_created":"2023-04-06 14:59:12","changed":"1680793152","gmt_changed":"2023-04-06 14:59:12","alt":"Victor Fung, an assistant professor with Georgia Tech\u2019s School of Computational Science and Engineering","file":{"fid":"253324","name":"Victor Fung CRNCH.jpeg","image_path":"\/sites\/default\/files\/2023\/04\/06\/Victor%20Fung%20CRNCH.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/04\/06\/Victor%20Fung%20CRNCH.jpeg","mime":"image\/jpeg","size":35631,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/04\/06\/Victor%20Fung%20CRNCH.jpeg?itok=kPD32dZI"}}},"media_ids":["670465"],"related_files":{"253116":{"fid":null,"name":"School of CSE\u0027s Victor Fung","file_path":"\/sites\/default\/files\/2023\/03\/24\/Victor%20Fung%20CRNCH.jpeg","file_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/03\/24\/Victor%20Fung%20CRNCH.jpeg","mime":"image\/jpeg","size":35631,"description":null}},"groups":[{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"154","name":"Environment"}],"keywords":[{"id":"192390","name":"generative AI"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"84281","name":"advanced materials"}],"core_research_areas":[{"id":"39471","name":"Materials"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer I\u003Cbr \/\u003E\r\n\u003Ca href=\u0022bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"664618":{"#nid":"664618","#data":{"type":"news","title":"Manufacturing, Finance Among Industries to Benefit from What\u0027s Next in AI for 2023","body":[{"value":"\u003Cp\u003EArtificial intelligence is already making headlines in the new year with the box office success of the movie\u0026nbsp;\u003Cem\u003EM3GAN\u003C\/em\u003E. Along with a TikTok dance craze and lots of laughs, the over-the-top horror movie\/dark comedy about an AI-powered robot that runs amok is also inspiring discussion about the growing presence and impact of artificial intelligence in everyday life.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom the movie\u0026nbsp;house to the warehouse\u0026nbsp;to your house, AI seems like it\u0026#39;s everywhere. That\u0026#39;s because with a steady stream of new research and innovative applications reaching into nearly every industry and business sector, it\u0026nbsp;is everywhere.\u0026nbsp;Nevertheless, AI still holds enormous potential as the field continues to evolve.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo get a sense of what this evolution could look like in 2023, we turned to a small group of \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/phd\u0022\u003EPh.D. students from the College of Computing\u003C\/a\u003E community that are currently pushing foundational and applied AI research forward in a broad spectrum of disciplines and fields.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe students shared their opinions on where AI might be headed in the new year, what some of the big tech stories could be, and why ethics in AI are so critically important.\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EWhere will artificial intelligence and machine learning have the most impact in 2023?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Artificial intelligence and machine learning\u0026nbsp;will continue to have a huge impact on manufacturing and warehouses with labor shortages and worker turnover continuing to be a concern as more manufacturing and operations jobs are brought back to the United States from overseas. Additionally, AI\/ML will continue to help ensure that manufacturing and warehouse facilities are operating as efficiently as possible from energy and material savings to worker safety and parts quality.\u0026quot; \u0026ndash;\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/www.researchgate.net\/profile\/Zoe-Klesmith\u0022\u003EZoe Klesmith Alexander\u003C\/a\u003E, computational science and engineering Ph.D. student\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Right now, deep learning is on a trajectory to transform\u0026nbsp;the creation space. Artwork and images, videos, data representation and storytelling, co-authoring, and summarizing documents... It\u0026#39;s gotten really good.\u0026quot; \u0026ndash;\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/benhoov\/\u0022\u003EBen Hoover\u003C\/a\u003E, machine learning Ph.D. student\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;I think machine learning and AI will keep playing a huge role\u0026nbsp;in how the world and society will be shaped over the next decade in many ways. It will make many other fields more efficient through ML and AI tools we are developing. In 2023, I think ML and AI will have the most impact on social media platforms, helping reduce hate speech, rumor spread, etc.\u0026quot; \u0026ndash;\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/agam-shah\/\u0022\u003EAgam A. Shah\u003C\/a\u003E, machine learning Ph.D. student\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;One of the big impacts this year\u0026nbsp;may be driverless cars\u0026nbsp;being in your neighborhood. Otherwise, it will be a slow steady drip of GPT3 and other OpenAI models suffusing all applications, making programmers much faster, making journalists faster, making academic articles and lit reviews much faster. We\u0026#39;re at a 4th grader level, and I hope by the end of this year we\u0026#39;ll be at the 6th grader level. Also, indoor turn-by-turn navigation will be everywhere in 2023 as well.\u0026quot; \u0026ndash;\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/brandonkeithbiggs\/\u0022\u003EBrandon Biggs\u003C\/a\u003E, human-centered computing Ph.D. student\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EWhat will be some of the big tech stories in 2023?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;ChatGPT and the GitHub Copilot lawsuit\u0026nbsp;will keep making it into the news and cause more controversies. In general, AI ethics will become more important and get more focus as the technology keeps advancing.\u0026quot; \u0026ndash; \u003Ca href=\u0022https:\/\/fab1ano.github.io\/\u0022\u003EFabian Fleischer\u003C\/a\u003E, cybersecurity, and privacy Ph.D. student\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Driverless car fleets will be coming\u0026nbsp;to a city near you.\u0026nbsp;A new battery technology will allow phones to keep their charge for a week. Meta realizes virtual reality (VR) head-mounted displays are for a limited market and uses headphones and phones to provide VR experiences.\u0026quot; \u0026ndash; Brandon Biggs\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EWhat\u0026rsquo;s an issue or industry that you think could benefit from a computing solution?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Our reinterpretation of modern deep learning\u0026nbsp;as energy-based associative memories\u0026nbsp;has the potential to transform any industry that relies on foundation models -- giant architectures that require models that are \u0026quot;self-supervised\u0026quot; (learn on their own from data).\u0026quot; \u0026ndash; Ben Hoover\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Inclusion in everything.\u0026nbsp;Over 90 percent of websites on the internet have elements that are inaccessible to 25 percent of the world\u0026#39;s population who have disabilities. Inclusive design will be the most important area where technology can be redesigned and created to have multiple sensory modalities and be properly programmed.\u0026quot; \u0026ndash; Brandon Biggs\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Currently, financial markets are far from efficient\u0026nbsp;because they do not fully incorporate information available in large unstructured text data. With the latest development in natural language processing techniques, we can better understand the economy and therefore price financial markets better.\u0026quot; \u0026ndash; Agam A. Shah\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EThere\u0026rsquo;s been increasing recognition of the vital role ethics should play in artificial intelligence. How do you see this issue evolving in the next year?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Specifically in my research, I think explainable AI (XAI) is very important, especially if non-experts in ML will be using black-box ML solutions in a factory. It will be important for humans to trust and to understand the models especially if the models are being using to monitor quality on a safety-critical part.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Additionally, using XAI for human interaction with robots that utilize deep learning to make decisions will be increasingly important as technologies like collaborative robots (cobots) are integrated into factories. I think in my area of research that it is always important to use automation to aid humans in jobs that are safe for humans to do and not to replace them.\u0026quot; \u0026ndash; Zoe Klesmith Alexander\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Big data is pretty much at its peak. Deep data, where your Alexa knows everything about you, or your phone knows everything about you, and rather than saying \u0026#39;other people who watched this show liked this show,\u0026#39; it\u0026#39;s going to say, \u0026#39;I know you liked these shows, I think you\u0026#39;ll like this show because of these reasons, one of which is because other people who liked all these other shows liked this show.\u0026#39; The ethical element will be how much of this data should these models use, and are people going to build a personal dataset that they can share with other apps, or is each app going to need to build their own dataset? The ethical question is who owns this data.\u0026quot; \u0026ndash; Brandon Biggs\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;I think ethics will become more and more important going forward. We are making huge breakthroughs in machine learning and artificial intelligence, but the systems we are creating are producing racist, sexist, and stereotypical results. For example, a recent system, Galactica, developed by Facebook (Meta) is powerful. It can produce research articles by just simply providing it with the title. It comes with some serious ethical concerns, in some cases, it produces racist, sexist text. So, as we will keep developing better models and making success in parallel, we need to always keep in mind the ethical implications of these models.\u0026quot; \u0026ndash; Agam A. Shah\u003C\/p\u003E\r\n\r\n\u003Ch5\u003EWhat research are you working on that you think people should know about or will have impact in 2023?\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Part of my research focuses on data-driven modeling of additive manufacturing processes\u0026nbsp;to better control dimensional quality of the final part. Another part of my research focuses on detecting anomalies in real-time using computer vision and machine learning for both warehouses and manufacturing processes.\u0026quot; \u0026ndash; Zoe Klesmith Alexander\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Right now, deep learning is built on feed-forward mathematical operations\u0026nbsp;that have little resemblance to the brain. I am working on a physics inspired approach to deep learning built around recurrent networks and energy functions. These architectures have the same mathematical foundation as the famous, biologically plausible Hopfield Network.\u0026quot; \u0026ndash; Ben Hoover\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;I am currently working on two projects which, in my opinion, will have an impact in 2023. In one project, we are measuring the exposure of public firms to ongoing inflation. We are also understanding how inflation affects different firms differently based on the pricing power of the firm. As inflation is the highest in the last 40 years, our study is highly relevant now and in the coming years till we get inflation back in control.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;The second work is related to the first work in some ways. As inflation is rising, to control the inflation Federal Reserve Bank is tightening its monetary policy. In our second work, we are measuring the stance of monetary policy (measuring hawkish vs dovish stance) of the Fed using state-of-the-art NLP models to see its impact in various financial markets (Treasury market, Stock market, Crypto market, etc.)\u0026quot; \u0026ndash; Agam A. Shah\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A group of Ph.D. students from the GT Computing community share their opinions on what\u0027s next for artificial intelligence in the new year."}],"uid":"32045","created_gmt":"2023-01-10 19:56:15","changed_gmt":"2023-01-11 13:19:57","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-01-10T00:00:00-05:00","iso_date":"2023-01-10T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"664620":{"id":"664620","type":"image","title":"ATL Skyline Reflected in Binary Bridge","body":null,"created":"1673381152","gmt_created":"2023-01-10 20:05:52","changed":"1673381152","gmt_changed":"2023-01-10 20:05:52","alt":"ATL skyline reflected in Binary Bridge","file":{"fid":"251459","name":"ATL Skyline Reflection-Binary Bridge.jpeg","image_path":"\/sites\/default\/files\/images\/ATL%20Skyline%20Reflection-Binary%20Bridge.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ATL%20Skyline%20Reflection-Binary%20Bridge.jpeg","mime":"image\/jpeg","size":50853,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ATL%20Skyline%20Reflection-Binary%20Bridge.jpeg?itok=V4IM1dF8"}}},"media_ids":["664620"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"191885","name":"M3GAN"},{"id":"2835","name":"ai"},{"id":"46361","name":"GT computing"},{"id":"191886","name":"What\u0027s Next for 2023"},{"id":"122801","name":"ML"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"180344","name":"nlp"},{"id":"23981","name":"natural language processing"},{"id":"109581","name":"deep learning"},{"id":"176999","name":"neural networks"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39461","name":"Manufacturing, Trade, and Logistics"},{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBen Snedeker, Comms. Mgr. II\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:albert.snedeker@cc.gatech.edu?subject=What\u0027s%20Next%20in%20AI%20for%202023\u0022\u003Ealbert.snedeker@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["albert.snedeker@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"662312":{"#nid":"662312","#data":{"type":"news","title":"Research Paves Way for Home Robot that Can Tidy a House on Its Own","body":[{"value":"\u003Cp\u003EStruggling with keeping your home clean and organized? You may soon have an extra set of hands to help around the house.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EImagine a home robot that can keep a house tidy without being given any commands from its owner. Well, the next step in home robotics is here \u0026mdash; at least virtually.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA group of doctoral and master\u0026rsquo;s students from Georgia Tech\u0026#39;s School of Interactive Computing, in collaboration with researchers from the University of Toronto, believe they have created the benchmark for a home robot that can keep an entire house tidy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn their paper,\u0026nbsp;\u003Cem\u003EHousekeep: Tidying Virtual Households Using Commonsense Reasoning\u003C\/em\u003E, Georgia Tech doctoral candidates \u003Cstrong\u003EHarsh\u003C\/strong\u003E \u003Cstrong\u003EAgrawal\u003C\/strong\u003E and \u003Cstrong\u003EAndrew\u003C\/strong\u003E \u003Cstrong\u003ESzot\u003C\/strong\u003E, master\u0026rsquo;s students \u003Cstrong\u003EArun\u003C\/strong\u003E \u003Cstrong\u003ERamachandran\u003C\/strong\u003E and \u003Cstrong\u003ESriram\u003C\/strong\u003E \u003Cstrong\u003EYenamandra\u003C\/strong\u003E, and \u003Cstrong\u003EYash\u003C\/strong\u003E \u003Cstrong\u003EKant\u003C\/strong\u003E, a former research visitor at Georgia Tech who is now a doctoral candidate at Toronto, set out to prove an embodied artificial intelligence (AI) could conduct simple housekeeping tasks without explicit instructions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing advanced natural language processing machine learning techniques, the students have successfully simulated the robot exploring a virtual household, identifying misplaced items, and putting them in their correct place.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKant said most robots in embodied AI are given specific instructions for different functions, but the students wanted to be sure the robot could achieve task completion without instructions in simulation before moving on to real-world testing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In the actual world, things are difficult,\u0026rdquo; Kant said. \u0026ldquo;Training robots in the real world \u0026mdash; they move around slowly; they will bump into things and people. So, we do it in simulation because you can run things at a faster speed, and you can have multiple virtual robots running.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDhruv\u003C\/strong\u003E \u003Cstrong\u003EBatra\u003C\/strong\u003E, an associate professor in the School of Interactive Computing and a research scientist with Meta AI, and \u003Cstrong\u003EIgor\u003C\/strong\u003E \u003Cstrong\u003EGilitschenski\u003C\/strong\u003E, an assistant professor of mathematical and computational sciences at Toronto, served as advisors on the paper, which was accepted to the 2022 European Conference on Computer Vision, Oct. 23-27 in Tel Aviv, Israel.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/ml-eccv-2022\/\u0022\u003E[FULL COVERAGE: Georgia Tech at ECCV 2022]\u003C\/a\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EIn the virtual simulation, the robot spawned in a random section of the house and immediately began looking for misplaced objects. It correctly identified a misplaced lunchbox in a kid\u0026rsquo;s bedroom and moved it to the kitchen. It also located some toys left in the bathroom and moved them to the kid\u0026rsquo;s bedroom.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAgrawal said the goal of the project from the beginning was to have the robot mimic commonsense reasoning that any human would have in tidying a house. Through surveys, the team collected rearrangement preferences for 1,799 objects in 585 placements in 105 rooms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We collected human preferences data,\u0026rdquo; Agrawal said. \u0026ldquo;We asked people where they like to keep certain objects, and we wanted robots to have a similar notion of cleanliness in a tidy home.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;You don\u0026rsquo;t provide instructions when you ask the kids to clean up the house. It\u0026rsquo;s commonsense. You know certain things go in certain places. You know Lego blocks don\u0026rsquo;t belong in the bathroom. We thought it\u0026rsquo;d be cool if it could clean up the house without specifying instructions. As humans, we can do a bunch of these tasks without being given specific instructions.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECreating the simulation had several challenges. These included getting the robot to use reason about the correct placement of new objects, getting the robot to adapt to new environments, and getting it to work through choices when there are multiple correct locations a misplaced object could go.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESzot said what attracted him to the project was the idea of creating a robot that didn\u0026rsquo;t need to be told where to put something, whereas in his previous work, that\u0026rsquo;s exactly what he had to do.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If you wanted it do something like clean up the house, you would have to tell it, \u0026lsquo;Hey, robot, move that object to there,\u0026rsquo;\u0026rdquo; Szot said. \u0026ldquo;It\u0026rsquo;s very tedious to specify that. We took the first step of saying let\u0026rsquo;s give the robot some commonsense reasoning. It might not be specific to a person; it might just be capturing more generally what people think, but it captures a lot of important situations. It\u0026rsquo;s able to handle most of those situations in which people agree the object belongs there or the object doesn\u0026rsquo;t belong there.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing text from the internet, the team informed the AI that drives the robot by fine-tuning a large language model based on human preferences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The way we approached solving this problem is we took this external source of knowledge from text on the internet and these language tasks, and so from natural language processing we took that information and used it to give our robot some idea of this common sense,\u0026rdquo; Szot said. \u0026ldquo;It wasn\u0026rsquo;t purely from the house it learned how to do these things. From articles or texts online, it was able to distill this commonsense reasoning ability and then apply it.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKant said using language models allows the AI to distinguish between objects and whether those objects should go together. He added that he thinks that the language model used to train the AI can be fine-tuned by extracting content from web articles related to housekeeping.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Language models have shown very promising results in trying to extract semantics, like whether two things \u0026mdash; say an apple and fruit basket \u0026mdash; go together in a household,\u0026rdquo; Kant said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team is just at the tip of the iceberg, and the virtual simulation serves only as a proof of concept. It\u0026rsquo;s a long-term project that will continue to explore new possibilities, which include creating a robot that can tidy a household according to specific user preferences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBut the successful use of NLP methods to inform a novel AI could break new barriers in the creation of new systems in which organization is the focus.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s a benchmark for the rest of the community to use,\u0026rdquo; Szot said. \u0026ldquo;Hopefully this is something for people to gather behind to focus on this very realistic task setting of cleaning the house. We showed that you can create these embodied agents that can use this external knowledge and learn commonsense and use it in embodied robotic settings.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I think the data that we collected is pretty significant in the sense that we now have a few hundred annotations for where each object should go in houses and where they\u0026rsquo;re likely to be found in untidy houses, and I think that information can guide a lot of systems,\u0026rdquo; Agrawal added. \u0026ldquo;I feel like we are starting to now see people saying all these annotations can be used for building their own systems and benchmarks.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A group of doctoral and master\u2019s students from Georgia Tech\u0027s School of Interactive Computing believe they have created the benchmark for a home robot that can keep an entire house tidy."}],"uid":"32045","created_gmt":"2022-10-19 15:09:13","changed_gmt":"2022-10-19 20:02:41","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-10-19T00:00:00-04:00","iso_date":"2022-10-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"662342":{"id":"662342","type":"image","title":"Housekeep","body":null,"created":"1666204859","gmt_created":"2022-10-19 18:40:59","changed":"1666204859","gmt_changed":"2022-10-19 18:40:59","alt":"Housekeep is a benchmark to evaluate commonsense reasoning in the home for embodied AI. I","file":{"fid":"250840","name":"housekeeping-algorithm.jpeg","image_path":"\/sites\/default\/files\/images\/housekeeping-algorithm.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/housekeeping-algorithm.jpeg","mime":"image\/jpeg","size":88451,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/housekeeping-algorithm.jpeg?itok=N8VKYqsO"}},"662343":{"id":"662343","type":"image","title":"Housekeep research team collage","body":null,"created":"1666204942","gmt_created":"2022-10-19 18:42:22","changed":"1666204942","gmt_changed":"2022-10-19 18:42:22","alt":"Housekeep research team collage","file":{"fid":"250841","name":"authors_housekeeping-bot-copy_v2.2.jpg","image_path":"\/sites\/default\/files\/images\/authors_housekeeping-bot-copy_v2.2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/authors_housekeeping-bot-copy_v2.2.jpg","mime":"image\/jpeg","size":227143,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/authors_housekeeping-bot-copy_v2.2.jpg?itok=6pxpNCGZ"}}},"media_ids":["662342","662343"],"related_links":[{"url":"https:\/\/sites.gatech.edu\/ml-eccv-2022\/","title":"Georgia Tech at ECCV 2022"}],"groups":[{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"50876","name":"School of Interactive Computing"},{"id":"434391","name":"ECE M.S. Thesis Defenses"},{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"},{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"1356","name":"robot"},{"id":"191487","name":"eccv"},{"id":"191488","name":"tidy"},{"id":"2483","name":"interactive computing"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENathan Deen, Communications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["ndeen6@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"659546":{"#nid":"659546","#data":{"type":"news","title":"Georgia Tech Researchers Present New Machine Learning Methods and Applications at ICML 2022","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers have new published research this week at the International Conference on Machine Learning (ICML), one of the leading international academic conferences in machine learning, the field of computer science that gives computer systems the ability to learn from data. ICML 2022 runs through Saturday in Baltimore, Maryland.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research venue is globally renowned for presenting and publishing\u0026nbsp;cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech researchers are featured throughout the technical program for new contributions to ML methods and applications. There are 15 papers from Tech in the main program and workshops.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EICML\u0026rsquo;s top research tier \u0026ndash; oral papers \u0026ndash; includes two works from Georgia Tech\u0026rsquo;s H. Milton Stewart School of Industrial and Systems Engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETech researchers are presenting in the following sessions:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EAdaptive Experimental Design and Active Learning in the Real World (ReALML)\u003C\/li\u003E\r\n\t\u003Cli\u003EBeyond Bayes: Paths Towards Universal Reasoning Systems\u003C\/li\u003E\r\n\t\u003Cli\u003EDeep Learning: SSL\/GNN\u003C\/li\u003E\r\n\t\u003Cli\u003EDeep Learning\/Optimization\u003C\/li\u003E\r\n\t\u003Cli\u003EDeep Learning: Theory\u003C\/li\u003E\r\n\t\u003Cli\u003ENew Frontiers in Adversarial Machine Learning\u003C\/li\u003E\r\n\t\u003Cli\u003EOptimization: Convex\u003C\/li\u003E\r\n\t\u003Cli\u003EPM: Monte Carlo and Sampling Methods\u003C\/li\u003E\r\n\t\u003Cli\u003EPM: Variational Inference\/Bayesian Models and Methods\u003C\/li\u003E\r\n\t\u003Cli\u003EStable Conformal Prediction Sets\u003C\/li\u003E\r\n\t\u003Cli\u003ET: Online Learning and Bandits\u003C\/li\u003E\r\n\t\u003Cli\u003ETheory\/Social Aspects\u003C\/li\u003E\r\n\t\u003Cli\u003ETopology, Algebra, and Geometry in Machine Learning\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EDetails about the ICML research from Georgia Tech are at the links below. To learn more about the Machine Learning Center at Georgia Tech visit\u0026nbsp;\u003Ca href=\u0022https:\/\/ml.gatech.edu\/\u0022\u003Ehttps:\/\/ml.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Ch2\u003E\u003Cstrong\u003EGeorgia Tech at ICML 2022\u003C\/strong\u003E\u003C\/h2\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EORALS\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStable Conformal Prediction Sets\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=16842\u0022\u003EMISC: General Machine Learning Techniques\u003C\/a\u003E\u003Cbr \/\u003E\r\nEugene Ndiaye\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheory\/Social Aspects\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=16656\u0022\u003EFederated Reinforcement Learning: Linear Speedup Under Markovian Sampling\u003C\/a\u003E\u003Cbr \/\u003E\r\nSajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPAPERS\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeep Learning\/Optimization\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=16096\u0022\u003ENISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks\u003C\/a\u003E\u003Cbr \/\u003E\r\nMustafa Burak Gurbuz, Constantine Dovrolis\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESPOTLIGHTS\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EApplications\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=17018\u0022\u003EPLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance\u003C\/a\u003E\u003Cbr \/\u003E\r\nQingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeep Learning: SSL\/GNN\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=16824\u0022\u003EVariational Wasserstein gradient flow\u003C\/a\u003E\u003Cbr \/\u003E\r\nJiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDL: Theory\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=18120\u0022\u003EBenefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint\u003C\/a\u003E\u003Cbr \/\u003E\r\nHao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOptimization: Convex\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=18332\u0022\u003EActive Sampling for Min-Max Fairness\u003C\/a\u003E\u003Cbr \/\u003E\r\nJacob Abernethy, Pranjal Awasthi, Matth\u0026auml;us Kleindessner, Jamie Morgenstern, Chris Russell, Jie Zhang\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPM: Monte Carlo and Sampling Methods\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=16596\u0022\u003EHessian-Free High-Resolution Nesterov Acceleration For Sampling\u003C\/a\u003E\u003Cbr \/\u003E\r\nRuilin Li, Hongyuan Zha, Molei Tao\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPM: Variational Inference\/Bayesian Models and Methods\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=16430\u0022\u003EVariational Sparse Coding with Learned Thresholding\u003C\/a\u003E\u003Cbr \/\u003E\r\nKion Fallah, Christopher J. Rozell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ET: Online Learning and Bandits\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=16806\u0022\u003EUniversal and data-adaptive algorithms for model selection in linear contextual bandits\u003C\/a\u003E\u003Cbr \/\u003E\r\nVidya Muthukumar, Akshay Krishnamurthy\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheory\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/icml.cc\/Conferences\/2022\/Schedule?showEvent=16966\u0022\u003EActiveHedge: Hedge meets Active Learning\u003C\/a\u003E\u003Cbr \/\u003E\r\nBhuvesh Kumar, Jacob Abernethy, Venkatesh Saligrama\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWORKSHOPS\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdaptive Experimental Design and Active Learning in the Real World (ReALML) workshop\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2206.10120.pdf\u0022\u003EDECAL: DEployable Clinical Active Learning\u003C\/a\u003E\u003Cbr \/\u003E\r\nY. Logan, M. Prabhushankar and G. AlRegib\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBeyond Bayes: Paths Towards Universal Reasoning Systems\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2202.11838\u0022\u003EExplanatory Paradigms in Neural Networks\u003C\/a\u003E\u003Cbr \/\u003E\r\nGhassan AlRegib, Mohit Prabhushankar\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENew Frontiers in Adversarial Machine Learning\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2206.08255\u0022\u003EGradient-Based Adversarial and Out-of-Distribution Detection\u003C\/a\u003E\u003Cbr \/\u003E\r\nJinsol Lee, Mohit Prabhushankar, Ghassan AlRegib\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETopology, Algebra, and Geometry in Machine Learning (Workshop)\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2206.06563\u0022\u003EZeroth-Order Topological Insights into Iterative Magnitude Pruning\u003C\/a\u003E\u003Cbr \/\u003E\r\nAishwarya Balwani, Jakob Krzyston\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech researchers have new published research at the International Conference on Machine Learning (ICML), a leading academic conference in machine learning, the field of computer science that gives computer systems the ability to learn from data.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers have new published research at the International Conference on Machine Learning (ICML), a leading academic conference in machine learning, the field of computer science that gives computer systems the ability to learn from data."}],"uid":"27592","created_gmt":"2022-07-20 20:44:22","changed_gmt":"2022-07-20 20:57:01","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-07-18T00:00:00-04:00","iso_date":"2022-07-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"659547":{"id":"659547","type":"image","title":"ICML 2022","body":null,"created":"1658349915","gmt_created":"2022-07-20 20:45:15","changed":"1658349915","gmt_changed":"2022-07-20 20:45:15","alt":"","file":{"fid":"249974","name":"ICML22 people collage_final3.png","image_path":"\/sites\/default\/files\/images\/ICML22%20people%20collage_final3.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ICML22%20people%20collage_final3.png","mime":"image\/png","size":3617727,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ICML22%20people%20collage_final3.png?itok=kwUwjR5u"}}},"media_ids":["659547"],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJoshua Preston\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:jpreston7@gatech.edu?subject=ICML%202022\u0022\u003EResearch Communications Manager\u003C\/a\u003E\u003Cbr \/\u003E\r\nCollege of Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"659345":{"#nid":"659345","#data":{"type":"news","title":"Georgia Tech Research In Natural Language Processing Derives Insight from Growing Volume of Digital Text","body":[{"value":"\u003Cp\u003ENatural language processing (NLP) is a growing cornerstone of artificial intelligence and allows for people and machines to take action based on insights in digital text. New NLP research from Georgia Tech is allowing for patterns to be uncovered in this text and broaden the understanding of how to build better computer applications that derive value from written language.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech researchers are presenting their latest work at the annual conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), taking place this week, July 10-15. NAACL provides a regional focus for members of the Association for Computational Linguistics (ACL) in North America as well as in Central and South America and promotes cooperation and information exchange among related scientific and professional societies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Recent advances in natural language processing \u0026shy;\u0026shy;\u0026shy;\u0026shy;\u0026ndash; especially around big models \u0026ndash; have enabled successful applications,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003EDiyi Yang\u003C\/strong\u003E, assistant professor in the School of Interactive Computing and researcher in NLP. \u0026ldquo;At the same time, we see a growing amount of evidence and concern toward the negative aspects of NLP systems, such as the bias and fragility exhibited by these models, as well as the lack of input from users.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYang\u0026rsquo;s work in computational social science and NLP focuses on how to understand human communication in social context\u0026nbsp;and build\u0026nbsp;socially aware\u0026nbsp;language technologies to support human-to-human and human-computer interaction.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHer SALT Lab has accrued an impressive number of innovations in the field over the past eight months, starting with research at November 2021\u0026rsquo;s EMNLP conference. SALTers, as they are called, led Georgia Tech to become the top global contributor in computational social science and cultural analytics at that venue. The 60\u003Csup\u003Eth\u003C\/sup\u003E\u0026nbsp;Meeting of the ACL in Dublin followed in May with multiple SALT studies, including a best paper. Yang\u0026rsquo;s group has six papers at this week\u0026rsquo;s NAACL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We hope to build NLP systems that are more user centric, more robust, and more aware of human factors,\u0026rdquo; said Yang. \u0026ldquo;Our NAACL works are in this direction, covering robustness, toxicity detection, and generalization to new settings.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYang\u0026rsquo;s aspirations for the field are shared by her GT peers, who together have work in the following tracks at NAACL:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EEthics, Bias, Fairness\u003C\/li\u003E\r\n\t\u003Cli\u003EInformation Extraction\u003C\/li\u003E\r\n\t\u003Cli\u003EInformation Retrieval\u003C\/li\u003E\r\n\t\u003Cli\u003EInterpretability and Analysis of Models for NLP\u003C\/li\u003E\r\n\t\u003Cli\u003EMachine Learning\u003C\/li\u003E\r\n\t\u003Cli\u003EMachine Learning for NLP\u003C\/li\u003E\r\n\t\u003Cli\u003ESemantics: Sentence-level Semantics and Textual Inference\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s research paper acceptances in the main track at NAACL are below. To learn more about NLP and machine learning research at Georgia Tech visit\u0026nbsp;\u003Ca href=\u0022https:\/\/ml.gatech.edu\/\u0022\u003Ehttps:\/\/ml.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGEORGIA TECH RESEARCH AT NAACL 2022\u003C\/strong\u003E\u0026nbsp;(main paper track)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EEthics, Bias, Fairness\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExplaining Toxic Text via Knowledge Enhanced Text Generation\u003Cbr \/\u003E\r\n\u003Cem\u003ERohit Sridhar, Diyi Yang\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EInformation Extraction\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESelf-Training with Differentiable Teacher\u003Cbr \/\u003E\r\n\u003Cem\u003ESimiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EInformation Retrieval\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data\u003Cbr \/\u003E\r\n\u003Cem\u003ERui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EInterpretability and Analysis of Models for NLP\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIdentifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models\u003Cbr \/\u003E\r\n\u003Cem\u003ETianlu Wang, Rohit Sridhar, Diyi Yang, Xuezhi Wang\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMeasure and Improve Robustness in NLP Models: A Survey\u003Cbr \/\u003E\r\n\u003Cem\u003EXuezhi Wang, Haohan Wang, Diyi Yang\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EReframing Human-AI Collaboration for Generating Free-Text Explanations\u003Cbr \/\u003E\r\n\u003Cem\u003ESarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark Riedl, Yejin Choi\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMachine Learning\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAcTune: Uncertainty-Aware Active Self-Training for Active Fine-Tuning of Pretrained Language Models\u003Cbr \/\u003E\r\n\u003Cem\u003EYue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation\u003Cbr \/\u003E\r\n\u003Cem\u003ESimiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMachine Learning for NLP\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding\u003Cbr \/\u003E\r\n\u003Cem\u003ELe Zhang, Zichao Yang, Diyi Yang\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENLP Applications\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECryptocoin Bubble Detection: A New Dataset, Task \u0026amp; Hyperbolic Models\u003Cbr \/\u003E\r\n\u003Cem\u003ERamit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESemantics: Sentence-level Semantics and Textual Inference\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models\u003Cbr \/\u003E\r\n\u003Cem\u003EJingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESUBS: Subtree Substitution for Compositional Semantic Parsing\u003Cbr \/\u003E\r\n\u003Cem\u003EJingfeng Yang, Le Zhang, Diyi Yang\u003C\/em\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENatural language processing (NLP) is a growing cornerstone of artificial intelligence and allows for people and machines to take action based on insights in digital text. New NLP research from Georgia Tech is allowing for patterns to be uncovered in this text and broaden the understanding of how to build better computer applications that derive value from written language.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"New NLP research from Georgia Tech is allowing for patterns to be uncovered in this text and broaden the understanding of how to build better computer applications that derive value from written language."}],"uid":"27592","created_gmt":"2022-07-11 18:19:31","changed_gmt":"2022-07-11 18:51:11","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-07-11T00:00:00-04:00","iso_date":"2022-07-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"659346":{"id":"659346","type":"image","title":"NAACL 2022","body":null,"created":"1657563706","gmt_created":"2022-07-11 18:21:46","changed":"1657563706","gmt_changed":"2022-07-11 18:21:46","alt":"","file":{"fid":"249910","name":"main graphic_gt_naacl22_horiz copy.jpg","image_path":"\/sites\/default\/files\/images\/main%20graphic_gt_naacl22_horiz%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/main%20graphic_gt_naacl22_horiz%20copy.jpg","mime":"image\/jpeg","size":890194,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/main%20graphic_gt_naacl22_horiz%20copy.jpg?itok=waX7HdVX"}}},"media_ids":["659346"],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston7@gatech.edu?subject=NAACL%202022\u0022\u003EJoshua Preston\u003C\/a\u003E\u003Cbr \/\u003E\r\nResearch Communications Manager\u003Cbr \/\u003E\r\nCollege of Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jpreston7@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"658913":{"#nid":"658913","#data":{"type":"news","title":"Georgia Tech Presents Latest in Machine Learning Research at Computer Vision and Pattern Recognition Conference June 19-24","body":[{"value":"\u003Cp\u003EGeorgia Institute of Technology researchers will present new technical findings in artificial intelligence, machine learning, and computer vision research and applications at the Computer Vision and Pattern Recognition (CVPR) conference taking place from June 19-24, 2022, in New Orleans, Louisiana, and virtually.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe institute is a leading contributor in the technical program and researchers will present 11 papers in the following tracks:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E3D from multi-view and sensors\u003C\/li\u003E\r\n\t\u003Cli\u003EDatasets and evaluation\u003C\/li\u003E\r\n\t\u003Cli\u003ENavigation and autonomous driving\u003C\/li\u003E\r\n\t\u003Cli\u003ERecognition: detection, categorization, retrieval\u003C\/li\u003E\r\n\t\u003Cli\u003ESelf-\u0026amp; semi-\u0026amp; meta- \u0026amp; unsupervised learning\u003C\/li\u003E\r\n\t\u003Cli\u003EVision + language\u003C\/li\u003E\r\n\t\u003Cli\u003EVision applications and systems\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Researchers in the Machine Learning Center at Georgia Tech aim to research and develop innovative and sustainable technologies using machine learning and artificial intelligence that serve broader communities in socially and ethically responsible ways,\u0026rdquo; said Irfan Essa, director of the center and senior associate dean in the College of Computing. \u0026ldquo;The GT research at CVPR reflects this broader goal, and we are actively building pathways to connect our experts to explore the implications of this technology in the world.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech researchers at CVPR are collaborating in their current work with more than 100 peer authors from dozens of organizations that span industry, government, and academia.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe conference will draw leading authors, academics, and experts in key areas of artificial intelligence with an expected crowd of more than 7,500 attendees this year. Hosted by the IEEE Computer Society (IEEE CS) and the Computer Vision Foundation (CVF), CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EML@GT has created an \u003Ca href=\u0022https:\/\/public.tableau.com\/views\/CVPR2022\/Dashboard1?:showVizHome=no\u0022\u003Einteractive visual analysis\u003C\/a\u003E of the CVPR 2022 papers program to show current trends in the field. The analysis breaks down the number of papers and authors by research area and allows users to explore areas of interest, including oral and poster papers on a particular topic. Research can also be narrowed down to particular institutions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo learn more about Georgia Tech work at CVPR, details and paper links are below.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch2\u003E\u003Cstrong\u003EGeorgia Tech Research at CVPR 2022\u003C\/strong\u003E\u003C\/h2\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E3D FROM MULTI-VIEW AND SENSORS\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Hruby_Learning_To_Solve_Hard_Minimal_Problems_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003ELearning To Solve Hard Minimal Problems\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EPetr Hruby, Timothy Duff, Anton Leykin, Tomas Pajdla\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Kundu_Panoptic_Neural_Fields_A_Semantic_Object-Aware_Neural_Scene_Representation_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EPanoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EAbhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas Funkhouser\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDATASETS AND EVALUATION\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Grauman_Ego4D_Around_the_World_in_3000_Hours_of_Egocentric_Video_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EEgo4D: Around the World in 3,000 Hours of Egocentric Video\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EKristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonz\u0026aacute;lez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, J\u0026aacute;chym Kol\u0026aacute;\u0159, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbel\u0026aacute;ez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Bryant_Multi-Dimensional_Nuanced_and_Subjective_-_Measuring_the_Perception_of_Facial_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EMulti-Dimensional, Nuanced and Subjective \u0026ndash; Measuring the Perception of Facial Expressions\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EDe\u0026#39;Aira Bryant, Siqi Deng, Nashlie Sephus, Wei Xia, Pietro Perona\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENAVIGATION AND AUTONOMOUS DRIVING\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Partsey_Is_Mapping_Necessary_for_Realistic_PointGoal_Navigation_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EIs Mapping Necessary for Realistic PointGoal Navigation?\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003ERuslan Partsey, Erik Wijmans, Naoki Yokoyama, Oles Dobosevych, Dhruv Batra, Oleksandr Maksymets\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERECOGNITION: DETECTION, CATEGORIZATION, RETRIEVAL\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Li_Cross-Domain_Adaptive_Teacher_for_Object_Detection_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003ECross-Domain Adaptive Teacher for Object Detection\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EYu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Zhang_Group_R-CNN_for_Weakly_Semi-Supervised_Object_Detection_With_Points_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EGroup R-CNN for Weakly Semi-Supervised Object Detection With Points\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EShilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESELF-\u0026amp; SEMI-\u0026amp; META- \u0026amp; UNSUPERVISED LEARNING\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Liu_Unbiased_Teacher_v2_Semi-Supervised_Object_Detection_for_Anchor-Free_and_Anchor-Based_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EUnbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EYen-Cheng Liu, Chih-Yao Ma, Zsolt Kira\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EVISION + LANGUAGE\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Kuo_Beyond_a_Pre-Trained_Object_Detector_Cross-Modal_Textual_and_Visual_Context_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EBeyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EChia-Wen Kuo, Zsolt Kira\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Ramrakhya_Habitat-Web_Learning_Embodied_Object-Search_Strategies_From_Human_Demonstrations_at_Scale_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EHabitat-Web: Learning Embodied Object-Search Strategies From Human Demonstrations at Scale\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003ERam Ramrakhya, Eric Undersander, Dhruv Batra, Abhishek Das\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EVISION APPLICATIONS AND SYSTEMS\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Datta_Episodic_Memory_Question_Answering_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EEpisodic Memory Question Answering\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003ESamyak Datta, Sameer Dharur, Vincent Cartillier, Ruta Desai, Mukul Khanna, Dhruv Batra, Devi Parikh\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDEMO\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Vellaichamy_DetectorDetective_Investigating_the_Effects_of_Adversarial_Examples_on_Object_Detectors_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EDetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003ESivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, ShengYun Peng, Haekyu Park, Duen Horng (Polo) Chau\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/openaccess.thecvf.com\/content\/CVPR2022\/html\/Lee_VisCUIT_Visual_Auditor_for_Bias_in_CNN_Image_Classifier_CVPR_2022_paper.html\u0022\u003E\u003Cstrong\u003EVisCUIT: Visual Auditor for Bias in CNN Image Classifier\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003ESeongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng (Polo) Chau\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWORKSHOP\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/sites.google.com\/view\/mabe22\/\u0022\u003EMulti-Agent Behavior: Representation, Modeling, Measurement, and Applications\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELearning Behavior Representations Through Multi-Timescale Bootstrapping\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EMehdi Azabou, Michael Mendelson, Maks Sorokin, Shantanu Thakoor, Nauman Ahad, Carolina Urzay, Mohammad Gheshlaghi Azar, Eva L. Dyer\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Institute of Technology researchers will present new technical findings in artificial intelligence, machine learning, and computer vision research and applications at the Computer Vision and Pattern Recognition (CVPR) conference June 19-24."}],"uid":"27592","created_gmt":"2022-06-15 15:40:57","changed_gmt":"2022-06-15 15:45:31","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-06-15T00:00:00-04:00","iso_date":"2022-06-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"658915":{"id":"658915","type":"image","title":"CVPR 2022 visual analysis","body":null,"created":"1655307891","gmt_created":"2022-06-15 15:44:51","changed":"1655307891","gmt_changed":"2022-06-15 15:44:51","alt":"","file":{"fid":"249767","name":"Data Viz_CVPR.jpg","image_path":"\/sites\/default\/files\/images\/Data%20Viz_CVPR.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Data%20Viz_CVPR.jpg","mime":"image\/jpeg","size":349122,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Data%20Viz_CVPR.jpg?itok=cFPyI3zO"}}},"media_ids":["658915"],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston7@gatech.edu?subject=CVPR%20news\u0022\u003EJosh Preston\u003C\/a\u003E\u003Cbr \/\u003E\r\nResearch Communications Manager\u003Cbr \/\u003E\r\nCollege of Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"657942":{"#nid":"657942","#data":{"type":"news","title":"New Framework for Cooperative Bots Mimics High-Functioning Human Teams, Decreases Risks from Unreliable Bots","body":[{"value":"\u003Cp\u003EA Georgia Institute of Technology\u0026nbsp;research group in the School of Interactive Computing has developed a robotics system that exceeds existing standards for collaborative bots that work independently to achieve a shared goal.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe system intelligently increases the information shared among the bots and \u003Ca href=\u0022https:\/\/www.youtube.com\/watch?v=rK_itCF9hPc\u0022\u003Eallows for improved cooperation\u003C\/a\u003E. The aim is to model high-functioning human teams. It also creates resiliency against bad or unreliable team bots that may hinder the overall programmed goal.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Intuitively, the idea behind our new framework \u0026mdash; InfoPG \u0026mdash;\u0026nbsp;is that a robot agent goes back-and-forth on what it thinks it \u003Cem\u003Eshould\u003C\/em\u003E do with their teammates, and then the teammates will update on what they think is \u003Cem\u003Ebest\u003C\/em\u003E to do,\u0026rdquo; said \u003Cstrong\u003EEsmaeil Seraj\u003C\/strong\u003E, Ph.D. student in the \u003Ca href=\u0022https:\/\/core-robotics.gatech.edu\/\u0022\u003ECORE Robotics Lab\u003C\/a\u003E and researcher on the project. \u0026ldquo;They do this until the decision is deeply rationalized and reasoned about.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe work focuses on artificial agents on a decentralized team \u0026mdash; in simulations or the real world \u0026mdash;\u0026nbsp;working in concert toward a specific task. Applications could include surgery, search and rescue, and disaster response, among others.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EInfoPG facilitates communication between the artificial agents on an iterative basis and allows for actions and decisions that mimic human teams working at optimal levels.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This research is in fact inspired by how high-performing human teams act,\u0026rdquo; said Seraj.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Humans normally use k-level thinking \u0026mdash; such as, \u0026lsquo;what I think you will do, what I think you think I will do, and so on\u0026rsquo; \u0026mdash; to rationalize their actions in a team,\u0026rdquo; he said. \u0026ldquo;The basic thought is that the more you know about your teammate\u0026#39;s strategy, the easier it is for you to take the best action possible.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing this approach, the researchers designed InfoPG to make one bot\u0026rsquo;s decisions conditional on its teammates. They ran simulations using simple games like Pong, and complex games like StarCraft II.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn the latter \u0026mdash; where the goal is for one team of agents to defeat another \u0026mdash; the InfoPG architecture showed very advanced strategies. Seraj said agents in one case learned to form a triangle formation, sacrificing the front agent while the two other agents eliminated the enemy. Without InfoPG in play, an agent abandoned its team to save itself.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe new method also limits the disruption a bad bot on the team might cause.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Coordinating actions with such a fraudulent agent in a collaborative multi-agent setting can be detrimental,\u0026rdquo; said \u003Cstrong\u003EMatthew Gombolay\u003C\/strong\u003E, assistant professor in the School of Interactive Computing and director of the CORE Robotics Lab. \u0026ldquo;We need to ensure the integrity of robot teams in real-world applications where bots might be tasked to save lives or help people and organizations extend their capabilities.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResults of the work show InfoPG\u0026rsquo;s performance exceeds various baselines in learning cooperative policies for multi-agent reinforcement learning. The researchers plan to move the system from simulation into real robots, such as controlling a swarm of drones to help surveil and fight wildfires.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research is published in the 2022 Proceedings of the International Conference on Learning Representations. The paper, \u003Cem\u003EIterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming\u003C\/em\u003E is co-authored by computer science major \u003Cstrong\u003ESachin G. Konan\u003C\/strong\u003E, Seraj, and Gombolay.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis work was sponsored by the Office of Naval Research under grant N00014-19-1-2076 and the Naval Research Lab (NRL) under the grant N00173-20-1-G009. The researchers\u0026rsquo; views and statements are based on their findings and do not necessarily reflect those of the funding agencies.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA Georgia Tech research group in the School of Interactive Computing has developed a robotics system that exceeds existing standards for collaborative bots that work independently to achieve a shared goal.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A Georgia Tech research group in the School of Interactive Computing has developed a robotics system that exceeds existing standards for collaborative bots that work independently to achieve a shared goal. "}],"uid":"27592","created_gmt":"2022-05-04 13:53:03","changed_gmt":"2022-05-05 18:12:26","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-05-04T00:00:00-04:00","iso_date":"2022-05-04T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"657945":{"id":"657945","type":"image","title":"Improving collaboration in decentralized teams of bots","body":null,"created":"1651672727","gmt_created":"2022-05-04 13:58:47","changed":"1651672727","gmt_changed":"2022-05-04 13:58:47","alt":"","file":{"fid":"249393","name":"promo_graphic_ICLR22_collab robots.jpg","image_path":"\/sites\/default\/files\/images\/promo_graphic_ICLR22_collab%20robots.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/promo_graphic_ICLR22_collab%20robots.jpg","mime":"image\/jpeg","size":589661,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/promo_graphic_ICLR22_collab%20robots.jpg?itok=IZixdgDo"}},"657946":{"id":"657946","type":"image","title":"Multiwalker bots coordinating to carry object","body":null,"created":"1651672836","gmt_created":"2022-05-04 14:00:36","changed":"1651672836","gmt_changed":"2022-05-04 14:00:36","alt":"","file":{"fid":"249394","name":"robot cooperation in decentralized team.png","image_path":"\/sites\/default\/files\/images\/robot%20cooperation%20in%20decentralized%20team.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/robot%20cooperation%20in%20decentralized%20team.png","mime":"image\/png","size":2326733,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/robot%20cooperation%20in%20decentralized%20team.png?itok=VL1FfTYk"}}},"media_ids":["657945","657946"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston7@gatech.edu\u0022\u003EJoshua Preston\u003C\/a\u003E\u003Cbr \/\u003E\r\nResearch Communications Manager\u003Cbr \/\u003E\r\nCollege of Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jpreston7@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"656188":{"#nid":"656188","#data":{"type":"news","title":"Jing Li and Turgay Ayer Named Virginia C. and Joseph C. Mello Chairs in ISyE","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0026rsquo;s H. Milton School of Industrial Systems and Engineering announced two new appointments to the Virginia C. and Joseph C. Mello Chair. Professor \u003Cstrong\u003EJing Li\u003C\/strong\u003E and Associate Professor \u003Cstrong\u003ETurgay Ayer\u003C\/strong\u003E both earned the designation earlier this year, which recognizes faculty leaders in the field of health care delivery operations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELi, also core faculty in the \u003Ca href=\u0022http:\/\/ml.gatech.edu\u0022\u003ECenter for Machine Learning at Georgia Tech\u003C\/a\u003E, currently focuses on the developments of machine learning algorithms for precision medicine specifically with regards to the brain. She leverages collaborations with radiologists and neurologists to investigate brain diseases like cancer, Alzheimer\u0026rsquo;s, and post-traumatic headache after brain injury.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EToday, technology advances have produced more data than ever before, imaging, genomics, mobile health data, etc., which allow researchers to develop more personalized algorithms for diagnosis and prognosis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;What disease do they have? How severe is it? How will the disease change in the future? Are they on the track of recovery, or are they going to get worse,\u0026rdquo; Li said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing the available datasets from imaging, genomics, clinical records, and mobile apps \u0026amp; wearables, they are building personalized models for diagnosis and treatment in each of these areas that can lead to early detection and more effective outcomes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAyer, who also holds an appointment from Emory Medical School and serves as a senior advisor to CDC, focuses on health care analytics and socially responsible business analytics with an emphasis on practice-focused research. In recent work, he has attempted to build up more robust and effective virtual trials for medical screening, diagnosis and treatment using large-scale mathematical models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you look at the gold standard in medicine and clinical science \u0026ndash; randomized control trials \u0026ndash; it generally utilizes A\/B testing strategies. But what if there are thousands of strategies to compare, not just Strategy A and Strategy B?\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In a recent study, we looked at multi-modality cancer screening strategies for cancer detection in gene mutation carriers,\u0026rdquo; Ayer said. \u0026ldquo;You ask questions like: Should you use ultrasound screening or MRI screening? How about mammography screening? Or maybe mammography plus ultrasound screening? At what age should you start \u0026ndash; 25 to 30? Or 35?\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;At what age should you transfer from a less intensive screening to another? Is that cost effective? And what if we are solving this problem for the United States versus sub-Saharan Africa where resources are more limited? There are millions and billions of scenarios, and you can\u0026rsquo;t design a randomized control trial that would effectively compare those.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAyer\u0026rsquo;s work has spanned long-term chronic disease, both communicable and non-communicable \u0026ndash; diseases like COVID-19 for the former and different cancers for the latter.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBoth Li and Ayer said the chair appointment would assist in their work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s a great honor and recognition,\u0026rdquo; Li said. \u0026ldquo;I think going forward this will help me to pursue bigger efforts and initiatives, engaging people with a variety of expertise. This research needs collaboration across different descriptions. \u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It helps to bring more visibility to the work,\u0026rdquo; Ayer echoed. \u0026ldquo;This will also help us scale up the resources that we have within our communities and reach out to more collaborators.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EProfessor \u003Cstrong\u003EJing Li\u003C\/strong\u003E and Associate Professor \u003Cstrong\u003ETurgay Ayer\u003C\/strong\u003E both earned the designation earlier this year, which recognizes faculty leaders in the field of health care delivery operations.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The Virginia C. and Joseph C. Mello Chairs recognize faculty leaders in the field of health care delivery operations."}],"uid":"33939","created_gmt":"2022-03-09 21:36:53","changed_gmt":"2022-03-16 19:57:39","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-03-09T00:00:00-05:00","iso_date":"2022-03-09T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"656187":{"id":"656187","type":"image","title":"Jing Li and Turgay Ayer","body":null,"created":"1646861401","gmt_created":"2022-03-09 21:30:01","changed":"1646861401","gmt_changed":"2022-03-09 21:30:01","alt":"Jing Li and Turgay Ayer","file":{"fid":"248754","name":"Jing Li and Turgay Ayer.png","image_path":"\/sites\/default\/files\/images\/Jing%20Li%20and%20Turgay%20Ayer.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Jing%20Li%20and%20Turgay%20Ayer.png","mime":"image\/png","size":876217,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Jing%20Li%20and%20Turgay%20Ayer.png?itok=c8rdu52g"}}},"media_ids":["656187"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1250","name":"Center for Health and Humanitarian Systems (CHHS)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"}],"categories":[],"keywords":[{"id":"190142","name":"ISYE; college of engineering; engineering; health care; Virginia c. and Joseph c. Mello; faculty"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Manager\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@isye.gatech.edu\u0022\u003Edavid.mitchell@isye.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"654779":{"#nid":"654779","#data":{"type":"news","title":"NSF Grant Could Lead to Better Computational Tools for Human Fact Checkers","body":[{"value":"\u003Cp\u003EThe spread of misinformation online on social media platforms has presented immediate challenges with potentially dire consequences, particularly around topics like public health and election integrity.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA $750,000 grant from the National Science Foundation could help give human fact checkers the computational tools needed to accurately and efficiently push back against this growing swell.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs part of a larger $21 million investment made by the NSF, Georgia Tech researchers and collaborators at the University of Wisconsin and Washington State University will examine the spread of misinformation, how that is fact checked, the challenges that prevent accurate and efficient correction, and the messaging within those corrections that may impact public trust. The team will comprise computer scientists, journalists, mass communications experts, psychologists, and political scientists.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Right now, fact checkers look at trending articles, do a deep dive, and spend hours to determine whether or not it is misinformation,\u0026rdquo; said School of Computational Science and Engineering Assistant Professor\u0026nbsp;\u003Cstrong\u003ESrijan\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003EKumar\u003C\/strong\u003E, a co-principal investigator on the project. \u0026ldquo;Within this are a number of biases: popularity biases in that only popular articles are examined, fact checking is slow, and it is language and region restricted. That\u0026rsquo;s where we want to bring a computational approach to improve the process.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Georgia Tech team, which also includes co-PI\u0026nbsp;\u003Cstrong\u003EMunmun\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003EDe\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003EChoudhury\u003C\/strong\u003E\u0026nbsp;of the School of Interactive Computing, will focus on the computational element of the project by developing machine learning and artificial intelligence-based detectors. They will create algorithms that look not just at a piece of information, but also patterns like who is sharing, how it spreads through the network, and other attributes that can be fused together to create more efficient detection models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We want to empower fact checkers to be able to do their jobs more efficiently,\u0026rdquo; De Choudhury said. \u0026ldquo;How can they detect misinformation, provide corrections, and do so in a way that encourages public trust? That involves people of many different fields as you navigate complex ecosystems of values, ideologies, and beliefs.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project will look at misinformation in two of the most pressing areas: public health, including Covid-19 and vaccination misinformation, and election integrity. Information gleaned from this project and corresponding solutions, the researchers say, could be applied to additional areas of misinformation in the future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project is titled\u0026nbsp;\u003Cem\u003EHow Large-Scale Identification and Intervention Can Empower Professional Fact-Checkers to Improve Democracy and Public Health\u003C\/em\u003E. The project grows out of a previous grant from the NSF for Rapid Research Response (RAPID), titled\u0026nbsp;\u003Cem\u003ETackling the Psychological Impact of the COVID-19 Crisis\u003C\/em\u003E, which was also led by De Choudhury and Kumar.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA $750,000 grant from the National Science Foundation could help give human fact checkers the computational tools needed to accurately and efficiently push back against this growing swell.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"A $750,000 grant from the National Science Foundation could help give human fact checkers the computational tools needed to accurately and efficiently push back against this growing swell."}],"uid":"27592","created_gmt":"2022-01-26 15:49:56","changed_gmt":"2022-01-26 15:55:07","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-01-25T00:00:00-05:00","iso_date":"2022-01-25T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"654781":{"id":"654781","type":"image","title":"NSF project Co-PIs","body":null,"created":"1643212407","gmt_created":"2022-01-26 15:53:27","changed":"1643212407","gmt_changed":"2022-01-26 15:53:27","alt":"","file":{"fid":"248298","name":"hg image_kumar and de choudhury.png","image_path":"\/sites\/default\/files\/images\/hg%20image_kumar%20and%20de%20choudhury.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/hg%20image_kumar%20and%20de%20choudhury.png","mime":"image\/png","size":684793,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/hg%20image_kumar%20and%20de%20choudhury.png?itok=oJqXKnGr"}}},"media_ids":["654781"],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003Cbr \/\u003E\r\nCommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"654268":{"#nid":"654268","#data":{"type":"news","title":"Modeling Water-cleansing Wetlands in Extreme Weather","body":[{"value":"\u003Cp\u003EThe cycle of rising temperatures leads to increases in precipitation as well as droughts. \u0026nbsp;But what impact will these weather extremes, especially heavier precipitation, have on the earth\u0026rsquo;s most effective water cleansers \u0026ndash; wetland sediments? \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThat question is driving a new $1 million, three-year grant awarded to a Georgia Institute of Technology interdisciplinary research team of geochemistry, biology and applied mechanics experts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe award is part of the Department of Energy\u0026rsquo;s \u003Ca href=\u0022https:\/\/www.energy.gov\/science\/articles\/department-energy-announces-77-million-earth-environmental-systems-modeling\u0022\u003E$7.7 million funding \u003C\/a\u003Eof 11 studies to improve the understanding of Earth system predictability and the Department\u0026rsquo;s Energy Exascale Earth System Model, a state-of the-science climate model. The researchers intend to develop a new scalable model that can analyze and ultimately predict where and when sediment disruptions are most likely to occur.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWetlands \u0026ndash; Where Water and Land Meet\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFound at the boundary between land and water, wetlands function as natural sponges that trap, cleanse, and slowly release surface water \u0026ndash; they also serve as a natural climate change buffer, since they act as carbon \u0026ldquo;sinks,\u0026rdquo; storing vast amounts of carbon and methane in the ground. Swamps, marshes, and bogs are all examples of wetlands. What isn\u0026rsquo;t known is if wetlands that become damaged or degraded from excess water will still absorb carbon at the same level. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy better understanding how wetlands work, Georgia Tech hopes to shed light on how wetlands will function with more frequent and more intense rainstorms. \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A lot of work has been done in polar regions where there has been melting because of global warming, which has been shown to release a lot of methane. That\u0026rsquo;s the main motivation behind the work we\u0026rsquo;re going to do,\u0026rdquo; said the project\u0026rsquo;s principal investigator, Martial Taillefert, a geochemist and professor in the \u003Ca href=\u0022https:\/\/eas.gatech.edu\/\u0022\u003ESchool of Earth and Atmospheric Sciences\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs water levels rise, below ground oxygen is consumed very quickly, he explained. Then microbial processes take over, leading to methane forming as well as carbon dioxide, that can escape to the atmosphere.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this project Taillefert will characterize the physical and chemical processes taking place in a wetland, mainly using electrochemical sensors deployed at different locations in the wetland. Taillefert will be able to follow the chemical response to microbial processes and study how perturbations of the water cycle affect the release of greenhouse gases. This data will then be used to fine tune the models that will predict greenhouse gas emissions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMicro to Macro Scale\u003C\/strong\u003E\u003Cbr \/\u003E\r\nInitial studies will involve samples on the scale of a few grains of soil, but the researchers hope to eventually run simulations on the scale of a riverbed or watershed (where surface water drains into a common stream channel or other body of water).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The goal is twofold \u0026ndash; first, to satisfy our scientific curiosity and understand how those microbial processes can actually change the level of oxygen and trigger greenhouse gas emissions, and second, to develop a model that can predict what processes will be in the next cycle to better prepare and perhaps reduce carbon emissions in some cases,\u0026rdquo; said project collaborator Chlo\u0026eacute; Arson, associate professor of \u003Ca href=\u0022https:\/\/ce.gatech.edu\/academics\/groups\/geosystems\u0022\u003EGeosystems Engineering\u003C\/a\u003E in the \u003Ca href=\u0022https:\/\/ce.gatech.edu\/\u0022\u003ESchool of Civil and Environmental Engineering\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile Taillefert focuses on the chemistry component and Arson on the mathematical modeling, collaborator Thomas DiChristina serves as the microbe expert.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;My lab looks at what kind of hidden microbial processes are going on that we can\u0026#39;t detect with the sensors because the methane is getting recycled so fast in the ground,\u0026rdquo; said DiChristina, professor in the \u003Ca href=\u0022https:\/\/biosciences.gatech.edu\/\u0022\u003ESchool of Biological Sciences\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDiChristina will be looking at multiple gene expressions without having to grow the bacteria in a laboratory.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Genomics allows you to deduce expression of metabolic potential. For example, which gene is producing methane, and which gene is inhibiting methane production,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESince methane won\u0026rsquo;t release into the atmosphere unless a certain condition occurs, the model will enable researchers to predict under what conditions methane would pour out of the sediments versus being retained and recycled, DiChristina explained.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe calculations that predict how much methane and carbon dioxide go into the atmosphere depend on an accurate description of what\u0026#39;s happening in the subsurface -- in the sediment and in groundwater, Taillefert added.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We cannot yet quantify that really well. We think using our approach will enable us to get more data and a better understanding of how the process works and translate that knowledge into the models,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETaillefert and DiChristina have been working on improving Georgia Tech\u0026rsquo;s models for predicting these processes for over three decades. \u0026nbsp;With this latest award, they hope to better understand and model the processes of oxidation and reduction that change the microstructure of sediments during cycles of flood.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENew Research Thrust \u0026ndash; AI and Machine Learning \u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EArson is most interested in predicting the changes in the size, shape, and arrangement of the grains of soil to understand how the porous space between the grains is affected by bio-chemical reactions.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Understanding the evolution of the porous space will help predict transport properties within the sediments, and the expected emissions of greenhouse gases,\u0026rdquo; said Arson.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn expert in applied mechanics, she will use AI to build a model that can single out dominant reactions within the soil microstructure and disregard those that have minimal impact. Such insight will help simplify the model and allow it to more quickly correlate certain criteria that leads to spikes in greenhouse gases.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If you have a predictive model that actually attempts to explain the processes, as well as predicting them, then you have a more versatile approach that can be transferred to many other sites or environments,\u0026rdquo; she said. \u0026ldquo;I also could envision using this model and the machine learning algorithm to map locations where you expect higher emissions, and identify sites as risky, moderately risky or safe.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech is partnering with two Department of Energy (DOE) national laboratories: \u003Ca href=\u0022https:\/\/srnl.doe.gov\/\u0022\u003ESavannah River National Laboratory\u003C\/a\u003E (SRNL) in Aiken, SC, and \u003Ca href=\u0022https:\/\/www.anl.gov\/\u0022\u003EArgonne National Laboratory\u003C\/a\u003E in Chicago, IL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech has a unique capability here that we don\u0026#39;t have, and that capability is this combination of using state-of-the-art genomics capabilities, along with state-of-the-art electrochemistry, two attributes that Georgia Tech is internationally known for,\u0026rdquo; said Daniel Kaplan, senior research fellow with SRNL, which will serve as the study site.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKaplan noted that Georgia Tech\u0026rsquo;s research fits perfectly with the DOE\u0026rsquo;s goal to better understand how wetlands function, enabling scientists to better understand their role in controlling water quality.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Wetlands do a great job of cleaning out all the impurities and getting rid of a lot of the contaminants to clean the water up as it moves through a watershed,\u0026rdquo; said Kaplan.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAtomic-scale Analysis \u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EArgonne National Laboratory plans to take Georgia Tech\u0026rsquo;s sediment samples and examine them at the atomic scale of individual atoms and electrons using the Advanced Photon Source (APS), a football-field-sized synchrotron that produces x-rays 10 billion times clearer than what is produced at a doctor\u0026rsquo;s office.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The fundamental reactions that are controlling the quality of the water happen at the microorganism or nano scale,\u0026rdquo; said Kenneth Kemner, senior physicist and group leader of the Molecular Environmental Science Group at the Argonne National Lab. \u0026ldquo;By bringing all the different ways of looking at wetlands together, we\u0026#39;ll actually have a much deeper understanding of how they function.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom one of several x-ray ports operated 24x7, the APS can capture images of single microorganisms about 100 times smaller than the diameter of the human hair. In fact, when the APS first came online, it successfully analyzed hair strands of Ludwig van Beethoven, with the analysis deducing that the great German composer suffered from lead poisoning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKemner acknowledged that Georgia Tech brings unique capabilities to the wetlands research effort. He explained that answering the hard questions such as those posed by climate change will require this transdisciplinary and integrated problem-solving approach.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EAdditional unfunded collaborators for this study include\u0026nbsp;Christa Pennacchio, PMO Lead with the Joint Genome Institute (JGI) at the Lawrence Berkeley National Laboratory (JGI), and Stephen Callister, scientist with the Environmental Molecular Sciences Laboratory (EMSL), a U.S. DOE national scientific user facility managed by Pacific Northwest National Laboratory.\u003C\/em\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"Part of a $1 million grant, Georgia Tech will analyze wetlands to better predict disruptions that could intensify greenhouse gas releases"}],"field_summary":[{"value":"\u003Cp\u003EUsing AI and data modeling, Georgia Tech\u0026nbsp;is researching\u0026nbsp;how wetlands work and hoping to shed light on how they\u0026nbsp;will function with more frequent and more intense rainstorms. \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech is partnering with two Department of Energy (DOE) national laboratories to better understand how wetlands function, enabling scientists to better understand their role in controlling water quality."}],"uid":"27592","created_gmt":"2022-01-11 15:15:36","changed_gmt":"2022-01-11 15:26:24","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-11-03T00:00:00-04:00","iso_date":"2021-11-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"652394":{"id":"652394","type":"image","title":"Researchers by campus wetlands","body":null,"created":"1635941730","gmt_created":"2021-11-03 12:15:30","changed":"1635941730","gmt_changed":"2021-11-03 12:15:30","alt":"","file":{"fid":"247516","name":"Photo 1 - Researchers.png","image_path":"\/sites\/default\/files\/images\/Photo%201%20-%20Researchers.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Photo%201%20-%20Researchers.png","mime":"image\/png","size":4554806,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Photo%201%20-%20Researchers.png?itok=Wd4c93Yj"}},"652395":{"id":"652395","type":"image","title":"SRNL environments","body":null,"created":"1635941852","gmt_created":"2021-11-03 12:17:32","changed":"1635941852","gmt_changed":"2021-11-03 12:17:32","alt":"","file":{"fid":"247517","name":"Photo 2 - wetlands in the Savannah River Nat\u0027l Laboratory.jpg","image_path":"\/sites\/default\/files\/images\/Photo%202%20-%20wetlands%20in%20the%20Savannah%20River%20Nat%27l%20Laboratory.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Photo%202%20-%20wetlands%20in%20the%20Savannah%20River%20Nat%27l%20Laboratory.jpg","mime":"image\/jpeg","size":342955,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Photo%202%20-%20wetlands%20in%20the%20Savannah%20River%20Nat%27l%20Laboratory.jpg?itok=KPdt6U0d"}},"652398":{"id":"652398","type":"image","title":"Sediment sample","body":null,"created":"1635947683","gmt_created":"2021-11-03 13:54:43","changed":"1635947683","gmt_changed":"2021-11-03 13:54:43","alt":"","file":{"fid":"247518","name":"Photo 3 - Martial with sediment sample.jpg","image_path":"\/sites\/default\/files\/images\/Photo%203%20-%20Martial%20with%20sediment%20sample.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Photo%203%20-%20Martial%20with%20sediment%20sample.jpg","mime":"image\/jpeg","size":1442214,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Photo%203%20-%20Martial%20with%20sediment%20sample.jpg?itok=88VM4fLQ"}}},"media_ids":["652394","652395","652398"],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[{"id":"154","name":"Environment"}],"keywords":[{"id":"179077","name":"wetlands"},{"id":"831","name":"climate change"},{"id":"105821","name":"extreme weather"},{"id":"189257","name":"climate model"},{"id":"189258","name":"sediments"},{"id":"187915","name":"go-researchnews"},{"id":"166882","name":"School of Biological Sciences"}],"core_research_areas":[],"news_room_topics":[{"id":"71911","name":"Earth and Environment"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EMedia Relations Contact and Writer: \u003C\/strong\u003EAnne Wainscott-Sargent (404-435-5784)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["asargent7@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"651571":{"#nid":"651571","#data":{"type":"news","title":"Pandarinath Wins NIH New Innovator Award for AI-Powered Brain-Machine Interfaces","body":[{"value":"\u003Cp\u003EThe seemingly simple act of reaching for a cup isn\u0026rsquo;t really simple at all. In truth, our brains issue hundreds, maybe thousands of instructions to make that happen: positioning your body just right, maybe leaning forward a bit, actually lifting your arm and reaching out, grasping the cup with your fingers, and a whole host of tiny movements and adjustments along the way.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EScientists can record all of the neural activity related to the movement, but it\u0026rsquo;s complicated and messy. \u0026ldquo;Seemingly random and noisy,\u0026rdquo; is the way \u003Ca href=\u0022\/bme\/faculty\/Chethan-Pandarinath\u0022\u003EChethan Pandarinath\u003C\/a\u003E describes it. So how do you pick out the signal from the noise, to identify the activity that controls all those movements and says to the body, \u0026ldquo;pick up the cup\u0026rdquo;?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPandarinath thinks he has a way, using new artificial intelligence tools and our growing understanding of neuroscience at a system-wide level. It\u0026rsquo;s an approach \u003Ca href=\u0022http:\/\/snel.gatech.edu\/\u0022\u003Ehe\u0026rsquo;s been building toward for years\u003C\/a\u003E, and he\u0026rsquo;s after a goal that could be nothing short of revolutionary: creating brain-machine interfaces that can decode in just milliseconds, and with unprecedented accuracy, what the brain is telling the body to do. The hope is to reconnect the brain and the body for patients who are paralyzed from strokes, spinal cord injuries, or ALS \u0026mdash; amyotrophic lateral sclerosis, or Lou Gehrig\u0026rsquo;s disease.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe National Institutes of Health has recognized the exceptional creativity of Pandarinath\u0026rsquo;s approach \u0026mdash; and its transformative potential \u0026mdash; with a \u003Ca href=\u0022https:\/\/reporter.nih.gov\/project-details\/10246037\u0022\u003E2021 Director\u0026rsquo;s New Innovator Award\u003C\/a\u003E, the agency\u0026rsquo;s most prestigious program for early career researchers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;What NIH is looking for in this mechanism is ideas that they think are transformative \u0026mdash; it\u0026#39;s a little bit hard to predict how it will go, but the idea has the potential to really change an entire field,\u0026rdquo; said Pandarinath, assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Emory University and Georgia Tech. \u0026ldquo;It\u0026rsquo;s wonderful recognition that they think my proposal is significant enough,\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPart of the NIH\u0026rsquo;s \u003Ca href=\u0022https:\/\/commonfund.nih.gov\/newinnovator\u0022\u003EHigh-Risk, High-Reward Research program\u003C\/a\u003E, Pandarinath\u0026rsquo;s $2.4 million grant will support his team\u0026rsquo;s launch of a clinical trial this fall, implanting sensors into the brains of ALS patients. He\u0026rsquo;ll work closely with Emory neurosurgeons \u003Ca href=\u0022https:\/\/www.med.emory.edu\/directory\/profile\/?u=NAUYONG\u0022\u003ENicholas Au Yong\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/www.med.emory.edu\/directory\/profile\/?u=RGROSS\u0022\u003ERobert Gross\u003C\/a\u003E and neurologist \u003Ca href=\u0022https:\/\/www.med.emory.edu\/directory\/profile\/?u=JGLAS03\u0022\u003EJonathan Glass\u003C\/a\u003E, who\u0026rsquo;s also director of the \u003Ca href=\u0022https:\/\/med.emory.edu\/departments\/neurology\/programs_centers\/emory_als_center\/index.html\u0022\u003EEmory ALS Center\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;To move this toward a clinical trial, that really is a collaboration between BME and Neurosurgery and Neurology. That\u0026#39;s pretty exciting. That\u0026#39;s the only way we can make clinical impact,\u0026rdquo; said Pandarinath, who also is a faculty member in the Emory Neuromodulation Technology Innovation Center, or ENTICe.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It is exciting to see this project coming together as a result of the ingenuity and efforts of this extraordinarily talented team of engineers and clinician-scientists,\u0026rdquo; said Gross, the MBNA Bowman Chair in Neurosurgery and founder and director of ENTICe. \u0026ldquo;It moves us closer toward our goal, in partnership with Georgia Tech, to improve the lives of patients disabled by ALS and other severe neurological disorders with groundbreaking innovations and discovery.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EDecoding the Brain in Real Time\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EIdeally, the AI-powered brain-machine interfaces Pandarinath proposes would work almost \u0026ldquo;out of the box\u0026rdquo; for any patient, without significant calibration. It\u0026rsquo;s a lofty target, considering the challenges. The interface has to:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EIdentify the electrical activity that corresponds with specific movements, and do it in real time (patients can\u0026rsquo;t be repeatedly thinking about a movement for a full minute to try to activate the interface).\u003C\/li\u003E\r\n\t\u003Cli\u003EAccount for the day-to-day changes in data we record within one person\u0026rsquo;s brain.\u003C\/li\u003E\r\n\t\u003Cli\u003EWork despite the slight differences between brains.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ESo, how will Pandarinath\u0026rsquo;s team tackle the seeming mountain of challenges ahead of them? It hinges on a concept in machine learning called \u0026ldquo;unsupervised\u0026rdquo; or \u0026ldquo;self-supervised\u0026rdquo; learning. Rather than starting with a movement and trying to map it to specific brain activity, Pandarinath\u0026rsquo;s algorithms start with the brain data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We don\u0026#39;t worry about what the person was trying to do. If we just focus on that, we\u0026#39;re going to miss a lot of the structure of the activity. If we can just understand the data better first, without biasing it by what we think the pattern meant, it ends up leading to better what we call \u0026lsquo;decoding,\u0026rsquo;\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese artificial intelligence tools have been reshaping other fields \u0026mdash; for example, computer vision for autonomous vehicles, where AI has to understand the surrounding environment, or teaching computers to play chess or complicated video games. Pandarinath has been working to apply unsupervised learning techniques to neuroscience and uncover what the brain is doing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;That\u0026#39;s not something that other people have done before \u0026mdash; at least not like what we\u0026#39;re doing. That\u0026#39;s kind of our secret sauce,\u0026rdquo; he said. \u0026ldquo;We know these tools are changing the game in so many other AI applications. We\u0026#39;re showing how they can apply in brain-machine interfaces and impact people\u0026#39;s health.\u0026rdquo;The key is a pair of discoveries that suggested there are identifiable brain patterns related to movement. First, other researchers demonstrated that brain activity related to movement in monkeys is consistent across individuals. Then Pandarinath showed the patterns are likewise similar in humans, even in people who are paralyzed. He said these fundamental signatures seem to apply across different types of movement, too.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We\u0026#39;re saying, there are some things that are consistent across brains \u0026mdash; we\u0026#39;re even seeing it across species,\u0026rdquo; he said. \u0026ldquo;That\u0026rsquo;s why we think this technology can really have broad application, because we\u0026#39;re able to tap into the this underlying consistency.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team will start with trying to restore patients\u0026rsquo; ability to communicate, Pandarinath said, like interacting with a computer: \u0026ldquo;Computers are such a huge part of our everyday lives now that if you\u0026#39;re paralyzed and can\u0026#39;t surf the web, or type emails, that\u0026#39;s a pretty big deal. You\u0026#39;ve lost a lot of what we do.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhen the team moves into clinical trials, Pandarinath\u0026rsquo;s AI tools will be paired with existing implantable brain sensors to test how well they work for patients. The implants themselves are the kind of devices already used for deep brain stimulation for Parkinson\u0026rsquo;s patients, for example. The technology the team is developing is independent of the sensor \u0026mdash; it\u0026rsquo;s all about making the best use of the data recorded in the brain. As better sensors come along (\u003Ca href=\u0022https:\/\/www.cnbc.com\/2021\/07\/30\/elon-musks-neuralink-backed-by-google-ventures-peter-thiel-sam-altman.html\u0022\u003Eand people like Elon Musk are working on exactly that\u003C\/a\u003E), Pandarinath said his tools will work even better.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our focus is the underlying approach, these AI algorithms and what can they do for us. The application of communication, we think, is just one way to demonstrate the technology,\u0026rdquo; Pandarinath said. \u0026ldquo;We think the same concepts can be useful if you\u0026#39;re controlling a robotic arm, reaching out and grabbing that coffee cup, or maybe driving implanted muscle stimulators to help somebody with spinal cord injury to control their own arm. The application of the technology is the same: figuring out what the brain is doing and what does the person want to do?\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EArtificial intelligence could be the key to faster, universal interfaces for paralyzed patients\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Artificial intelligence could be the key to faster, universal interfaces for paralyzed patients"}],"uid":"27592","created_gmt":"2021-10-11 14:04:29","changed_gmt":"2021-10-11 14:07:45","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-10-05T00:00:00-04:00","iso_date":"2021-10-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"651380":{"id":"651380","type":"image","title":"Chethan Pandarinath in lab","body":null,"created":"1633440341","gmt_created":"2021-10-05 13:25:41","changed":"1633440341","gmt_changed":"2021-10-05 13:25:41","alt":"Chethan Pandarinath has won a Director\u0027s New Innovator Award from the National Institutes of Health to use artificial intelligence tools to create brain-machine interfaces that function with unprecedented speed and accuracy, decoding in real-time what the brain is the telling the body to do. The aim is to reconnect the brain and body for patients paralyzed from strokes, spinal cord injuries, or ALS \u2014 amyotrophic lateral sclerosis, or Lou Gehrig\u2019s disease. (Photo: Jack Kearse)","file":{"fid":"247152","name":"Pandarinath-Chethan-Lab-at-Computer-by-Jack-Kearse-h.jpg","image_path":"\/sites\/default\/files\/images\/Pandarinath-Chethan-Lab-at-Computer-by-Jack-Kearse-h.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Pandarinath-Chethan-Lab-at-Computer-by-Jack-Kearse-h.jpg","mime":"image\/jpeg","size":372353,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Pandarinath-Chethan-Lab-at-Computer-by-Jack-Kearse-h.jpg?itok=q8uraieA"}},"651381":{"id":"651381","type":"image","title":"Robert Gross, Chethan Pandarinath, Jonathan Glass \u0026 Nicholas Au Yong","body":null,"created":"1633440496","gmt_created":"2021-10-05 13:28:16","changed":"1633440496","gmt_changed":"2021-10-05 13:28:16","alt":"This group of clinicians and scientists will collaborate with Chethan Pandarinath, front right, on a $2.4 million, five-year project using artificial intelligence tools to revolutionize the speed and accuracy of brain-machine interfaces. The team includes Robert Gross, front left, a functional neurosurgeon; Jonathan Glass, back left, a neurologist and director of Emory\u0027s ALS Center; and Nicholas Au Yong, also a functional neurosurgeon. (Photo: Jack Kearse)","file":{"fid":"247153","name":"Gross,Robert-Glass,Jonathan-Pandarinath,Chethan-AuYong,Nicholas-by-Jack-Kearse-v.jpg","image_path":"\/sites\/default\/files\/images\/Gross%2CRobert-Glass%2CJonathan-Pandarinath%2CChethan-AuYong%2CNicholas-by-Jack-Kearse-v.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Gross%2CRobert-Glass%2CJonathan-Pandarinath%2CChethan-AuYong%2CNicholas-by-Jack-Kearse-v.jpg","mime":"image\/jpeg","size":356595,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Gross%2CRobert-Glass%2CJonathan-Pandarinath%2CChethan-AuYong%2CNicholas-by-Jack-Kearse-v.jpg?itok=gPoPDWkO"}}},"media_ids":["651380","651381"],"related_links":[{"url":"https:\/\/reporter.nih.gov\/project-details\/10246037","title":"Project Details: Fusing motor neuroscience and artificial intelligence to create  next-generation neural prostheses"},{"url":"https:\/\/commonfund.nih.gov\/newinnovator","title":"NIH Director\u0027s New Innovator Award"},{"url":"https:\/\/snel.gatech.edu\/","title":"Pandarinath\u0027s Systems Neural Engineering Lab"},{"url":"https:\/\/med.emory.edu\/departments\/neurology\/programs_centers\/emory_als_center\/index.html","title":"Emory ALS Center"},{"url":"https:\/\/www.emoryhealthcare.org\/centers-programs\/brain-health-center\/index.html","title":"Emory Brain Health Center"}],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[{"id":"2556","name":"artificial intelligence"},{"id":"176083","name":"brain machine interfaces"},{"id":"5443","name":"Neuroengineering"},{"id":"188989","name":"Chethan Pandarinath"},{"id":"2270","name":"National Institutes of Health"},{"id":"10833","name":"NIH Director\u0027s New Innovator Award"},{"id":"170979","name":"spinal cord injuries"},{"id":"170899","name":"spinal cord injury"},{"id":"121361","name":"amyotrophic lateral sclerosis"},{"id":"187423","name":"go-bio"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jstewart@gatech.edu\u0022\u003EJoshua Stewart\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWallace H. Coulter Department of Biomedical Engineering\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jstewart@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"649636":{"#nid":"649636","#data":{"type":"news","title":"Associate Professor Elected SIGCHI President","body":[{"value":"\u003Cp\u003ESchool of Interactive Computing joint Associate Professor \u003Cstrong\u003ENeha Kumar\u003C\/strong\u003E was elected president of the \u003Ca href=\u0022https:\/\/sigchi.org\/\u0022\u003ESpecial Interest Group on Computer-Human Interaction\u003C\/a\u003E (SIGCHI) for 2021-22. She will serve a three-year term for the group, which is the premier international society for professionals and academics interested in human-computer interaction.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESIGCHI sponsors numerous conferences, publications, web sites, and other services that advance HCI through workshops and outreach. \u003Ca href=\u0022https:\/\/medium.com\/sigchi\/thank-you-sigchi-dae601d883bb\u0022\u003EIn a blog post for SIGCHI\u003C\/a\u003E, Kumar said that she and the other incoming executive committee members aim to continue the long history of advancing the group\u0026rsquo;s key missions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We hope to continue to expand the excellent work that our many colleagues in this (executive committee) have done, with their commitment (among other things) to accessibility, equity and inclusion, to the safety of our community, global community building, and a #SIGCHI4ALL,\u0026rdquo; she wrote. \u0026ldquo;Together the six of us represent a wide range of perspectives; our hope is that this representation with ensure that we remain answerable to our entire global membership as we work towards supporting and fostering participation and growth locally and globally.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar\u0026rsquo;s research at Georgia Tech lies at the intersection of human-centered computing and global development. She has produced research that improves technology design for historically underserved communities. Her \u003Ca href=\u0022http:\/\/www.tandem.gatech.edu\/\u0022\u003ETanDEm Lab\u003C\/a\u003E \u0026ndash; short for Technology and Design towards \u0026lsquo;Empowerment\u0026rsquo; \u0026ndash; has focused on health and wellbeing on the margins, centering topics such as gender, stigma, and knowledge production.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKumar has received other honors, such as the National Science Foundation\u0026rsquo;s CAREER Award, and also chairs the \u003Ca href=\u0022https:\/\/www.acm.org\/fca#:~:text=The%20ACM%20Future%20of%20Computing,next%20generation%20of%20computing%20professionals.\u0026amp;text=The%20ACM%20FCA%20aspires%20to,of%20computing%20into%20the%20future.\u0022\u003EAssociation of Computing Machinery\u0026rsquo;s Future of Computing Academy\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech Ph.D. graduate \u003Cstrong\u003ETamara Clegg\u003C\/strong\u003E is also on the SIGCHI executive committee, serving as the vice president of membership and communication.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Neha Kumar will serve a three-year term for the group, which is the premier international society for professionals and academics interested in human-computer interaction."}],"uid":"33939","created_gmt":"2021-08-12 16:50:31","changed_gmt":"2021-08-12 16:50:31","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-08-12T00:00:00-04:00","iso_date":"2021-08-12T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"507851":{"id":"507851","type":"image","title":"Neha Kumar","body":null,"created":"1457114400","gmt_created":"2016-03-04 18:00:00","changed":"1475895270","gmt_changed":"2016-10-08 02:54:30","alt":"Neha Kumar","file":{"fid":"204902","name":"neha.jpeg","image_path":"\/sites\/default\/files\/images\/neha_0.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/neha_0.jpeg","mime":"image\/jpeg","size":52721,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/neha_0.jpeg?itok=ay7TDLWk"}}},"media_ids":["507851"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"649635":{"#nid":"649635","#data":{"type":"news","title":"Assistant Professor Named 2021 Microsoft Research Faculty Fellow","body":[{"value":"\u003Cp\u003ESchool of Interactive Computing Assistant Professor \u003Cstrong\u003EDiyi Yang\u003C\/strong\u003E was named one of five \u003Ca href=\u0022https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/faculty-fellowship\/#!fellows\u0022\u003E2021 Microsoft Research Faculty Fellows\u003C\/a\u003E earlier this summer. The two-year fellowship recognizes innovative and promising early-career professors in the Americas who are exploring breakthrough research in computer science or a related field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYang was recognized for her work leading the \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~dyang888\/group.html\u0022\u003ESocial and Language Technologies Lab\u003C\/a\u003E, concentrating on research across fields of natural language processing, machine learning, and computational social science. Yang\u0026rsquo;s research works to understand social aspects of language and build responsible NLP systems with social intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We live in an era where many aspects of our daily activities are recorded as textual data,\u0026rdquo; Yang said in her proposal to Microsoft Research. \u0026ldquo;Over the last few decades, NLP has dramatically improved performance and produced industrial applications like personal assistants. Despite being sufficient to enable these applications, current NLP systems largely ignore the social part of language.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis ignorance limits the functionality of the programs, Yang said. This research examines what is said, who says it, in what context and for what goals in hopes of developing systems to facilitate human-human and human-machine communication. So far, her team has produced projects on mitigating bias in text, detecting mental health issues, improving support in online support groups, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Microsoft Research\u0026rsquo;s website, Yang is the first Georgia Tech faculty member to be named a Microsoft Research Faculty Fellow since 2011 and only the third overall. Yang has earned a number of other awards and recognitions, such as Forbes 30 Under 30 in Science and IEEE AI 10 to Watch.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The two-year fellowship recognizes innovative and promising early-career professors in the Americas who are exploring breakthrough research in computer science or a related field."}],"uid":"33939","created_gmt":"2021-08-12 16:44:15","changed_gmt":"2021-08-12 16:44:15","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-08-12T00:00:00-04:00","iso_date":"2021-08-12T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"630588":{"id":"630588","type":"image","title":"Diyi Yang 2020","body":null,"created":"1578338255","gmt_created":"2020-01-06 19:17:35","changed":"1578338255","gmt_changed":"2020-01-06 19:17:35","alt":"","file":{"fid":"240080","name":"Diyi_Yang.jpg","image_path":"\/sites\/default\/files\/images\/Diyi_Yang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Diyi_Yang.jpg","mime":"image\/jpeg","size":194720,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Diyi_Yang.jpg?itok=T-Kv1Jqp"}}},"media_ids":["630588"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"649137":{"#nid":"649137","#data":{"type":"news","title":"Georgia Tech Will Help Bring Critical Advancements to Online Learning as Part of Multimillion Dollar NSF Grant","body":[{"value":"\u003Cp\u003EGeorgia Tech is a major partner in a new \u003Ca href=\u0022https:\/\/www.nsf.gov\/\u0022\u003ENational Science Foundation\u003C\/a\u003E (NSF) \u003Ca href=\u0022https:\/\/www.nsf.gov\/funding\/pgm_summ.jsp?pims_id=505686\u0022\u003EArtificial Intelligence Research Institute\u003C\/a\u003E focused on adult learning in online education, it was announced today. Led by the Georgia Research Alliance, the National AI Institute for Adult Learning in Online Education (ALOE) is one of 11 new NSF institutes created as part of an investment totaling $220 million.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ALOE Institute will develop new AI theories and techniques for enhancing the quality of online education for lifelong learning and workforce development. According to some projections, about 100 million American workers will need to be reskilled or upskilled over the next decade. With the increase of AI and automation, said Co-Principal Investigator and Georgia Tech lead Professor \u003Cstrong\u003EAshok Goel\u003C\/strong\u003E, many jobs will be redefined.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There will be some loss of jobs, but mostly we will see individuals needing to learn a new skill to get a new job or to advance their career,\u0026rdquo; said Goel, a professor of computer science and human-centered computing in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E (IC) and the chief scientist with the \u003Ca href=\u0022https:\/\/c21u.gatech.edu\/\u0022\u003ECenter for 21\u003Csup\u003Est\u003C\/sup\u003E Century Universities\u003C\/a\u003E (C21U). \u0026ldquo;So, how do you help 100 million workers reskill or upskill in 10 years? Because AI is in part responsible for this need, it is our belief it should also be responsible for finding a solution.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThat is the goal of this project, which will be led by principal investigator \u003Cstrong\u003EMyk Garn\u003C\/strong\u003E, assistant vice chancellor for New Models of Learning at the University System of Georgia and senior advisor to the \u003Ca href=\u0022https:\/\/gra.org\/\u0022\u003EGeorgia Research Alliance\u003C\/a\u003E (GRA).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Online education for adults has enormous implications for tomorrow\u0026rsquo;s workforce,\u0026rdquo; Garn said. \u0026ldquo;Yet, serious questions remain about the quality of online learning and how best to teach adults online. Artificial intelligence offers a powerful technology for dramatically improving the quality of online learning and adult education.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo do that successfully, the education must be personalized and scaled to unprecedented levels. Educating 100 million people in online environments will, of course, require far more time and energy than in-person educators can offer their students. That is where AI comes into play.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers will build new AI techniques that can adequately and efficiently train \u003Cem\u003Eother\u003C\/em\u003E AI agents to interact with humans in a classroom setting, similar to the virtual teaching assistant Jill Watson that Goel has used in his online computer science classes for the past five years. This will help satisfy the scalability requirement.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;That\u0026rsquo;s the fundamental advancement in AI,\u0026rdquo; Goel said. \u0026ldquo;A human can train an AI agent in just a few hours how to teach other AI agents on how to interact with humans on various subjects.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo satisfy the need for personalized AI, researchers will train machines to have a mutual theory of mind with their human counterparts. In other words, there will be a greater understanding by both machine and human of the others\u0026rsquo; needs, knowledge, and expectations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our vision is to develop AI agents that achieve a mutual understanding of learning expectations, outcomes, and methods between students and teachers,\u0026rdquo; said Alex Endert, an assistant professor in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/cc.gatech.edu\u0022\u003ECollege of Computing\u003C\/a\u003E who will help the team analyze and understand data from the project. \u0026ldquo;Along with my students, I look forward to developing visual analytic interfaces that serve that purpose to foster trust and interpretability of AI for this domain.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUltimately, the hope is that education becomes more available, affordable, achievable, and, thereby, equitable. Such an expansive project, understandably, requires the expertise of many kinds from many people. In addition to Endert and Goel, who will be executive director of the ALOE Institute, there will be a host of faculty at Georgia Tech will participate.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESenior Georgia Tech members of the ALOE team include \u003Cstrong\u003EStephen Harmon\u003C\/strong\u003E (Industrial Design and C21U), \u003Cstrong\u003EMichael Hoffmann\u003C\/strong\u003E (Public Policy), \u003Cstrong\u003EDavid Joyner\u003C\/strong\u003E (Online Master of Science in Computer Science), \u003Cstrong\u003ERuth Kanfer\u003C\/strong\u003E (Psychology), \u003Cstrong\u003EBrian Magerko\u003C\/strong\u003E (Language, Media, and Culture), \u003Cstrong\u003EKeith McGreggor\u003C\/strong\u003E (IC and VentureLab), \u003Cstrong\u003EChaohua Ou\u003C\/strong\u003E (Center for Teaching and Learning), and \u003Cstrong\u003ESpencer Rugaber\u003C\/strong\u003E (Computer Science).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOther partners in the ALOE Institute include Arizona State University, Drexel University, Georgia State University, Harvard University, the Technical College System of Georgia, the University of North Carolina at Greensboro, IMS Global, Boeing, IBM, and Wiley.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/research.gatech.edu\/georgia-tech-joins-us-national-science-foundation-advance-ai-research-and-education\u0022\u003EGeorgia Tech is a key partner in two additional institutes\u003C\/a\u003E in partnership with the U.S. Department of Agriculture, the National Institute of Food and Agricultures, the U.S. Department of Homeland Security Science \u0026amp; Technology Directorate, and the U.S. Department of Transportation Federal Highway Administration. Georgia Tech will lead the AI Institute for Advances in Optimization (AI4Opt) and the AI Institute for Collaborative Assistance and Responsiveness Interaction for Networked Groups (AI-CARING), the latter of which is led by College of Computing Associate Professor Sonia Chernova to support aging-related issues.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Led by the Georgia Research Alliance, the National AI Institute for Adult Learning in Online Education (ALOE) is one of 11 new NSF institutes created as part of an investment totaling $220 million."}],"uid":"33939","created_gmt":"2021-07-29 15:28:18","changed_gmt":"2021-07-29 15:28:18","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-07-29T00:00:00-04:00","iso_date":"2021-07-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"611004":{"id":"611004","type":"image","title":"Online learning stock","body":null,"created":"1536259875","gmt_created":"2018-09-06 18:51:15","changed":"1536259875","gmt_changed":"2018-09-06 18:51:15","alt":"Fingers typing on a laptop keyboard","file":{"fid":"232624","name":"online learning.jpg","image_path":"\/sites\/default\/files\/images\/online%20learning.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/online%20learning.jpg","mime":"image\/jpeg","size":68702,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/online%20learning.jpg?itok=CYZYPb3r"}}},"media_ids":["611004"],"related_links":[{"url":"https:\/\/research.gatech.edu\/georgia-tech-joins-us-national-science-foundation-advance-ai-research-and-education","title":"Georgia Tech Joins the U.S. National Science Foundation to Advance AI Research and Education"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"648905":{"#nid":"648905","#data":{"type":"news","title":"Georgia Tech Top Contributor to Research at International Conference on Machine Learning","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers in the College of Engineering and College of Computing are presenting their work at the International Conference on Machine Learning (IMCL), which runs through Saturday.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EICML is the leading international academic conference in machine learning. Along with NeurIPS and ICLR, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research. It is supported by the International Machine Learning Society (IMLS).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExplore Georgia Tech people, research abstracts, and when authors will present (Tues-Thurs) in an interactive data graphic of \u003Ca href=\u0022https:\/\/public.tableau.com\/views\/GeorgiaTechatICML2021\/Dashboard1?:language=en-US\u0026amp;:display_count=n\u0026amp;:origin=viz_share_link\u0022\u003E\u003Cstrong\u003EGeorgia Tech at IMCL 2021\u003C\/strong\u003E\u003C\/a\u003E. Also explore the whole program in a second data graphic: \u003Ca href=\u0022https:\/\/public.tableau.com\/views\/ICML2021\/Dashboard12?:showVizHome=no\u0022\u003E\u003Cstrong\u003EWho\u0026rsquo;s Who at ICML 2021\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s work is represented in 2% of the program with 22 papers in a range of topics including (asterisk denotes a single paper):\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EApplications (CV and NLP)*\u003C\/li\u003E\r\n\t\u003Cli\u003EApplications (NLP)*\u003C\/li\u003E\r\n\t\u003Cli\u003EDeep Learning Algorithms*\u003C\/li\u003E\r\n\t\u003Cli\u003EDeep Learning Theory *\u003C\/li\u003E\r\n\t\u003Cli\u003EDeep Reinforcement Learning*\u003C\/li\u003E\r\n\t\u003Cli\u003ELearning Theory \u0026ndash; 2 papers\u003C\/li\u003E\r\n\t\u003Cli\u003EOptimal Transport \u0026ndash; 2 papers\u003C\/li\u003E\r\n\t\u003Cli\u003EOptimization (Convex)*\u003C\/li\u003E\r\n\t\u003Cli\u003EOptimization and Algorithms \u0026ndash; 2 papers\u003C\/li\u003E\r\n\t\u003Cli\u003EPrivacy *\u003C\/li\u003E\r\n\t\u003Cli\u003EReinforcement Learning \u0026ndash; 2 papers\u003C\/li\u003E\r\n\t\u003Cli\u003EReinforcement Learning and Optimization*\u003C\/li\u003E\r\n\t\u003Cli\u003EReinforcement Learning and Planning*\u003C\/li\u003E\r\n\t\u003Cli\u003EReinforcement Learning Theory*\u003C\/li\u003E\r\n\t\u003Cli\u003ETime Series \u0026ndash; 4 papers\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech researchers in the College of Engineering and College of Computing are presenting their work at the International Conference on Machine Learning (IMCL), which runs through Saturday."}],"uid":"33939","created_gmt":"2021-07-20 13:20:02","changed_gmt":"2021-07-21 05:00:40","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-07-20T00:00:00-04:00","iso_date":"2021-07-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"648904":{"id":"648904","type":"image","title":"ICML 2021","body":null,"created":"1626787175","gmt_created":"2021-07-20 13:19:35","changed":"1626787175","gmt_changed":"2021-07-20 13:19:35","alt":"","file":{"fid":"246336","name":"ICML2021.jpeg","image_path":"\/sites\/default\/files\/images\/ICML2021.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ICML2021.jpeg","mime":"image\/jpeg","size":164013,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ICML2021.jpeg?itok=e3cM_-yn"}}},"media_ids":["648904"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosh Preston\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston@cc.gatech.edu\u0022\u003Ejpreston@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"648864":{"#nid":"648864","#data":{"type":"news","title":"Georgia Tech Faculty Hold Workshop to Improve Integration of Ethics into Courses","body":[{"value":"\u003Cp\u003EAs computer science becomes more ingrained into various areas of study and, indeed, our daily lives, an eye on the implications of innovation is needed, experts at Georgia Tech say.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo help students begin thinking about ethics with regards to research, faculty at Georgia Tech \u0026ndash; in conjunction with Mozilla \u0026ndash; held the first workshop on integrating ethics and responsible computing into courses this summer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop was a collaboration between faculty researchers at Georgia Tech in both the Ethics, Technology, and Human Interaction Center (ETHICx) and Computing and Society, as well as Mozilla. The workshop received a strong response, which organizers say indicates a growing desire for ethics at the center of computer science courses.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMembers of the College of Computing\u0026rsquo;s Division of Computing Instruction, the Schools of Interactive Computing, Computational Science and Engineering, Computer Science, and Electrical and Computer Engineering, along with attendees from Georgia State all participated in the online workshop.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s really gratifying to have broad representation because it demonstrates the desire for people from so many different areas to think more deeply about the role of ethics in our education,\u0026rdquo; said \u003Cstrong\u003EEllen Zegura\u003C\/strong\u003E, professor in the School of Computer Science and Fleming Chair in Telecommunications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe goal of the workshop was to help instructors consider ways in which to implement ethics as a central piece in courses not just later in a student\u0026rsquo;s study, but from the very beginning. There\u0026rsquo;s an issue of urgency, Zegura said, that needed to be considered.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Computing has reached a point where it is being used for critical decision making that really affects people\u0026rsquo;s lives,\u0026rdquo; she said. \u0026ldquo;The need to use computing responsibly has moved up incredibly. And if we don\u0026rsquo;t talk about ethics early in the curriculum, we\u0026rsquo;re sending a message that it\u0026rsquo;s not important. If you only hear about it in one course and it\u0026rsquo;s later in your career, then what does that say about the importance? Students see that.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile official plans aren\u0026rsquo;t currently in place to continue the program, Zegura said the idea is to continue this as a series of activities that are responsive to what people\u0026rsquo;s needs are, specifically those who want to do a better job of embedding ethics into their computer science curriculum.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech graduate \u003Cstrong\u003EKathy Pham (CS \u0026rsquo;07, MS CS \u0026rsquo;09)\u003C\/strong\u003E, now at Mozilla, has been instrumental in engaging the computer science community from 15-20 universities on focusing on ethics, Zegura said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.youtube.com\/playlist?list=PLF0CYxpffvKx5W-y_xJ9xhrGapmeF70Og\u0022\u003EPortions of the workshop can be viewed on YouTube here.\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"To help students begin thinking about ethics with regards to research, faculty at Georgia Tech \u2013 in conjunction with Mozilla \u2013 held the first workshop on integrating ethics and responsible computing into courses this summer."}],"uid":"33939","created_gmt":"2021-07-19 13:16:20","changed_gmt":"2021-07-19 13:16:20","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-07-19T00:00:00-04:00","iso_date":"2021-07-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"644759":{"id":"644759","type":"image","title":"Ethics stock image","body":null,"created":"1614365518","gmt_created":"2021-02-26 18:51:58","changed":"1614365518","gmt_changed":"2021-02-26 18:51:58","alt":"","file":{"fid":"244800","name":"AdobeStock_117212757.jpeg","image_path":"\/sites\/default\/files\/images\/AdobeStock_117212757.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/AdobeStock_117212757.jpeg","mime":"image\/jpeg","size":725547,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/AdobeStock_117212757.jpeg?itok=3tPD5rC9"}}},"media_ids":["644759"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"647781":{"#nid":"647781","#data":{"type":"external_news","title":"Covid Seed Grant Yields Data Mining Discoveries","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-05-27 14:52:20","changed_gmt":"2021-05-27 14:52:20","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"School of Biomedical 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training","field_article_url":"","publication_url":"https:\/\/thehill.com\/opinion\/healthcare\/552856-why-we-need-to-build-a-virus-early-warning-system?rnd=1620748166\u0026rl=1","dateline":{"date":"2021-05-27T00:00:00-04:00","iso_date":"2021-05-27T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"647689":{"#nid":"647689","#data":{"type":"external_news","title":"Healthcare Business #11: AI, Machine learning and healthcare diagnosis","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-05-24 14:49:09","changed_gmt":"2021-05-24 14:52:53","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"American Society for Biochemistry and Molecular Biology ASBMB","field_article_url":"","publication_url":"https:\/\/imperialbizpodcast.podbean.com\/e\/healthcare-business-11-ai-machine-learning-and-healthcare-diagnosis\/","dateline":{"date":"2021-05-24T00:00:00-04:00","iso_date":"2021-05-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"647594":{"#nid":"647594","#data":{"type":"external_news","title":"Taming AI\u2019s Can\/Should Problem","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-05-19 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14:02:50","changed_gmt":"2021-05-10 14:03:14","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/3faFV6y","dateline":{"date":"2021-05-10T00:00:00-04:00","iso_date":"2021-05-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"},{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive 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Each year, the awards spotlight the dedication and accomplishments of the GT Computing community. We\u0026#39;re celebrating this month by announcing a different set of winners \u0026ndash; graduate students, undergraduate students, faculty, and staff \u0026ndash; each Wednesday.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"32045","created_gmt":"2021-04-01 15:38:04","changed_gmt":"2021-04-01 16:42:37","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","publication":"wireless health monitoring","field_article_url":"","publication_url":"https:\/\/bit.ly\/2021GTComputingAwards","dateline":{"date":"2021-04-01T00:00:00-04:00","iso_date":"2021-04-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"646001":{"id":"646001","type":"image","title":"30th annual college of computing awards","body":null,"created":"1617291539","gmt_created":"2021-04-01 15:38:59","changed":"1617291539","gmt_changed":"2021-04-01 15:38:59","alt":"30th annual college of computing at georgia tech awards virtual celebration","file":{"fid":"245251","name":"2021 GTComputingAwardshero.jpg","image_path":"\/sites\/default\/files\/images\/2021%20GTComputingAwardshero.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/2021%20GTComputingAwardshero.jpg","mime":"image\/jpeg","size":367090,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/2021%20GTComputingAwardshero.jpg?itok=LdmPHb-u"}}},"media_ids":["646001"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576491","name":"CRNCH"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"430601","name":"Institute for Information Security and Privacy"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"187451","name":"30th annual GT Computing Awards"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"645999":{"#nid":"645999","#data":{"type":"external_news","title":"George Lan Promoted to Professor","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-04-01 15:25:29","changed_gmt":"2021-04-01 15:25:29","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Robert Louis Stevenson","field_article_url":"","publication_url":"https:\/\/www.isye.gatech.edu\/news\/george-lan-promoted-professor","dateline":{"date":"2021-04-01T00:00:00-04:00","iso_date":"2021-04-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"626947":{"#nid":"626947","#data":{"type":"news","title":"ML@GT Announces First Ph.D. Fellowship Program","body":[{"value":"\u003Cp\u003EBeginning in January 2020, the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT)\u003C\/a\u003E will be supporting select Ph.D. students through a new \u003Ca href=\u0022http:\/\/ml.gatech.edu\/content\/ml-fellowship-program\u0022\u003EML@GT Fellows Program.\u003C\/a\u003E Created with the intent to foster novel Ph.D. research in machine learning (ML) or artificial intelligence (AI), the program expands Georgia Tech\u0026rsquo;s rapidly growing presence in the field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;ML and AI is an increasingly important field in all aspects of life. As a center that works to train the next generation of leaders in socially and ethically responsible ways, we hope that this program will allow more students who are interested in the field to pursue their education,\u0026rdquo; said ML@GT Director \u003Cstrong\u003EIrfan Essa. \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe center anticipates selecting four students who will receive roughly half of a graduate research assistant (GRA) appointment. While ML is a collaborative field with many subfields, the focus of projects must be on advancing machine learning and artificial intelligence methods that enable applications rather than creating the applications themselves.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe program is open to any Georgia Tech Ph.D. student who has a mentor or advisor that is \u003Ca href=\u0022http:\/\/ml.gatech.edu\/people\u0022\u003Eaffiliated with the center\u003C\/a\u003E. Preference will also be given to students who are not already supported by a fellowship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EApplications for the fellowship are due on Tuesday, Oct. 15, 2019 at 12 p.m. with award notices being sent by early January 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVisit the \u003Ca href=\u0022https:\/\/gatech.infoready4.com\/CompetitionSpace\/#competitionDetail\/1795782\u0022\u003Eapplication portal\u003C\/a\u003E for more information and to apply.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EAbout the Machine Learning Center at Georgia Tech\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThe Machine Learning Center at Georgia Tech is an interdisciplinary research center bringing together more than 190 faculty members and 60 machine learning Ph.D. students from across the institute for meaningful collaboration and innovation in machine learning and artificial intelligence. Students and faculty are experts in areas including, but not limited to computer vision, natural language processing, robotics, deep learning, ethics and fairness, computational finance, information security, and logistics and manufacturing. For more information, visit www.ml.gatech.edu\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Applications for a Ph.D. fellowship program through the Machine Learning Center are now open through Oct. 15. "}],"uid":"34773","created_gmt":"2019-10-01 13:31:40","changed_gmt":"2021-03-29 20:00:17","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-10-01T00:00:00-04:00","iso_date":"2019-10-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"626946":{"id":"626946","type":"image","title":"Tech Tower at Georgia Tech","body":null,"created":"1569936680","gmt_created":"2019-10-01 13:31:20","changed":"1569936680","gmt_changed":"2019-10-01 13:31:20","alt":"","file":{"fid":"238702","name":"13C10000-P14-013 (1).jpg","image_path":"\/sites\/default\/files\/images\/13C10000-P14-013%20%281%29.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/13C10000-P14-013%20%281%29.jpg","mime":"image\/jpeg","size":1021326,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/13C10000-P14-013%20%281%29.jpg?itok=EVQMOs5z"}}},"media_ids":["626946"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["allie.mcfadden@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"645832":{"#nid":"645832","#data":{"type":"news","title":"Assistant Professor Earns 2020 Salesforce AI Research Grant","body":[{"value":"\u003Cp\u003ESchool of Interactive Computing Assistant Professor \u003Cstrong\u003EDiyi Yang\u003C\/strong\u003E was named a \u003Ca href=\u0022https:\/\/blog.einstein.ai\/celebrating-the-winners-of-the-third-annual-salesforce-ai-research-grant\/\u0022\u003ESalesforce AI Research Grant Winner for 2020\u003C\/a\u003E. One of seven winners of the award, she will receive a $50,000 grant to advance her work. It is the third year the grant has been provided by Salesforce.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYang\u0026rsquo;s research, which is being led by her Ph.D. student \u003Cstrong\u003EJiaao Chen\u003C\/strong\u003E, aims to alleviate dependence of supervised models on labeled data via data augmentation approaches. Supervised learning is the machine learning task of learning a function that maps an input to an output based on example pairs, inferring the function from training data that has been tagged with identifying properties or characteristics (labeled data).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe hope is that they may improve upon the ability to transfer models from one setting to another despite the relative lack of intensive training examples.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In the era of deep learning, natural language processing (NLP) has achieved extremely good performances in most data-intensive settings,\u0026rdquo; Yang said. \u0026ldquo;However, when there are only one or a few training examples, supervised deep learning models often fail. This strong dependence on labeled data largely prevents neural network models from being applied to new settings or real-world situations.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYang\u0026rsquo;s group has published a couple of papers in this field already, and she said the Salesforce grant will further support efforts to extend it to broader contexts, especially when NLP tasks involve complicated outputs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;These examples might include performing named entity recognition that finds the important information in a text, or semantic parsing that converts a natural language sentence into a structured command,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYou can read previous papers on the subject at the links below:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~dyang888\/docs\/mixtext_acl_2020.pdf\u0022\u003E\u003Cem\u003EMixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification (Jiaao Chen, Zichao Yang, Diyi Yang)\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2010.01677.pdf\u0022\u003E\u003Cem\u003ELocal Additivity Based Data Augmentation for Semi-supervised NER (Jiaao Chen, Zhenghui Wang, Ran Tian, Zichao Yang, Diyi Yang)\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EYang was chosen from a group of over 180 quality proposals from more than 30 countries.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Yang\u2019s research, which is being led by her Ph.D. student Jiaao Chen, aims to alleviate dependence of supervised models on labeled data via data augmentation approaches."}],"uid":"33939","created_gmt":"2021-03-29 14:42:23","changed_gmt":"2021-03-29 14:42:23","author":"David 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dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/3pCtHa2","dateline":{"date":"2021-02-24T00:00:00-05:00","iso_date":"2021-02-24T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"644496":{"#nid":"644496","#data":{"type":"external_news","title":"Creating the Next Generation","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-02-19 16:06:39","changed_gmt":"2021-02-19 16:06:39","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/GTComputingBlackHistoryMonth","dateline":{"date":"2021-02-19T00:00:00-05:00","iso_date":"2021-02-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive 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excellence, community leadership, and been granted admittance to a graduate program. The Focus Program aims to introduce minority students to graduate school in hopes of increasing the number who pursue higher degrees.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERogers attended the Focus Program five years ago as an undergraduate student at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It helped me learn about grad school and set me up for success,\u0026rdquo; Rogers said of the program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe award, which carries a prize of up to $2,500 per student based on funds available and number of awardees, is not based on specific research but recognizes overall accomplishments. In an application essay, Rogers shared how OMED was pivotal to is success at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs an undergraduate, he participated in the \u003Ca href=\u0022https:\/\/omed.gatech.edu\/programs\/challenge\u0022\u003EChallenge Program\u003C\/a\u003E, a five-week academic residential program for incoming first-year students. Later, he became a counselor in the same program, an OMED tutor, a Focus participant, a Focus panelist, and last summer a computer science (CS) instructor in the Challenge program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It was really spooky because I was teaching the new Challenge students in the exact same room that I sat in when I was learning CS for the first time in Challenge a decade ago,\u0026rdquo; Rogers said. \u0026ldquo;Truly full circle. OMED has truly been a foundation for me here at Georgia Tech, and I am eternally grateful.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERogers\u0026rsquo; research focuses on human-robot interaction, investigating the effects that intelligent agent verbal deception has on human interaction.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Animals deceive. Humans deceive. Should robots and AI deceive?\u0026rdquo; Rogers poses in his research tagline.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdditionally, the work aims to provide AI systems the ability to autonomously produce contextually meaningful and successfully deceptive utterances while determining when it is appropriate to verbally deceive humans.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe is advised by IC Chair \u003Cstrong\u003EAyanna Howard\u003C\/strong\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The award recognizes participants in the Focus Program who have demonstrated academic excellence, community leadership, and been granted admittance to a graduate program."}],"uid":"33939","created_gmt":"2021-02-17 16:57:08","changed_gmt":"2021-02-17 17:08:48","author":"David 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14:06:27","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"information fair","field_article_url":"","publication_url":"https:\/\/techtransfercentral.com\/2021\/02\/02\/ga-tech-facebook-partner-to-engage-black-latino-students-in-ai-education\/","dateline":{"date":"2021-02-03T00:00:00-05:00","iso_date":"2021-02-03T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"643757":{"#nid":"643757","#data":{"type":"external_news","title":"Meet ML@GT: Joanne Truong is Developing Robots for Complex, Real World Situations","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-02-02 13:52:18","changed_gmt":"2021-02-02 13:52:18","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"http:\/\/bit.ly\/3tgFYnM","dateline":{"date":"2021-02-02T00:00:00-05:00","iso_date":"2021-02-02T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"643612":{"#nid":"643612","#data":{"type":"news","title":"Georgia Tech Research Highlights Premier Artificial Intelligence Conference","body":[{"value":"\u003Cp\u003EGeorgia Tech faculty and student researchers will figure prominently into the proceedings of the \u003Ca href=\u0022https:\/\/aaai.org\/Conferences\/AAAI-21\/\u0022\u003E35\u003Csup\u003Eth\u003C\/sup\u003E AAAI Conference on Artificial Intelligence\u003C\/a\u003E, being held virtually from Feb. 2-9.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwenty-three members of the Georgia Tech community contributed to 11 papers that will be presented at the conference, while two longtime contributors will join the ranks of the prestigious AAAI Fellows program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E Chair \u003Cstrong\u003EAyanna Howard\u003C\/strong\u003E and Professor \u003Cstrong\u003EAshok Goel\u003C\/strong\u003E join \u003Ca href=\u0022http:\/\/cc.gatech.edu\/\u0022\u003ECollege of Computing\u003C\/a\u003E Dean \u003Cstrong\u003ECharles Isbell\u003C\/strong\u003E (elected in 2019) and Regents\u0026rsquo; Professor Emerita \u003Cstrong\u003EJanet Kolodner\u003C\/strong\u003E (elected in 1992) are 2021 inductees to the fellowship, giving the Institute four members. The program recognizes individuals who have made significant, sustained contributions to the field of artificial intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[\u003Cstrong\u003ERelated news:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/643355\/ic-professors-howard-goel-named-2021-aaai-fellows\u0022\u003EIC Professors Howard, Goel Named 2021 AAAI Fellows\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENotable research among the eight papers accepted to AAAI 2021 includes work from a multi-institution team working to understand and improve forecasting models of influenza-like illnesses like Covid-19. Effective forecasting is even more challenging amidst the current pandemic, when counts are affected by various factors such as symptomatic similarities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe approach in this paper steers historical forecasting models to new scenarios where the flu and Covid-19 co-exist, demonstrating success in adaptation without sacrificing overall performance.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s \u003Cstrong\u003EAlexander Rodr\u0026iacute;guez\u003C\/strong\u003E and \u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E are co-authors on the paper, along with \u003Cstrong\u003ENikhil Muralidhar\u003C\/strong\u003E, \u003Cstrong\u003EAnika Tabassum\u003C\/strong\u003E, and \u003Cstrong\u003ENaren Ramakrishnan\u003C\/strong\u003E of Virginia Tech, and \u003Cstrong\u003EBijaya Adhikari \u003C\/strong\u003Eof the University of Iowa.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[\u003Cstrong\u003ERelated news:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/642638\/research-team-wins-two-covid-19-challenges-one-week\u0022\u003EResearch Team Wins Two Covid-19 Challenges in One Week\u003C\/a\u003E]\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExplore Georgia Tech\u0026rsquo;s presence in this visualization and view a list of papers below.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/public.tableau.com\/views\/AAAI2021-GeorgiaTechAIresearch\/Dashboard1?:language=en\u0026amp;:display_count=y\u0026amp;:origin=viz_share_link:showVizHome=no\u0022\u003EINTERACTIVE VISUALIZATION: Georgia Tech @ AAAI 20201\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.medrxiv.org\/content\/10.1101\/2020.09.28.20203109v2\u0022\u003EDeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting\u003C\/a\u003E (Alexander Rodr\u0026iacute;guez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.medrxiv.org\/content\/10.1101\/2020.09.28.20203109v2\u0022\u003ESemantic MapNet: Building Alocentric SemanticMaps and Representations from Egocentric Views\u003C\/a\u003E (Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, Dhruv Batra)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2009.11407.pdf\u0022\u003ESteering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19\u003C\/a\u003E (Alexander Rodr\u0026iacute;guez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2009.11407.pdf\u0022\u003EBias and Variance of Post-processing in Differential Privacy\u003C\/a\u003E (Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EBranch and Price for Bus Driver Scheduling with Complex Break Constraints (Lucas Kletzander, Nysret Musliu, Pascal Van Hentenryck)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EDetecting and Adapting to Novelty in Games (Xiangyu Peng, Jonathan Balloch, Mark Riedl)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2009.12562.pdf\u0022\u003EDifferentially Private and Fair Deep Learning: A Lagrangian Dual Approach\u003C\/a\u003E (Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2010.00685.pdf\u0022\u003EHow to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds\u003C\/a\u003E\u0026nbsp;(Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktaschel, Jason Weston)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2009.00829.pdf\u0022\u003EAutomated Storytelling via Causal, Commonsense Plot Ordering\u003C\/a\u003E\u0026nbsp;(Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark Riedl)\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1902.06007.pdf\u0022\u003EEncoding Human Domain Knowledge to Warm Start Reinforcement Learning\u003C\/a\u003E\u0026nbsp;(Andrew Silva, Matthew Gombolay)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2101.06351\u0022\u003EWeakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests\u003C\/a\u003E (Jiaao Chen, Diyi Yang)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Eighteen members of the Georgia Tech community contributed to eight papers that will be presented virtually at AAAI 2021, while two longtime contributors will join the ranks of the prestigious AAAI Fellows program."}],"uid":"33939","created_gmt":"2021-01-29 13:24:52","changed_gmt":"2021-02-01 15:48:30","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-29T00:00:00-05:00","iso_date":"2021-01-29T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"643611":{"id":"643611","type":"image","title":"Artificial Intelligence","body":null,"created":"1611926616","gmt_created":"2021-01-29 13:23:36","changed":"1611926616","gmt_changed":"2021-01-29 13:23:36","alt":"Artificial Intelligence","file":{"fid":"244352","name":"artificial-intelligence-4469138_1280.jpg","image_path":"\/sites\/default\/files\/images\/artificial-intelligence-4469138_1280.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/artificial-intelligence-4469138_1280.jpg","mime":"image\/jpeg","size":212458,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/artificial-intelligence-4469138_1280.jpg?itok=6bKOxBNr"}},"643694":{"id":"643694","type":"image","title":"AAAI 2021 Visualization","body":null,"created":"1612194422","gmt_created":"2021-02-01 15:47:02","changed":"1612194422","gmt_changed":"2021-02-01 15:47:02","alt":"Georgia Tech at AAAI 2021","file":{"fid":"244377","name":"aaai_viz.jpg","image_path":"\/sites\/default\/files\/images\/aaai_viz.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/aaai_viz.jpg","mime":"image\/jpeg","size":409660,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/aaai_viz.jpg?itok=2w3bfp7_"}}},"media_ids":["643611","643694"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643420":{"#nid":"643420","#data":{"type":"news","title":"National Science Foundation Funds Three-Year Project to Study Gene Expression in Single Cells\u00a0","body":[{"value":"\u003Cp\u003EProteins play an essential role in determining structural components of body tissue, enzymes, and antibodies. Understanding how cells determine which proteins to produce is the key to preventing disease, cellular mutations, and more.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA gene must be first expressed before its protein product is produced. Now, with advancements in computational science, researchers are asking if we can computationally identify the mechanism which decides which genes express themselves in a cell.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe answer to this billion-dollar question lies in predicting genetic regulatory networks using large-scale single cell gene-expression data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Assistant Professor\u0026nbsp;\u003Cstrong\u003EXiuwei Zhang\u0026nbsp;\u003C\/strong\u003Eis the recipient of a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2019771\u0022\u003E$400,000 National Science Foundation grant\u003C\/a\u003E\u0026nbsp;supporting the creation of new computing methods that aims to do just that.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We know that if we detect expression for a gene then it is likely that its proteins are also present. Since experimentally measuring protein abundance in cells is very difficult,\u0026nbsp;researchers look to gene regulatory networks to understand which proteins are present instead,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA gene regulatory network is a directing graph which shows, out of tens of thousands of genes, which genes are controlling other genes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A common theory people use about molecular biology is that one gene corresponds to one mRNA and then corresponds to one protein. And most of the existing work to learn the gene regulatory networks also use this theory. However, this theory is over-simplified, and the fact is that one gene can correspond to multiple mRNAs, thus multiple proteins,\u0026rdquo; said Zhang.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is where Zhang\u0026rsquo;s research breaks from traditional approaches and considers this one-to-many relationship in its gene regulatory networks.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Now since one gene corresponds to multiple isoforms, in our gene regulatory networks, the nodes are isoforms instead of genes, which can provide a more accurate representation of the actual regulatory mechanism in cells,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Zhang, recent advances in single cell RNA-sequencing technology have introduced new opportunities to infer high-quality regulatory networks at this level, but also pose new computational challenges\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn response to these challenges, a method for developing a transcript assembler that can quantify the expression level an isoform is needed to build an accurate and scalable regulatory network. This part of the work is led by Zhang\u0026rsquo;s collaborator,\u0026nbsp;Pennsylvania\u0026nbsp;State University Assistant Professor\u0026nbsp;\u003Cstrong\u003EMingfu Shao\u003C\/strong\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother challenge for the researchers to access network accuracy has to do with cell ordering which plays a major role in inferring an accurate network. Depending on the level of error, cell ordering will determine whether a regulatory network\u0026rsquo;s predictions are accurate. To ensure this new network\u0026rsquo;s predictions are accurate, Zhang has the robust goal to create a method that can perform cell ordering and network inference simultaneously.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUltimately, the new methods will be used in the field of immunology to study cellular mechanisms in steroid-producing cells with collaborators at\u0026nbsp;Cambridge University.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is very important for many biological events such as if disease happens during embryo development or to the immune system. It is our goal to be able to see from data that the level of an expression of a certain gene is not normal and then trace the problem through the regulator network. Once this is done, we can begin targeting the upstream genes for drug or vaccine development,\u0026rdquo; said Zhang.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Associate Professor Xiuwei Zhang was awarded an NSF grant to understand genetic expression at the isoform level."}],"uid":"34540","created_gmt":"2021-01-25 21:12:34","changed_gmt":"2021-01-29 14:12:48","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-25T00:00:00-05:00","iso_date":"2021-01-25T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"643419":{"id":"643419","type":"image","title":"Network Inference","body":null,"created":"1611608873","gmt_created":"2021-01-25 21:07:53","changed":"1611609377","gmt_changed":"2021-01-25 21:16:17","alt":"A protein 3D structure","file":{"fid":"244283","name":"Protein_ESR1_PDB_1a52.png","image_path":"\/sites\/default\/files\/images\/Protein_ESR1_PDB_1a52.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Protein_ESR1_PDB_1a52.png","mime":"image\/png","size":352331,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Protein_ESR1_PDB_1a52.png?itok=6NUhD2uF"}}},"media_ids":["643419"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[{"id":"186817","name":"isoform"},{"id":"3003","name":"protein"},{"id":"76231","name":"Computational Science and Engineering"},{"id":"4305","name":"cse"},{"id":"186818","name":"Computational Bioscience"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"643450":{"#nid":"643450","#data":{"type":"external_news","title":"Georgia Tech team develops AI to read EV charging station reviews to find infrastructure gaps","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-01-26 18:16:05","changed_gmt":"2021-01-26 18:16:05","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"glacial ice melt","field_article_url":"","publication_url":"https:\/\/www.greencarcongress.com\/2021\/01\/20210125-gatech.html","dateline":{"date":"2021-01-26T00:00:00-05:00","iso_date":"2021-01-26T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"643355":{"#nid":"643355","#data":{"type":"news","title":"IC Professors Howard, Goel Named 2021 AAAI Fellows","body":[{"value":"\u003Cp\u003ESchool of Interactive Computing Chair \u003Cstrong\u003EAyanna Howard\u003C\/strong\u003E and Professor \u003Cstrong\u003EAshok Goel\u003C\/strong\u003E were both named \u003Ca href=\u0022https:\/\/www.aaai.org\/Awards\/fellows.php\u0022\u003E2021 Fellows by the Association for the Advancement of Artificial Intelligence\u003C\/a\u003E (AAAI).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe AAAI Fellows program recognizes individuals who have made significant, sustained contributions \u0026ndash; usually over at least a 10-year period \u0026ndash; to the field of artificial intelligence (AI).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGoel\u0026rsquo;s research, which spans about 35 years, has connected fields of AI, cognitive science, and human cognition. Increasingly, it has merged the fields of AI and education, culminating in his lab\u0026rsquo;s groundbreaking work on \u003Ca href=\u0022https:\/\/emprize.gatech.edu\/\u0022\u003EJill Watson\u003C\/a\u003E, a virtual teaching assistant that can answer student questions in discussion forums for online classes. This trailblazing work has been recognized by numerous media outlets across the globe and has enormous long-term implications for the future of education.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is an exciting time for AI research into cognitive systems,\u0026rdquo; Goel said. \u0026ldquo;In one direction, my research uses the needs of human learning to ground and inspire novel AI techniques and tools. In the other, it uses AI theories and methods to provide new insights into human cognition and behavior.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team responsible for the advancement of Jill Watson and additional AI techniques for education, called emPrize, \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/631981\/team-makes-semifinals-global-ai-competition\u0022\u003Eadvanced to the semifinals of the international XPrize AI competition in 2020\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHoward, \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/641685\/renowned-roboticist-departing-georgia-tech-new-position\u0022\u003Ewho was recently named the next Dean of Engineering at The Ohio State University\u003C\/a\u003E, has performed similarly impactful research over her time in the field. As the director of the Human-Automation Systems Lab (HumAnS) at Georgia Tech, she has led research in conceptualizing humanized intelligence, the process of embedding human cognitive capability into the control path of autonomous systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpecifically, the lab studies how human-inspired techniques, such as soft computing methodologies, sensing, and learning can be used to enhance the autonomous capabilities of intelligent systems. This has impact in both virtual AI and robotics, and has led to enterprises like \u003Ca href=\u0022http:\/\/zyrobotics.com\/\u0022\u003EZyrobotics\u003C\/a\u003E, the company Howard co-founded that produces mobile therapy and educational products for children with differing needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdditionally, she has been a spokesperson for the importance of ethical research in the field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We\u0026rsquo;re at such a critical moment in the development of artificial intelligence,\u0026rdquo; Howard said. \u0026ldquo;There is incredible possibility, but equally daunting challenges. It\u0026rsquo;s an honor to be recognized for the work we are doing in this field, but it\u0026rsquo;s far from over. My hope is that I can inspire future researchers to pursue impactful and ethical advancements in the field.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEight others aside from Goel and Howard were also selected to the fellowship program for 2021 and will be recognized at the \u003Ca href=\u0022https:\/\/aaai.org\/Conferences\/AAAI-21\/\u0022\u003E2021 AAAI conference\u003C\/a\u003E, being held virtually Feb. 2-9.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The AAAI Fellows program recognizes individuals who have made significant, sustained contributions to the field of artificial intelligence (AI)."}],"uid":"33939","created_gmt":"2021-01-22 18:41:43","changed_gmt":"2021-01-22 18:41:43","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-22T00:00:00-05:00","iso_date":"2021-01-22T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"643352":{"id":"643352","type":"image","title":"Ashok Goel and Ayanna Howard","body":null,"created":"1611340547","gmt_created":"2021-01-22 18:35:47","changed":"1611340547","gmt_changed":"2021-01-22 18:35:47","alt":"Ashok Goel and Ayanna Howard","file":{"fid":"244266","name":"Ashok Goel and Ayanna Howard.png","image_path":"\/sites\/default\/files\/images\/Ashok%20Goel%20and%20Ayanna%20Howard.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Ashok%20Goel%20and%20Ayanna%20Howard.png","mime":"image\/png","size":1469621,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Ashok%20Goel%20and%20Ayanna%20Howard.png?itok=qWIWw2Wl"}}},"media_ids":["643352"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"181920","name":"cc-research; ic-ai-ml; ic-robotics"}],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643307":{"#nid":"643307","#data":{"type":"news","title":"IC Associate Professor Wins 2021 ACM-W Rising Star Award","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022http:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E Associate Professor \u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E was named a winner of the \u003Ca href=\u0022https:\/\/women.acm.org\/awards\/rising-star-award\/\u0022\u003E2021 ACM-W Rising Star Award\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe award, bestowed by the Association for Computing Machinery, recognizes a woman whose early-career research has had a significant impact on the computing discipline, as measured by factors like society impact, frequent citation of work, or creation of a new research area.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDe Choudhury will receive a framed certificate and a $1,000 stipend for the recognition, which is in its first year of existence and will be given out annually. She will be recognized for the award at a research conference to be named later.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I feel deeply honored for this recognition and owe my successes to my wonderful students and collaborators, as well as the intellectual freedom provided by Georgia Tech\u0026rsquo;s College of Computing that has helped trailblaze interdisciplinary research in computing, like mine, for years,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDe Choudhury\u0026rsquo;s work leverages large-scale online social data and advances in machine learning to help answer fundamental questions relating to our social lives. Chief among them lie within the field of mental health care \u0026ndash; understanding mental health, improving access to care, and more. Her work has been recognized by a number of other awards, including 13 best paper and honorable mention paper awards from the ACM and AAAI, as well as publications such as the New York Times, BBC, NPR, and others.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn addition to the personal appreciation, De Choudhury stressed the importance of recognizing the work of under-represented researchers in the computing field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I\u0026rsquo;d like to commend the efforts of ACM-W for creating this new opportunity to celebrate the research of a group under-represented in the computing field,\u0026rdquo; she said. \u0026ldquo;There is a long way to go when it comes to computing making significant positive impact on a pervasive societal problem like mental health. Still, this award serves as a valuable encouragement for the next frontier of my research program.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDe Choudhury leads the \u003Ca href=\u0022http:\/\/socweb.cc.gatech.edu\/\u0022\u003ESocial Dynamics and Wellbeing Lab\u003C\/a\u003E. Research from the lab, both past and current, can be explored in more detail on its website.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The award recognizes a woman whose early-career research has had a significant impact on the computing discipline."}],"uid":"33939","created_gmt":"2021-01-21 19:57:50","changed_gmt":"2021-01-21 19:57:50","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-21T00:00:00-05:00","iso_date":"2021-01-21T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"587685":{"id":"587685","type":"image","title":"Munmun De Choudhury","body":null,"created":"1487686001","gmt_created":"2017-02-21 14:06:41","changed":"1487783642","gmt_changed":"2017-02-22 17:14:02","alt":"Georgia Tech Assistant Professor Munmun De Choudhury","file":{"fid":"223975","name":"munmun portrait_horz.jpg","image_path":"\/sites\/default\/files\/images\/munmun%20portrait_horz.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/munmun%20portrait_horz.jpg","mime":"image\/jpeg","size":711876,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/munmun%20portrait_horz.jpg?itok=GwpgdV5R"}}},"media_ids":["587685"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"182015","name":"cc-research; ic-ai-ml; ic-hcc; ic-social-computing"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643200":{"#nid":"643200","#data":{"type":"external_news","title":"Cassie Mitchell Has Made a Medal-Winning Career Out of Adapting to Changes","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-01-20 19:23:48","changed_gmt":"2021-01-20 19:23:48","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"John R. Ragazzini Education Award","field_article_url":"","publication_url":"https:\/\/www.teamusa.org\/USParaTrackandField\/Features\/2021\/January\/17\/Cassie-Mitchell-Has-Made-A-Medal-Winning-Career-Out-Of-Adapting-To-Changes","dateline":{"date":"2021-01-20T00:00:00-05:00","iso_date":"2021-01-20T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"643133":{"#nid":"643133","#data":{"type":"external_news","title":"Undergraduates Design Covid Forecasting Dashboard","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2021-01-20 15:18:15","changed_gmt":"2021-01-20 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17:31:57","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Creating Helpful Incentives to Produce Semiconductors for America and Foundries Act","field_article_url":"","publication_url":"https:\/\/www.cfr.org\/blog\/we-should-have-known-solarwinds-would-be-target","dateline":{"date":"2021-01-15T00:00:00-05:00","iso_date":"2021-01-15T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"642944":{"#nid":"642944","#data":{"type":"external_news","title":"Assistant Professor Named to IEEE\u2019s AI\u2019s 10 to Watch 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16:55:11","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/38dS8oS","dateline":{"date":"2021-01-05T00:00:00-05:00","iso_date":"2021-01-05T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"642217":{"#nid":"642217","#data":{"type":"external_news","title":"Detection of eye contact with deep neural networks is as accurate as human experts","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-12-17 18:54:08","changed_gmt":"2020-12-17 18:54:08","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"John Peatman","field_article_url":"","publication_url":"https:\/\/www.nature.com\/articles\/s41467-020-19712-x","dateline":{"date":"2020-12-17T00:00:00-05:00","iso_date":"2020-12-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"642198":{"#nid":"642198","#data":{"type":"external_news","title":"ML@GT Awards First-Ever Doctorate in Machine Learning from Georgia Tech","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-12-17 17:00:51","changed_gmt":"2020-12-17 17:00:51","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"http:\/\/bit.ly\/38cOMBs","dateline":{"date":"2020-12-17T00:00:00-05:00","iso_date":"2020-12-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"42911","name":"Education"},{"id":"134","name":"Student and Faculty"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"642143":{"#nid":"642143","#data":{"type":"news","title":"Q\u0026A: De\u0027Aira Bryant Discusses Her Experience Programming a Robot for the Movie Superintelligence","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EDe\u0026rsquo;Aira Bryant\u003C\/strong\u003E didn\u0026rsquo;t come to Georgia Tech to work in the movie industry. Her interests lie within the field of robotics, where she works on projects that will increase the quality of human life.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBeing in the heart of Atlanta, however, the burgeoning heart of the film industry, comes with a few perks. Last year, Bryant was able to take advantage of one when she was contacted by representatives from the production crew of \u003Cem\u003ESuperintelligence\u003C\/em\u003E. The movie stars Melissa McCarthy as a woman who must prove to an artificial intelligence that humanity is worth saving and was recently released on HBO Max.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor the movie, Bryant was asked to program a Nao, a humanoid robot she uses in the \u003Ca href=\u0022https:\/\/humanslab.ece.gatech.edu\/\u0022\u003EHuman-Automation Systems (HumAnS) Lab\u003C\/a\u003E run by her advisor, School of Interactive Computing Chair Ayanna Howard. Read about Bryant\u0026rsquo;s experience programming the biggest star on the set.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHow did this opportunity to work with \u003Cem\u003ESuperintelligence\u003C\/em\u003E come about, and what was the experience like?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe production team reached out to the College of Computing. They were interested in having a robot for a scene and needed someone who could program the Nao to match the scene they had written. They reached out to Dr. Howard because they knew she had that type of robot, and she reached out to me because I\u0026rsquo;m the person who does most of the customized programming for this particular robot. If there\u0026rsquo;s a script or movements or whatever, I\u0026rsquo;m the choreographer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt was exciting. I was like, \u0026ldquo;Oh my goodness, this is for a movie.\u0026rdquo; I had no idea what it was about, but I was just excited to be a part of it. They asked if their ideas were possible and the production team was like, \u0026ldquo;We don\u0026rsquo;t know what it can do, but we think it looks cool. Can you make it do this?\u0026rdquo; We talked on the phone, and then I went to work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHow long did you have to program it?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI had about a week to get it ready. I had this idea of what they wanted, and I just tried to program it as best as I could.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESo, tell me about the day of. What was it like being on set?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI took the robot to the Klaus Advanced Computing Building. They were filming in there. It was so exciting to see everything. I had to tell the robot to go on their cue, so I was sitting right behind the camera. I got to meet Melissa McCarthy and some of the other stars, and I got a few pictures with them that I\u0026rsquo;m excited to finally be able to share with everyone. Everyone was so welcoming and understanding that the robot needed some time. I like to say that the robot was the biggest superstar on the set. It had its moments where it was like, \u0026ldquo;I\u0026rsquo;m not ready yet. My joint isn\u0026rsquo;t quite ready to do this movement.\u0026rdquo; They were understanding and eager to learn. They wanted their own pictures with the robot and everything, and had their own questions that I was excited to answer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EA lot of non-roboticists or AI researchers\u0026rsquo; first experiences with robots is in mass media like movies or TV shows, and normally its some dystopian or disaster scenario. How seriously did you take that responsibility or opportunity to portray the lighter, more realistic side?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI think for a lot of people, robots \u0026ndash; especially these humanoid ones \u0026ndash; have been largely portrayed negatively. They focus on disaster cases they may never happen in the next 100 years, if ever. There hasn\u0026rsquo;t been a lot of mass media attention that focuses on more positive use cases. I take that very seriously in our work, just knowing that we focus on people, on children that can benefit from the technology and have it improve their quality of life. It\u0026rsquo;s important to show those cases to affect the narrative. But we also want to highlight the concerns that are just. Things like bias and ethics of using robotics in certain domains. Those are real things that people are working to mitigate now, so we can bring people closer to what the field actually looks like by highlighting both.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEvery time I teach kids or teach a class, I start out by showing what robots can actually do. I show videos of them falling over or something like that to illustrate that those terminators or killer robots, that doesn\u0026rsquo;t happen right now. But there are some other issues that are real and current and pressing, and here\u0026rsquo;s how we address them.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBeing at Georgia Tech with movies filmed nearby has offered these kinds of neat opportunities. How neat is it to have this platform?\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMy friends think it\u0026rsquo;s so much cooler that I helped work on a movie that is going to be on HBO Max than for me to have some paper published at this really prestigious conference. The movie resonates with them more, so it\u0026rsquo;s an opportunity to have a connection. They can relate to the technology in a way that is natural to them and ask questions, and I can share more about robotics and my work. That\u0026rsquo;s how we get people interested in the field.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"De\u0027Aira Bryant programmed a robot for a scene in the movie Superintelligence. She discusses her experience in this Q\u0026A."}],"uid":"33939","created_gmt":"2020-12-15 23:09:43","changed_gmt":"2020-12-15 23:09:43","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-12-15T00:00:00-05:00","iso_date":"2020-12-15T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"642140":{"id":"642140","type":"image","title":"De\u0027Aira Bryant Superintelligence","body":null,"created":"1608072918","gmt_created":"2020-12-15 22:55:18","changed":"1608072918","gmt_changed":"2020-12-15 22:55:18","alt":"De\u0027Aira Bryant works on the set of the movie Superintelligence","file":{"fid":"243949","name":"BryantSuperintelligence2.jpg","image_path":"\/sites\/default\/files\/images\/BryantSuperintelligence2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/BryantSuperintelligence2.jpg","mime":"image\/jpeg","size":141730,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/BryantSuperintelligence2.jpg?itok=G6SL6u0X"}}},"media_ids":["642140"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"182940","name":"cc-research; ic-ai-ml; ic-robotics; ic-hcc"}],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642142":{"#nid":"642142","#data":{"type":"news","title":"Sehoon Ha Part of $500k Grant to Make Safer, More Deployable Robots","body":[{"value":"\u003Cp\u003ESafety is arguably the biggest barrier to large-scale deployability of humanoid assistive robots.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELarge, heavy, and with the potential to suddenly fall over all mean that the risk to humans has remained too high to place this technology in homes, hospitals, retail spaces, or care facilities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn 2016, however, researchers at UCLA posed a solution: What if we made robots that just couldn\u0026rsquo;t fall down? Now, researchers at Georgia Tech, in collaboration with UCLA and the University of Southern California, are working to develop a new class of locomotion systems that could enable this technology to become a larger part of our daily lives.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We have lots of robots,\u0026rdquo; said Sehoon Ha, an assistant professor in Georgia Tech\u0026rsquo;s School of Interactive Computing and a co-principal investigator on the project. \u0026ldquo;But they aren\u0026rsquo;t in our house or in our stores. It\u0026rsquo;s mainly because of safety. I have a young daughter. I wouldn\u0026rsquo;t be comfortable with a full-sized humanoid robot in my house.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPreviously, UCLA developed a new class of robots called \u0026ldquo;buoyancy-assisted robots.\u0026rdquo; Instead of the human-like hardware that was bulky, heavy, and subject to the pitfalls of gravity, these legged robots remained erect thanks to a body made of helium balloons.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Even though there is some mechanical or motor error, it never falls,\u0026rdquo; Ha said. \u0026ldquo;It never breaks. It\u0026rsquo;s super light. Even if it might collide with you, it doesn\u0026rsquo;t fall and it can\u0026rsquo;t hurt you.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECreating a new class of locomotion systems has a couple of challenges: designing a new hardware that is cheap and safe and developing an algorithm that supports locomotion and collaboration. This grant will support development of novel frameworks that address a fundamentally new family of legged robots and empower them with reliable locomotion skills.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The main philosophy is to deploy the reinforcement learning on real hardware,\u0026rdquo; Ha said. \u0026ldquo;This buoyancy-assisted robot is subject to a relatively larger magnitude of drag forces. It\u0026rsquo;s hard to simulate it. There\u0026rsquo;s a discrepancy between simulation and the real world. We want to collect real-world experience and limit the reality gap.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe technology could help carry out a search and rescue in a disaster relief zone or answer a question in a retail space. The new project, funded by a $500,000 grant from the National Science Foundation\u0026rsquo;s National Robotics Initiative, will help create new locomotion control systems using reinforcement learning to improve the state of this technology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlready cheaper than its bulkier counterparts, these robots could be as inexpensive as a couple hundred dollars produced at scale, Ha said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Now you might imagine a scenario where you could drop 1,000 of these into a disaster area to carry our search and rescue missions,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe grant runs for four years and research from the project will be open-source to encourage additional collaboration. The grant will also support a competition for middle and high school students using the low-cost platforms to foster student interest in the field.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Researchers at Georgia Tech, in collaboration with UCLA and the University of Southern California, are working to develop a new class of locomotion systems that could enable buoyancy-assisted robots to become a larger part of our daily lives."}],"uid":"33939","created_gmt":"2020-12-15 23:02:58","changed_gmt":"2020-12-15 23:02:58","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-12-15T00:00:00-05:00","iso_date":"2020-12-15T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"642141":{"id":"642141","type":"image","title":"Sehoon Ha","body":null,"created":"1608073322","gmt_created":"2020-12-15 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This AI Can Help.","body":[{"value":"\u003Cp\u003EA new tool that uses artificial intelligence is bringing notetaking up to speed and may help future digital assistants ease fears of ever missing a meeting again.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt\u0026rsquo;s an age-old problem: We are inundated with informal forms of communication like phone calls, remote video conferences, text conversations on group messaging platforms like Slack or Microsoft Teams. Remembering key points of each discussion can at times be overwhelming, not to mention the stress caused by missing a meeting or seeing a couple hundred messages stack up while you were out for lunch.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis digital solution, developed by Georgia Tech researchers and being presented in a paper this week at the \u003Ca href=\u0022https:\/\/2020.emnlp.org\/\u0022\u003E2020 Conference on Empirical Methods in Natural Language Processing\u003C\/a\u003E, can assuage those concerns by generating summaries of informal conversations. Using a subset of machine learning called natural language processing, the method identifies conversational structure using particular keywords.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Think about informal conversational structure: It has an opening, problem statements, discussions, a conclusion,\u0026rdquo; said \u003Cstrong\u003EDiyi Yang\u003C\/strong\u003E, an assistant professor in the School of Interactive Computing and a co-author on the paper. \u0026ldquo;We want to mine those structures to teach the model what may be informative within the conversation for generating better summaries.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWords like any variation of \u0026ldquo;hello\u0026rdquo; or \u0026ldquo;good,\u0026rdquo; for example, might indicate that it is a greeting. Other action words likely indicate some kind of intention, and dates or times a discussion and conclusion on plans. Knowing this, the model can represent the unstructured conversation better to craft an accurate summary.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese types of summaries are more important now than ever. More individuals all over the world are working or attending school remotely. More discussions are being handled over the phone or video conferencing, plans being made through applications like Microsoft Teams. Previous research on the subject has focused on formal content like books, papers, or news articles, but the existing body of work on informal language is relatively sparse.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is applicable now more than ever because of where we are,\u0026rdquo; Yang said. \u0026ldquo;There\u0026rsquo;s so much online and text conversation, and we have way too much information. We need help storing it in a shorter and more structured way. If you\u0026rsquo;re away from your laptop for 30 minutes, it\u0026rsquo;s important to be able to get a quick summary of what you missed.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChallenges still exist. There are problems with referral in the conversation, or calling back to a previous discussion point later in a meeting. There are also typos or slang, repetition, interruption or changes in role, language changes that can interfere with the model\u0026rsquo;s ability to determine structure. These are items Yang and her collaborator are continuing to address moving forward.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is a great starting point,\u0026rdquo; Yang said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe work is presented in the paper \u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2010.01672.pdf\u0022\u003E\u003Cem\u003EMulti-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization\u003C\/em\u003E\u003C\/a\u003E. The paper is co-authored by Yang and \u003Cstrong\u003EJiaao Chen\u003C\/strong\u003E, a second-year Ph.D. student in the School of Interactive Computing.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A new AI tool that summarizes unstructured conversational language could help future digital assistants ease fears of ever missing a meeting again."}],"uid":"33939","created_gmt":"2020-11-17 17:03:48","changed_gmt":"2020-11-17 17:03:48","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-11-17T00:00:00-05:00","iso_date":"2020-11-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"641380":{"id":"641380","type":"image","title":"Taking Notes","body":null,"created":"1605631344","gmt_created":"2020-11-17 16:42:24","changed":"1605631344","gmt_changed":"2020-11-17 16:42:24","alt":"A stack of notes on a table","file":{"fid":"243729","name":"Note taking photo.jpg","image_path":"\/sites\/default\/files\/images\/Note%20taking%20photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Note%20taking%20photo.jpg","mime":"image\/jpeg","size":28007,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Note%20taking%20photo.jpg?itok=9unEOuC7"}}},"media_ids":["641380"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"181639","name":"cc-research; ic-ai-ml"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"641253":{"#nid":"641253","#data":{"type":"external_news","title":"Being Polite Can Be Essential to Getting a Loan","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-11 20:50:30","changed_gmt":"2020-11-11 20:50:30","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/36pv3h2","dateline":{"date":"2020-11-11T00:00:00-05:00","iso_date":"2020-11-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"641236":{"#nid":"641236","#data":{"type":"external_news","title":"ML@GT Further Establishes Itself in Natural Language Processing Community","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-11 19:28:02","changed_gmt":"2020-11-11 19:28:02","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/37zn5UT","dateline":{"date":"2020-11-11T00:00:00-05:00","iso_date":"2020-11-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"641235":{"#nid":"641235","#data":{"type":"external_news","title":"ML@GT Introduces Machine Learning and AI Cluster at INFORMS Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-11 19:26:52","changed_gmt":"2020-11-11 19:26:52","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/36EfweL","dateline":{"date":"2020-11-09T00:00:00-05:00","iso_date":"2020-11-09T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"640990":{"#nid":"640990","#data":{"type":"external_news","title":"Thought Leaders to Address How Bias and Lack of Diversity Impact Data, Software, and Institutions","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-05 14:36:35","changed_gmt":"2020-11-05 14:36:35","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/34PIcQL","dateline":{"date":"2020-11-05T00:00:00-05:00","iso_date":"2020-11-05T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"640964":{"#nid":"640964","#data":{"type":"external_news","title":"Teaching AI agents to communicate and act in fantasy worlds","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-04 19:26:33","changed_gmt":"2020-11-04 19:26:33","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"bioelectromagnetics","field_article_url":"","publication_url":"https:\/\/techxplore.com\/news\/2020-11-ai-agents-fantasy-worlds.html","dateline":{"date":"2020-11-04T00:00:00-05:00","iso_date":"2020-11-04T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"640901":{"#nid":"640901","#data":{"type":"external_news","title":"Meet ML@GT: Zhanzhan Zhou Uses Machine Learning to End Residential Segregation in Atlanta","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-03 14:44:41","changed_gmt":"2020-11-03 14:44:41","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/34Q8X7N","dateline":{"date":"2020-11-03T00:00:00-05:00","iso_date":"2020-11-03T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"640900":{"#nid":"640900","#data":{"type":"external_news","title":"ML@GT Introduces Machine Learning and AI Cluster at INFORMS Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-11-03 14:43:03","changed_gmt":"2020-11-03 14:43:03","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/36EfweL","dateline":{"date":"2020-11-02T00:00:00-05:00","iso_date":"2020-11-02T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"640793":{"#nid":"640793","#data":{"type":"news","title":"Georgia Tech Researchers Contribute 13 Papers to Premier Visualization Conference","body":[{"value":"\u003Cp\u003EGeorgia Tech contributed to 13 papers and two workshops this week at \u003Ca href=\u0022http:\/\/ieeevis.org\/year\/2020\/welcome\u0022\u003EIEEE VIS 2020\u003C\/a\u003E, the premier forum for advances in theory, methods, and applications of visualization and visual analytics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe conference highlights research from universities, government, and industry around the world. It is comprised of three separate events: IEEE Visual Analytics Science and Technology (VAST), IEEE Information Visualization (InfoVis), and IEEE Scientific Visualization (SciVis). Like other conferences throughout the Covid-19 pandemic, VIS was held virtually.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s research was highlighted by one Best Paper Honorable Mention titled \u003Cem\u003EMapping Researchers with PeopleMap\u003C\/em\u003E. The paper \u0026ndash; authored by \u003Cstrong\u003EJon Saad-Falcon\u003C\/strong\u003E, \u003Cstrong\u003EOmar Shaikh\u003C\/strong\u003E, \u003Cstrong\u003EZijie J. Wang\u003C\/strong\u003E, \u003Cstrong\u003EAustin P. Wright\u003C\/strong\u003E, \u003Cstrong\u003ESasha Richardson\u003C\/strong\u003E, and \u003Cstrong\u003EPolo Chau\u003C\/strong\u003E \u0026ndash; presents an open-source interactive tool that uses natural language processing to create visual maps for researchers based on their research interests and publications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Discovering research expertise at universities can be a difficult task,\u0026rdquo; the paper contends. \u0026ldquo;Directories routinely become outdated, and few help in visually summarizing researchers\u0026rsquo; work or supporting the exploration of shared interests among researchers. This results in lost opportunities for both internal and external entities to discover new connections, nurture research collaboration, and explore the diversity of research.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe paper also received a VAST Poster Research Award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso of note, new School of Computational Science \u0026amp; Engineering Chair \u003Cstrong\u003EHaesun Park\u003C\/strong\u003E received recognition for a 2010 IEEE VAST Paper. The paper received a Test of Time Award, recognizing it for continued contributions to the visual analytics and visualization community. The paper is titled \u003Cem\u003EiVisClassifier: An Interactive Visual Analytics System for Classification Based on Supervised Dimension Reduction\u003C\/em\u003E and co-authored by \u003Cstrong\u003EJaegul Choo\u003C\/strong\u003E, \u003Cstrong\u003EHanseung Lee\u003C\/strong\u003E, and \u003Cstrong\u003EJaeyeon Kihm\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing Ph.D. student \u003Cstrong\u003EEmily Wall\u003C\/strong\u003E, who is advised by Associate Professor \u003Cstrong\u003EAlex Endert\u003C\/strong\u003E, was also recognized with the VGTC Outstanding Dissertation Honorable Mention for her work \u003Cem\u003EDetecting and Mitigating Human Bias in Visual Analytics\u003C\/em\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;People are susceptible to a multitude of biases, including perceptual biases and illusions; cognitive biases like confirmation bias or anchoring bias; and social biases like racial or gender bias that are borne of cultural experiences and stereotypes,\u0026rdquo; Wall contends. \u0026ldquo;As humans are an integral part of data analysis and decision making in many domains, their biases can be injected into and even amplified by models and algorithms.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHer work aims to develop a better understanding of the role human bias plays in visual data analysis by defining bias, detecting bias, and mitigating bias.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExplore more about Georgia Tech\u0026rsquo;s contributions to IEEE VIS at the links below, or visit the \u003Ca href=\u0022http:\/\/vis.gatech.edu\/\u0022\u003EGeorgia Tech Visualization Lab\u003C\/a\u003E. You can follow the lab on Twitter at \u003Ca href=\u0022https:\/\/twitter.com\/GT_Vis\u0022\u003E@GT_Vis\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGeorgia Tech at IEEE VIS 2020\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPapers\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2007.15832\u0022\u003ESafetyLens: Visual Data Analysis of Functional Safety of Vehicles (Arpit Narechania, Ahsan Qamar, and Alex Endert)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/nl4dv.github.io\/nl4dv\/\u0022\u003ENL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries (Arpit Narechania, Arjun Srinivasan, and John Stasko)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arjun010.github.io\/individual-projects\/databreeze.html\u0022\u003EInterweaving Multimodal Interaction with Flexible Unit Visualizations for Data Exploration (Arjun Srinivasan, Bongshin Lee, and John Stasko)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/terrancelaw.github.io\/publications\/data_insight_interviews_vis20.pdf\u0022\u003EWhat are Data Insights to Professional Visualization Users? (Po-Ming Law, Alex Endert, and John Stasko)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/terrancelaw.github.io\/publications\/auto_insights_vis20.pdf\u0022\u003ECharacterizing Automated Data Insights (Po-Ming Law, Alex Endert, and John Stasko)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2004.15004\u0022\u003ECNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization (Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2009.02608\u0022\u003EBluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks (Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/papers\/20-vis-ganlabeval.pdf\u0022\u003EHow Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis (Minsuk Kahng, Duen Horng (Polo) Chau)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2009.00091\u0022\u003EMapping Researchers with PeopleMap (Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng (Polo) Chau)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gtvalab.github.io\/files\/legion.pdf\u0022\u003ELEGION: Visually compare modeling techniques for regression (Subhajit Das, Alex Endert)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gtvalab.github.io\/files\/cava_dataaug.pdf\u0022\u003ECAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs (Dylan Cashman, Shenyu Xu, Subhajit Das, Florian Heimerl, Cong Liu, Shah Rukh Humayoun, Michael Gleicher, Alex Endert, Remco Chang)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003EA Comparative Analysis of Industry Human-AI Interaction Guidelines (Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel Keim, Duen Horng (Polo) Chau)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/trexvis.github.io\/Workshop2020\/papers\/Coscia.pdf\u0022\u003EToward A Bias-Aware Future for Mixed Initiative Visual Analytics (Adam Coscia, Duen Horng (Polo) Chau, Alex Endert)\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERecognitions\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~hpark\/papers\/choo_vast10_v1.pdf\u0022\u003EiVisClassifier: an Interactive Visual Analytics System for Classification Based on Supervised Dimension Reduction (Jaegul Choo, Hanseung Lee, Jaeyeon Kihm and Haesun Park)\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/smartech.gatech.edu\/handle\/1853\/63597\u0022\u003EDetecting and Mitigating Human Bias in Visual Analytics (Emily 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Rozell","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-10-15 12:59:10","changed_gmt":"2020-10-15 12:59:10","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/3dvDDOm","dateline":{"date":"2020-10-15T00:00:00-04:00","iso_date":"2020-10-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"640199":{"#nid":"640199","#data":{"type":"news","title":"Ivan Allen College of Liberal Arts and the College of Computing Launch New Ethics Center","body":[{"value":"\u003Cp\u003EBuilding on years of experience in research and education in ethics and technology, the College of Computing and the Ivan Allen College of Liberal Arts have launched the Ethics, Technology, and Human Interaction Center (ETHIC\u003Csup\u003Ex\u003C\/sup\u003E).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe new Center \u0026mdash; pronounced \u0026ldquo;ethics\u0026rdquo; \u0026mdash; will advance ethics-in-technology-centered research, education, and engagement at the Georgia Institute of Technology in collaboration with communities, government, non-governmental organizations, and industry. The office of the Executive Vice President for Research provided significant funds over a three-year period to seed the Center.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We must foster Georgia Tech\u0026rsquo;s strengths in ethics, responsible research, and the development of emerging technologies in collaborative ways,\u0026rdquo; said Raheem Beyah, Georgia Tech\u0026rsquo;s vice president for interdisciplinary research. \u0026ldquo;ETHIC\u003Csup\u003Ex \u003C\/sup\u003E\u0026nbsp;will provide the necessary environment to support this work and Georgia Tech\u0026rsquo;s mission to advance technology and improve the human condition.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Colleges already have in-depth research and education experience addressing technology-related ethics questions. For instance, the School of Public Policy founded the Center for Ethics and Technology more than 12 years ago to foster a critical inquiry culture and deliberation about technology-related ethical issues. Faculty in that Center research ethical issues in the design of emerging contact tracing technologies, design ethics, social justice theory, and criticism broadly, and their relationship to emerging technologies such as smart cities, self-driving cars, and smart assistants, and a platform for fostering reflection and self-correcting reasoning in teaching and deliberation. The College of Computing also has created thriving research and educational initiatives such as the Ethical AI professional development course and the Law, Policy, and Ethics Initiative for Machine Learning @ GATECH.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe new Center will build on those strengths and position the Georgia Institute of Technology to become the leader in framing ethical concerns in technology, including fairness, accountability, transparency, social justice, and technological change.\u003C\/p\u003E\r\n\r\n\u003Ch2\u003EAnticipating New Ethical Challenges\u003C\/h2\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;ETHIC\u003Csup\u003Ex\u003C\/sup\u003E will be a place for robust, multidisciplinary research and a place to engage in systematic ethical analyses,\u0026rdquo; said Kaye Husbands Fealing, dean of the Ivan Allen College of Liberal Arts and co-director of the new Center. \u0026ldquo;It also will be a place for communities, corporations, governments, technologists, educators, and others to discuss and find solutions to complex ethical issues in science and technology.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Center will conduct research in ethics and emerging technologies, frame ethical questions, solutions in ethics and technology, and social justice and equity. Interdisciplinary and community-based research also will be emphasized.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEducational initiatives will include investigating and designing curricula for ethics training that can be woven throughout students\u0026rsquo; educational journeys and for employees at affiliated companies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026rdquo;Responsibility is a core value of everything we do in the College of Computing at Georgia Tech. That means focusing on our communities and examining the impacts, both positive and negative, of our research and curricula,\u0026rdquo; said Charles Isbell, dean and John P. Imlay, Jr. chair of the College of Computing. \u0026ldquo;It means reaching across disciplines to collaborate with experts in other fields\u0026nbsp;who\u0026nbsp;can inform our own technological developments. We find solutions for tomorrow\u0026rsquo;s problems, which means we have to anticipate the new ethical challenges we will face. This Center will help us do that.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Ch2\u003ENew Center Builds on Deep Experience\u003C\/h2\u003E\r\n\r\n\u003Cp\u003EAyanna Howard, chair in the School of Interactive Computing, joins Husbands Fealing as co-director of the new Center.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In the School of Interactive Computing, we encourage all of our faculty and student researchers to think critically about the new challenges their research presents and offer strategies to mitigate any potential negative impact on society,\u0026rdquo; Howard said. \u0026ldquo;Good innovation isn\u0026rsquo;t just about developing new technologies; it\u0026rsquo;s about developing solutions to problems that can make the world a better, more equitable, and more inclusive place.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech launched the School of Interactive Computing in anticipation of the need for interdisciplinary research in computer science, liberal arts, and more. Faculty members examine diverse ethical challenges, including misinformation, content moderation, free speech on social platforms, data privacy and security, virtual reality, wearable computing devices, and robo-ethics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFaculty and students throughout the Ivan Allen College of Liberal Arts engage in interdisciplinary research collaborations on ethics and emerging technologies, including in areas such as engineering, the environment, bioethics, responsible innovation, research ethics, the \u003Cem\u003Eethical\u003C\/em\u003E\u0026nbsp;and political dimensions of design and technology, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In the Ivan Allen College, careful consideration of the impacts of technology on people, and of people on technology, is a central part of our curriculum and values,\u0026rdquo; said Justin Biddle, an associate professor in the School of Public Policy, director of the Center for Ethics and Technology, and a member of the new Center\u0026rsquo;s leadership team. \u0026ldquo;With innovation today often outpacing our ability to understand its consequences, and widespread questions regarding the relations between technology, equity, and social justice, this kind of thinking is more important than ever.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFaculty in both Colleges also have initiated discussions on the social and ethical implications of emerging technologies\u0026nbsp;across campus and beyond. These include the \u003Ca href=\u0022https:\/\/ethics.gatech.edu\/techdebates\u0022\u003E\u003Cem\u003ETechDebates on Emerging Technologies\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E, \u003C\/em\u003Ethe \u003Ca href=\u0022https:\/\/ethics.gatech.edu\/sparks-forum\u0022\u003ESparks Forum on Ethics and Engineering\u003C\/a\u003E, the Machine Learning@GT Seminar Series, and the \u003Ca href=\u0022http:\/\/techfutures.lmc.gatech.edu\/\u0022\u003EEthics and Technological Futures\u003C\/a\u003E series developed by Nassim Parvin and Susana Morris in the \u003Ca href=\u0022https:\/\/lmc.gatech.edu\u0022\u003ESchool of Literature, Media, and Communication\u003C\/a\u003E. Ellen Zegura, a professor in the School of Computer Science, also leads a Mozilla grant aimed at embedding ethics in computer science classes through role play.\u003C\/p\u003E\r\n\r\n\u003Ch2\u003E\u0026#39;Where the Best of Sciences and Humanities Meet\u0026#39;\u003C\/h2\u003E\r\n\r\n\u003Cp\u003EDeven Desai, associate professor and area coordinator for Law and Ethics at Scheller College of Business, also will assume a key leadership role at ETHIC\u003Csup\u003Ex\u003C\/sup\u003E. He said the new Center will \u0026ldquo;build and deepen technology-related ethics scholarship and research across Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Scheller College\u0026rsquo;s focus on law and ethics is part of how we train future business leaders, the people who take innovation and bring it to market,\u0026rdquo; said Desai, who is also associate director for Law, Policy, and Ethics for Machine Learning at GA Tech (ML@GATECH), an interdisciplinary research center.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;ETHICx will be a place where the best of science and humanities meet to challenge and push to find the unasked, important questions. In that friction and fun, the best questions about the problems we face and the best answer about how to solve them so that everyone can benefit will come out,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOther members of the new Center\u0026rsquo;s key leadership team include Jason Borenstein, director of graduate research ethics programs in the School of Public Policy; Betsy DiSalvo, director of the human-centered computing Ph.D. program and associate professor in the School of Interactive Computing; Michael Hoffmann, a professor in the School of Public Policy; and Nassim Parvin, an associate professor in the School of Literature, Media, and Communication.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA launch event is planned for November, during Ethics Awareness Week, with a forum to identify key challenges in technology ethics. The Center will soon announce details.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more information about ETHIC\u003Csup\u003Ex\u003C\/sup\u003E, contact Husbands Fealing at \u003Ca href=\u0022mailto:dean@gatech.edu\u0022\u003Edean@gatech.edu\u003C\/a\u003E or Howard at \u003Ca href=\u0022mailto:ah260@gatech.edu\u0022\u003Eah260@gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe new Center will advance ethics-in-technology-centered research, education, and engagement at the Georgia Institute of Technology in collaboration with communities, government, non-governmental organizations.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The new Center will advance ethics-in-technology-centered research, education, and engagement at the Georgia Institute of Technology."}],"uid":"33939","created_gmt":"2020-10-14 15:01:00","changed_gmt":"2020-10-14 17:15:52","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-10-13T00:00:00-04:00","iso_date":"2020-10-13T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"640176":{"id":"640176","type":"image","title":"ETHICx Center graphic","body":null,"created":"1602623629","gmt_created":"2020-10-13 21:13:49","changed":"1602623629","gmt_changed":"2020-10-13 21:13:49","alt":"","file":{"fid":"243345","name":"ETHICx graphic.jpg","image_path":"\/sites\/default\/files\/images\/ETHICx%20graphic.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ETHICx%20graphic.jpg","mime":"image\/jpeg","size":490407,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ETHICx%20graphic.jpg?itok=rW3XGy3i"}}},"media_ids":["640176"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"186032","name":"ETHICx"},{"id":"186033","name":"Ethics Technology and Human Interaction Center"},{"id":"1616","name":"Ivan Allen College of Liberal Arts"}],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMichael Pearson\u003Cbr \/\u003E\r\nmichael.pearson@iac.gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDavid Mitchell\u003Cbr 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16:51:19","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/639225\/finally-site-crops-headshots-instantly-without-sharing-your-photos","dateline":{"date":"2020-09-24T00:00:00-04:00","iso_date":"2020-09-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"639508":{"#nid":"639508","#data":{"type":"external_news","title":"HMS Researchers Develop New Tool for Early Detection of Local-Level COVID-19 Outbreaks","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-24 12:46:29","changed_gmt":"2020-09-24 12:46:29","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Deep Neural Object Detection","field_article_url":"","publication_url":"https:\/\/www.thecrimson.com\/article\/2020\/9\/24\/covid-outbreak-detection-tool\/","dateline":{"date":"2020-09-24T00:00:00-04:00","iso_date":"2020-09-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[{"id":"135","name":"Research"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"639402":{"#nid":"639402","#data":{"type":"external_news","title":"Diversity in AI: The Invisible Men and Women","body":[{"value":"\u003Cp\u003EIn a guest column for MIT Sloan Management Review, Constellations Executive Director Charles Isbell and School of Interactive Computing Chair Ayanna Howard address AI\u0026#39;s invisibility problem, why it matters, and what we can do about it moving forward.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-22 20:03:52","changed_gmt":"2020-09-22 20:03:52","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"armed conflict","field_article_url":"","publication_url":"https:\/\/sloanreview.mit.edu\/article\/diversity-in-ai-the-invisible-men-and-women\/?utm_source=twitter\u0026utm_medium=social\u0026utm_campaign=sm-direct","dateline":{"date":"2020-09-22T00:00:00-04:00","iso_date":"2020-09-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"606703","name":"Constellations Center"},{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[{"id":"181314","name":"constellations-external"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"639299":{"#nid":"639299","#data":{"type":"external_news","title":"New Tool Can Detect COVID-19 Outbreaks in U.S. Counties","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-18 19:15:11","changed_gmt":"2020-09-18 19:15:11","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Robert Louis Stevenson","field_article_url":"","publication_url":"https:\/\/www.isye.gatech.edu\/news\/new-tool-can-detect-covid-19-outbreaks-us-counties","dateline":{"date":"2020-09-18T00:00:00-04:00","iso_date":"2020-09-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"639233":{"#nid":"639233","#data":{"type":"external_news","title":"Tao Wins Best Paper Award at Artificial Intelligence and Statistics Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-17 19:15:09","changed_gmt":"2020-09-17 19:15:09","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/32BQ3Aq","dateline":{"date":"2020-09-17T00:00:00-04:00","iso_date":"2020-09-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"639151":{"#nid":"639151","#data":{"type":"external_news","title":"Siva Theja Maguluri Appointed to Fouts Family Early Career Professorship","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-16 13:52:59","changed_gmt":"2020-09-16 13:52:59","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Robert Louis Stevenson","field_article_url":"","publication_url":"https:\/\/www.isye.gatech.edu\/news\/siva-theja-maguluri-appointed-fouts-family-early-career-professorship","dateline":{"date":"2020-09-16T00:00:00-04:00","iso_date":"2020-09-16T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"639092":{"#nid":"639092","#data":{"type":"news","title":"Georgia Tech Receives Google Grant to Study Impact of Pandemic Information Seeking on Vulnerable Populations","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022http:\/\/gatech.edu\u0022\u003EGeorgia Tech\u003C\/a\u003E will receive $155,000 from \u003Ca href=\u0022https:\/\/ai.google\/social-good\/\u0022\u003EGoogle\u0026rsquo;s Covid-19 AI for Social Good\u003C\/a\u003E program to investigate patterns and impact of pandemic information-seeking amongst vulnerable populations, such as older adults, low-income households, and Black and Hispanic adults. These populations have experienced disproportionately high rates of Covid-19-related death, severe sickness, and life disruptions like job loss.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFactors like higher rates of underlying health problems, reduced access to health care, and structural inequities shape access to critical resources. These same populations, however, also often have less access to the types of online information designed to improve health outcomes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis project, led by principal investigator \u003Cstrong\u003EAndrea Grimes Parker\u003C\/strong\u003E, an associate professor in the \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E\u0026nbsp;and member of the \u003Ca href=\u0022http:\/\/ipat.gatech.edu\u0022\u003EInstitute for People and Technology\u003C\/a\u003E, will investigate how vulnerable and marginalized populations use technology for information seeking during the Covid-19 pandemic, as well as the impact of information exposure on their psychological wellbeing over time.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The Covid-19 pandemic has brought further attention to systemic disparities in health that have long existed in the United States,\u0026rdquo; Parker said. \u0026ldquo;Within a public health crisis, the information that people are exposed to has huge implications for how attitudes around the pandemic are shaped, how people respond, and thus the course of the pandemic.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our work will provide both qualitative and quantitative evidence of the particular ways in which Covid-19 information exposure is tied to outcomes such as mental health in those most vulnerable to Covid-19 mortality and morbidity.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers will examine this information exposure over time. Their\u0026nbsp;findings will help to shape recommendations for crisis information communication, particularly online, in the future. This work builds upon existing work by Parker and collaborators at Northeastern University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EParker and colleagues Professors \u003Cstrong\u003EMiso Kim\u003C\/strong\u003E and Dr. \u003Cstrong\u003EJacqueline Griffin\u003C\/strong\u003E began their collaboration investigation how well crisis apps \u0026ndash; mobile apps designed to provide help during emergency situations \u0026ndash; support older adults. This work was published at the 2020 ACM Conference on Human Factors in Computing Systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhen the pandemic began, they expanded their focus to additional groups of vulnerable to poor health, such as low-income and racial and ethnic minority populations. The team, in collaboration with Professor \u003Cstrong\u003EStacy Marsella\u003C\/strong\u003E, also expanded their focus beyond crisis apps, designing a survey to investigate information seeking practices in vulnerable populations amidst the pandemic.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis survey has been distributed to over 600 individuals in Massachusetts and Georgia to date. Parker\u0026rsquo;s new Google funding will enable the team to iterate on and expand the dissemination of this survey, conduct longitudinal analyses, and compliment the quantitative analysis with a qualitative component that will help unpack the nuances behind information-seeking practices and resulting Covid-19 attitudes, behaviors, and mental health outcomes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis funding is part of Google.org\u0026rsquo;s $100 million commitment to Covid-19 relief efforts.\u0026nbsp;Organizations receiving funds were selected through a competitive review. Funding focus areas include health equity, disease spread monitoring and forecasting, frontline health worker support, secondary public health effects, and privacy-preserving contact tracing efforts.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Populations including older adults, low-income households, and Black and Hispanic adults have disproportionately high fatality rates, as well as less access to critical pandemic information."}],"uid":"33939","created_gmt":"2020-09-14 19:46:37","changed_gmt":"2020-09-14 19:46:37","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-09-14T00:00:00-04:00","iso_date":"2020-09-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"639090":{"id":"639090","type":"image","title":"Covid-19 Google Grant","body":null,"created":"1600112099","gmt_created":"2020-09-14 19:34:59","changed":"1600112099","gmt_changed":"2020-09-14 19:34:59","alt":"Two women wearing masks during Covid-19 pandemic","file":{"fid":"242990","name":"coronavirus-4981906_1920.jpg","image_path":"\/sites\/default\/files\/images\/coronavirus-4981906_1920.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/coronavirus-4981906_1920.jpg","mime":"image\/jpeg","size":134084,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/coronavirus-4981906_1920.jpg?itok=UdfavL2O"}}},"media_ids":["639090"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"184821","name":"cc-research; ic-hcc; ic-ai-ml; COVID-19"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"639077":{"#nid":"639077","#data":{"type":"news","title":"Georgia Tech Part of $5 Million Grant to Develop AI Tech Supporting Individuals With Autism Spectrum Disorder in the Workplace","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022http:\/\/nsf.gov\u0022\u003ENational Science Foundation\u003C\/a\u003E has awarded a $5 million grant to a multi-university team of researchers that includes \u003Ca href=\u0022http:\/\/gatech.edu\u0022\u003EGeorgia Tech\u003C\/a\u003E to create novel artificial intelligence technology that trains and supports individuals with Autism Spectrum Disorder (ASD) in the workplace.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe investment follows a successful $1 million, nine-month pilot grant to the same team, which also includes Yale University, Cornell University, Vanderbilt University, and the Vanderbilt University Medical Center. Georgia Tech\u0026rsquo;s portion of the grant is $500,000.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELed by co-principal investigator Professor \u003Cstrong\u003EJim Rehg\u003C\/strong\u003E of the \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E, Georgia Tech will develop methods for assessing nonverbal communication behaviors during face-to-face social interactions such as job interviews.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our innovative approach uses an unobtrusive wearable camera to record social behaviors, which are then analyzed using computer vision and deep learning models,\u0026rdquo; Rehg said. \u0026ldquo;Our automated analysis will allow job seekers to get feedback on their communication skills as part of our team\u0026rsquo;s integrated approach to job interview coaching.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project, which is part of the NSF\u0026rsquo;s \u003Ca href=\u0022https:\/\/www.nsf.gov\/od\/oia\/convergence-accelerator\/\u0022\u003EConvergence Accelerator\u003C\/a\u003E program, addresses an underutilized U.S. talent pool that poses a \u0026ldquo;critical but overlooked public health and economic challenge: how to include individuals with ASD\u0026rdquo; in the workforce, according to Vanderbilt Professor \u003Cstrong\u003ENilanjan Sarkar\u003C\/strong\u003E who is leading the project team.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EConsider:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EOne in 54 people in the United States has ASD;\u003C\/li\u003E\r\n\t\u003Cli\u003EEach year 70,000 young adults with ASD leave high school and face grim employment prospects;\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EMore than 8 in 10 adults with ASD are either unemployed or underemployed, a significantly higher rate than adults with other developmental disabilities;\u003C\/li\u003E\r\n\t\u003Cli\u003EThe estimated lifetime cost of supporting an individual with ASD and limited employment prospects $3.2 million.\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EThe total estimated cost of caring for Americans with ASD was $268 billion in 2015 and projected to grow to $461 billion in 2025.\u003C\/li\u003E\r\n\t\u003Cli\u003EAn estimated $50,000 per person per year could be contributed back into society when individuals with ASD are employed.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We want to harness the power of AI, stakeholder engagement and convergent research to include neurodiverse individuals in the 21\u003Csup\u003Est\u003C\/sup\u003E century workforce,\u0026rdquo; Sarkar said. \u0026ldquo;We feel that there is a big opportunity to turn great societal cost into great societal value.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor this project, organizational, clinical and implementation experts are integrated with engineering teams to pave the way for real-world impact. The multi-university, multi-disciplinary team already has commitments from major employers to license some of the technology and tools developed.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers will address three themes:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EIndividualized assessment of unique abilities and appropriate job-matching\u003C\/li\u003E\r\n\t\u003Cli\u003ETailored understanding and ongoing support related to social communication and interaction challenge\u003C\/li\u003E\r\n\t\u003Cli\u003ETools to support job candidates, employees and employers.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EAlready, notable private-sector companies that employ people with ASD have committed to using at least one of the technologies developed under this program: Auticon, The Precisionists, Ernst \u0026amp; Young and SAP among them.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwo other companies, Floreo and Tipping Point Media, will make their existing VR modules available for adaptation to the program. Microsoft, which has a long-standing interest in hiring people with ASD, is involved as well and provided seed funding and access to cloud services for technology integration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe five technologies can be used separately or as an integrated system, and the work has broader potential beyond ASD to expand employment access. In the U.S. alone, an estimated 50 million people have ASD, attention-deficit\/ hyper-activity disorder, learning disability or other neuro-diverse conditions.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech will develop methods for assessing nonverbal communication behaviors during face-to-face social interactions such as job interviews."}],"uid":"33939","created_gmt":"2020-09-14 17:52:01","changed_gmt":"2020-09-14 17:52:01","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-09-14T00:00:00-04:00","iso_date":"2020-09-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"590844":{"id":"590844","type":"image","title":"Child Study Lab Autism Research","body":null,"created":"1493061979","gmt_created":"2017-04-24 19:26:19","changed":"1493061979","gmt_changed":"2017-04-24 19:26:19","alt":"Lab coordinator Audrey Southerland, along with undergraduate assistants, leads data collection at the Child Study Lab.","file":{"fid":"225112","name":"Autism5.jpg","image_path":"\/sites\/default\/files\/images\/Autism5.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Autism5.jpg","mime":"image\/jpeg","size":329499,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Autism5.jpg?itok=a3RDfy3M"}}},"media_ids":["590844"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"182941","name":"cc-research; ic-cybersecurity; ic-hcc"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"638833":{"#nid":"638833","#data":{"type":"external_news","title":"Learning Machines: Natural Language Processing Explained with Diyi Yang","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-08 15:44:51","changed_gmt":"2020-09-08 15:44:51","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/2Fi9uow","dateline":{"date":"2020-09-08T00:00:00-04:00","iso_date":"2020-09-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638801":{"#nid":"638801","#data":{"type":"external_news","title":"Better, Faster, and Less Biased Machine Learning","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-04 18:20:09","changed_gmt":"2020-09-04 18:20:09","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"John Wallingford","field_article_url":"","publication_url":"https:\/\/www.me.gatech.edu\/Better-Faster-and-Less-Biased-Machine-Learning","dateline":{"date":"2020-09-04T00:00:00-04:00","iso_date":"2020-09-04T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638748":{"#nid":"638748","#data":{"type":"external_news","title":"Meet ML@GT: Yuan Yang Looks to Find the \u2018Right\u2019 Problem to Solve","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-09-03 14:10:00","changed_gmt":"2020-09-03 14:10:00","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/3lGhNLP","dateline":{"date":"2020-09-03T00:00:00-04:00","iso_date":"2020-09-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638703":{"#nid":"638703","#data":{"type":"news","title":"Welcome New IC Faculty: Seven Join School from Variety of Research Areas","body":[{"value":"\u003Cp\u003EEach year, the School of Interactive Computing conducts a rigorous search for the brightest minds to carry forward its academic and research initiatives. This year, IC welcomes seven\u0026nbsp; to that mission. Take a quick glance at the new research\u0026nbsp;coming to the School in 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESehoon Ha\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. in Computer Science, Georgia Tech 2015\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch interests: Robotics, Artificial Intelligence, Character Animation\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHa\u0026rsquo;s research lies at the intersection of computer graphics and robotics, including physics-based animation, deep reinforcement learning, and computational robot design. Specifically, he has published work that addresses the need for more intelligent control software in robotics to improve agility, robustness, efficiency, and safety. In the long term, he aims to develop robotic companions for the home, search-and-rescue robots for disaster recovery scenes, and custom medical surgery robots that are tailored to individual patients.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EJennifer Kim\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. in Computer Science, University of Illinois, Urbana-Champaign 2019\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch interests: Human-Computer Interaction, Interactive Systems, Health Care\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKim\u0026rsquo;s research investigates and develops interactive systems as communication artifacts to address various health-related challenges such as financial burdens of medical costs, difficulties in understanding behaviors of people with neurological disorders, and online health misinformation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EChris Le Dantec\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. in Human-Centered Computing, Georgia Tech 2011\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch interests: Digital Media, Science and Technology Studies\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELe Dantec is interested in developing community-based design practices that support new forms of collective action through production and use of civic data. Specifically, his research has direct impact on how policy makers and citizens work together to address issues of community engagement, social justice, urban transportation, and development.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAndrea Grimes Parker\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. in Human-Centered Computing, Georgia Tech 2011\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch interests: Human-Computer Interaction, Computer Supported Cooperative Work, Health Informatics\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGrimes Parker designs and evaluates the impact of software tools that help people manage their health and wellness with a particular focus on equity. She studies racial, ethnic and economic health disparities, and the social context of health management. Through technology design, her research examines intrapersonal, social, cultural, and environmental factors that influence a person\u0026rsquo;s ability and desire to make healthy decisions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAlan Ritter\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. in Computer Science and Engineering, University of Washington 2013\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch interests: Natural Language Processing, Information Extraction, Machine Learning\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERitter\u0026rsquo;s research aims to solve challenging technical problems that can help machines learn to read vast quantities of text with minimal supervision. Past work included a system that reads millions of tweets for mentions of new software vulnerabilities. This tool spotted critical security flaws in software. He is also interested in data-driven dialogue agents that can converse with people more naturally.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESashank Varma\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. in Cognitive Studies, Vanderbilt University 2006\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch interests: Abstract Mathematical Thinking, Memory Systems Supporting Language Processing, Computational Models of High-Level Cognition\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVarma\u0026rsquo;s research investigates complex forms of cognition that are uniquely human from multiple disciplinary perspectives. Primarily, this involves mathematical cognition, where he investigates how people use symbols systems to understand abstract mathematical concepts, how they develop intuitions about and insights into mathematics, and the mental mechanisms shared between reasoning and algorithmic thinking.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWei Xu\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. in Computer Science, New York University 2014\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch Interests: Natural Language Processing, Machine Learning, Social Media\u003C\/p\u003E\r\n\r\n\u003Cp\u003EXu\u0026rsquo;s recent work focuses on methods to understand the varied expressions in human language and to generate paraphrases for applications, such as reading and writing assistive technology. She has also worked on crowdsourcing, summarization, and information extraction for user-generated data, such as Twitter and StackOverflow.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Take a quick glance at the new research\u00a0coming to the School of Interactive Computing in 2020."}],"uid":"33939","created_gmt":"2020-09-02 17:13:29","changed_gmt":"2020-09-02 17:13:29","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-09-02T00:00:00-04:00","iso_date":"2020-09-02T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"638702":{"id":"638702","type":"image","title":"New IC faculty 2020","body":null,"created":"1599066470","gmt_created":"2020-09-02 17:07:50","changed":"1599066470","gmt_changed":"2020-09-02 17:07:50","alt":"Sashank Varma, Sehoon Ha, Chris Le Dantec, Wei Xu, Alan Ritter, Andrea Grimes Parker, Jennifer Kim","file":{"fid":"242860","name":"New IC Faculty 2020.png","image_path":"\/sites\/default\/files\/images\/New%20IC%20Faculty%202020.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/New%20IC%20Faculty%202020.png","mime":"image\/png","size":1039808,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/New%20IC%20Faculty%202020.png?itok=EBKlSdn8"}}},"media_ids":["638702"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"181216","name":"cc-research"}],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"638689":{"#nid":"638689","#data":{"type":"news","title":"IC Student Ceara Byrne Trades Dog Toys for Masks to Chip in on Covid Relief","body":[{"value":"\u003Cp\u003EWhat do dog toys have to do with Covid-19 pandemic relief? Leave it to a Georgia Tech student to find a connection.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing Ph.D. student \u003Cstrong\u003ECeara Byrne\u003C\/strong\u003E, whose primary research focuses on instrumenting dog toys with various sensors to measure canine behavior, found a way to contribute to the cause when she was approached by a fellow Georgia Tech student for assistance in 3D printing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELee Whitcher\u003C\/strong\u003E, a Ph.D. student in the \u003Ca href=\u0022https:\/\/www.ae.gatech.edu\/\u0022\u003EDaniel Guggenheim School of Aerospace Engineering\u003C\/a\u003E, had already joined colleagues from the \u003Ca href=\u0022https:\/\/gtri.gatech.edu\/\u0022\u003EGeorgia Tech Research Institute\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/www.me.gatech.edu\/\u0022\u003EGeorge W. Woodruff School of Mechanical Engineering\u003C\/a\u003E to design and manufacture personal protective equipment (PPE) like face shields to supplement the available supplies in the Atlanta area.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe work from GTRI and ME assisted in hospitals, and Whitcher\u0026rsquo;s work \u0026ndash; a non-profit called \u003Ca href=\u0022http:\/\/AtlantaBeatsCOVID.com\u0022\u003EAtlanta Beats COVID\u003C\/a\u003E \u0026ndash; aimed to design and produce masks and ventilators that could be produced by non-engineers wherever they are needed.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo do that, Whitcher and his partners needed a 3D printer that could cast the negatives for the masks. Georgia Tech\u0026rsquo;s \u003Ca href=\u0022https:\/\/gvu.gatech.edu\/\u0022\u003EGVU\u003C\/a\u003E Prototyping Lab in the Technology Square Research Building had just what they needed. So did Byrne.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EByrne has been using the Prototyping Lab\u0026rsquo;s printer for a while now to develop negatives of the silicone dog toys she uses in her research. Byrne\u0026rsquo;s work involves studying behavior in canines to understand temperament for service animals.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I was inspired by a friend from high school who grew up on a ranch,\u0026rdquo; Byrne said. \u0026ldquo;She and I got involved in 4-H. When I came back for a master\u0026rsquo;s degree, I started working with \u003Cstrong\u003EThad Starner\u003C\/strong\u003E and \u003Cstrong\u003EMelody Jackson\u003C\/strong\u003E on the FIDO project. I started noticing these aspects of the data that were reflective of dog temperament like drive and how they tackle activities. It really interested me.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPart of the research was to find good ways to measure that temperament beyond just visual observation. One solution was to place sensors into toys to take measurements as the dog played with it.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;I\u0026rsquo;ve used the Prototyping Lab to 3D print my negative molds so that I can silicone cast the positives like balls and tug toys,\u0026rdquo; Byrne said. \u0026ldquo;It\u0026rsquo;s a long process of finding the right silicones, materials, hardness.\u0026nbsp; For the toys, I went through three or four different molds to find the right way to actually cast the parts. It was a lot of experimenting.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThat experimentation made her uniquely prepared to chip in with Whitcher\u0026rsquo;s project when Covid-19 hit. Looking for a way to develop the right mold for easy do-it-yourself mask production, Whitcher turned to Byrne for assistance.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There are a number of aspects to it,\u0026rdquo; Byrne said. \u0026ldquo;How do you de-gas some of the silicone? When you have a mask, you can\u0026rsquo;t have the bubbles in the mold because you need a seal. How do you do it with the vacuum? If there\u0026rsquo;s no vacuum available, what are some easier ways? How do we make these negatives properly, and how many can you cast at once? What are the environmental aspects when you do it from home?\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese are all questions Byrne has had to explore when it comes to her dog toys. The experience proved useful in the mask production, as well.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EByrne was happy to get involved in pandemic relief assistance. She has brothers and sisters-in-law who are doctors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;They\u0026rsquo;ve been amazing in helping around the community,\u0026rdquo; she said. \u0026ldquo;My brother is making masks, which I think is fascinating. He\u0026rsquo;s a radiation oncologist and has built respiratory masks with the Pancreatic Cancer Foundation. So, I wanted to help out in any way that I could, as well.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBeing at Georgia Tech, she said, made the collaboration a natural occurrence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;That\u0026rsquo;s what makes Georgia Tech unique, right?\u0026rdquo; she said. \u0026ldquo;We can collaborate across these disciplines that maybe don\u0026rsquo;t connect to each other on the surface.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERead more about the relief effort, how to request PPE, and how to get involved at \u003Ca href=\u0022http:\/\/AtlantaBeatsCOVID.com\u0022\u003EAtlantaBeatsCOVID.com\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Byrne, whose work uses a 3D printer to make dog toys, is using her expertise to help in mask production."}],"uid":"33939","created_gmt":"2020-09-01 22:53:17","changed_gmt":"2020-09-01 22:53:17","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-09-01T00:00:00-04:00","iso_date":"2020-09-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"638688":{"id":"638688","type":"image","title":"Ceara Byrne","body":null,"created":"1598997204","gmt_created":"2020-09-01 21:53:24","changed":"1598997204","gmt_changed":"2020-09-01 21:53:24","alt":"ceara byrne","file":{"fid":"242857","name":"heart-innovation.jpg","image_path":"\/sites\/default\/files\/images\/heart-innovation.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/heart-innovation.jpg","mime":"image\/jpeg","size":20656,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/heart-innovation.jpg?itok=orZbCYDG"}}},"media_ids":["638688"],"related_links":[{"url":"https:\/\/ae.gatech.edu\/news\/2020\/04\/what-engineers-do-crisis","title":"What Engineers Do in a Crisis"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"185769","name":"cc-research; ic-hcc; COVID-19"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"638544":{"#nid":"638544","#data":{"type":"external_news","title":"New Toolchain Automatically Finds Database Management System Bugs","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-28 18:30:22","changed_gmt":"2020-08-28 18:30:22","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/638534\/new-toolchain-automatically-finds-database-management-system-bugs","dateline":{"date":"2020-08-28T00:00:00-04:00","iso_date":"2020-08-28T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638233":{"#nid":"638233","#data":{"type":"external_news","title":"New algorithm follows human intuition to make visual captioning more grounded","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-24 13:22:28","changed_gmt":"2020-08-24 13:22:28","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"anti-black","field_article_url":"","publication_url":"https:\/\/aihub.org\/2020\/08\/24\/new-algorithm-follows-human-intuition-to-make-visual-captioning-more-grounded\/","dateline":{"date":"2020-08-24T00:00:00-04:00","iso_date":"2020-08-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638207":{"#nid":"638207","#data":{"type":"external_news","title":"ML@GT and Facebook release tools to help AI navigate complex environments","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-21 18:54:50","changed_gmt":"2020-08-21 18:54:50","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"macrophages","field_article_url":"","publication_url":"https:\/\/venturebeat.com\/2020\/08\/21\/facebook-releases-tools-to-help-ai-navigate-complex-environments\/","dateline":{"date":"2020-08-21T00:00:00-04:00","iso_date":"2020-08-21T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"638205":{"#nid":"638205","#data":{"type":"external_news","title":"Georgia Tech Showcases Research at Premier Data Mining Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-21 18:54:07","changed_gmt":"2020-08-21 18:54:07","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/sites.gatech.edu\/gtkdd2020\/","dateline":{"date":"2020-08-21T00:00:00-04:00","iso_date":"2020-08-21T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637999":{"#nid":"637999","#data":{"type":"external_news","title":"ML@GT Students Learn Valuable Skills from Internships Despite Participating Remotely","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-18 12:53:33","changed_gmt":"2020-08-18 12:53:33","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/2YeaAIF","dateline":{"date":"2020-08-18T00:00:00-04:00","iso_date":"2020-08-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637928":{"#nid":"637928","#data":{"type":"external_news","title":"ML@GT Makes a Strong Showing at Premier European Computer Vision Conference","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-17 14:48:27","changed_gmt":"2020-08-17 14:48:27","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/3gOYb5a","dateline":{"date":"2020-08-17T00:00:00-04:00","iso_date":"2020-08-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and 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16:12:14","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/343tZzJ","dateline":{"date":"2020-08-14T00:00:00-04:00","iso_date":"2020-08-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637835":{"#nid":"637835","#data":{"type":"external_news","title":"Swati Gupta Appointed to Fouts Family Early Career Professorship","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-13 15:21:34","changed_gmt":"2020-08-13 15:21:34","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Robert Louis Stevenson","field_article_url":"","publication_url":"https:\/\/www.isye.gatech.edu\/news\/swati-gupta-appointed-fouts-family-early-career-professorship","dateline":{"date":"2020-08-13T00:00:00-04:00","iso_date":"2020-08-13T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637779":{"#nid":"637779","#data":{"type":"external_news","title":"New Algorithm Follows Human Intuition to Make Visual Captioning More Grounded","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-12 14:04:45","changed_gmt":"2020-08-12 14:04:45","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/3kCBwvk","dateline":{"date":"2020-08-12T00:00:00-04:00","iso_date":"2020-08-12T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637711":{"#nid":"637711","#data":{"type":"news","title":"Two IC Grads Earn Sigma Xi Best Ph.D. Thesis Awards","body":[{"value":"\u003Cp\u003ERecent Georgia Tech Ph.D. graduates \u003Cstrong\u003ECaitlyn Seim\u003C\/strong\u003E and \u003Cstrong\u003EAishwarya Agrawal\u003C\/strong\u003E, both from the School of Interactive Computing, were awarded the 2020 Sigma Xi Best Ph.D. Thesis Award. They were two of just 10 Ph.D. students at Georgia Tech recognized with the honor.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESeim\u0026rsquo;s thesis, titled \u003Cem\u003EWearable Vibrotactile Stimulation: How Passive Stimulation Can Train and Rehabilitate\u003C\/em\u003E, presents a technique in which a vibrating wearable device is used to retrain motor function following debilitating occurrences of spinal fracture or stroke. Now a postdoc at Stanford University and a fellow with the National Institutes of Health, Seim is currently working with stroke survivors to develop accessible and functional wearable devices to reduce physical disability in both the upper and lower limbs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Lately, I have also developed new mechanical tools to assess hand and arm function when there are no quantitative clinical tests available,\u0026rdquo; Seim said. \u0026ldquo;I plan to continue research on wearable and ubiquitous systems for health, accessibility, and training.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn Agrawal\u0026rsquo;s thesis, titled \u003Cem\u003EVisual Question Answering and Beyond\u003C\/em\u003E, she explores a multi-modal artificial intelligence task called visual question answering. In this task, given an image and natural language question about it, a machine is programmed to automatically produce an accurate natural language answer. The applications of VQA include aiding visually impaired users in understanding their surroundings, aiding analysts in examining large quantities of surveillance data, teaching children through interactive demos, interacting with personal AI assistants, and making visual social media content more accessible.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow at DeepMind and soon to be an assistant professor at the University of Montreal and Mila, an AI research institute, Agrawal intends to equip current VQA systems with better skills to move toward artificial general intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In the long term, I am excited about science fiction becoming reality, when we all have smart virtual assistants that can see and talk and serve as an aid to visually impaired users,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe eight other recipients of the Georgia Tech Sigma Xi Best Ph.D. Thesis Award were Mingue Kim (ECE), Ming Zhao (Chemistry), Andres Caballero (BME), Ke (Chris) Liu (CEE), Monica McNerney (ChBE), Chris Sugino (ME), Hamid Reza Seyf (ME), and Eric Tervo (ME).\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"They were two of just 10 Ph.D. students at Georgia Tech recognized with the honor."}],"uid":"33939","created_gmt":"2020-08-10 13:46:02","changed_gmt":"2020-08-10 13:46:02","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-08-10T00:00:00-04:00","iso_date":"2020-08-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637710":{"id":"637710","type":"image","title":"Aishwarya Agrawal and Caitlyn Seim","body":null,"created":"1597067128","gmt_created":"2020-08-10 13:45:28","changed":"1597067128","gmt_changed":"2020-08-10 13:45:28","alt":"Aishwarya Agrawal and Caitlyn Seim","file":{"fid":"242547","name":"Personal Vlog YouTube Thumbnail.png","image_path":"\/sites\/default\/files\/images\/Personal%20Vlog%20YouTube%20Thumbnail.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Personal%20Vlog%20YouTube%20Thumbnail.png","mime":"image\/png","size":1057627,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Personal%20Vlog%20YouTube%20Thumbnail.png?itok=SUD_F-qp"}}},"media_ids":["637710"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"181639","name":"cc-research; ic-ai-ml"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"637525":{"#nid":"637525","#data":{"type":"external_news","title":"ML@GT Expands Natural Language Processing and Data Science Research with New Faculty Hires","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-08-05 13:22:55","changed_gmt":"2020-08-05 13:22:55","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/39Wbv5j","dateline":{"date":"2020-08-05T00:00:00-04:00","iso_date":"2020-08-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637524":{"id":"637524","type":"image","title":"ML@GT welcomes new faculty hires this fall.","body":null,"created":"1596633734","gmt_created":"2020-08-05 13:22:14","changed":"1596633734","gmt_changed":"2020-08-05 13:22:14","alt":"new faculty hires","file":{"fid":"242504","name":"NewMLFaculty_Fall2020.png","image_path":"\/sites\/default\/files\/images\/NewMLFaculty_Fall2020.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/NewMLFaculty_Fall2020.png","mime":"image\/png","size":229446,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/NewMLFaculty_Fall2020.png?itok=ufxewsFo"}}},"media_ids":["637524"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637277":{"#nid":"637277","#data":{"type":"external_news","title":"Why we need a G.I. Bill for the COVID era","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-07-27 12:59:28","changed_gmt":"2020-07-27 12:59:28","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"implicit bias training","field_article_url":"","publication_url":"https:\/\/thehill.com\/opinion\/education\/509064-why-we-need-a-gi-bill-for-the-covid-era?rnd=1595772043","dateline":{"date":"2020-07-27T00:00:00-04:00","iso_date":"2020-07-27T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637259":{"#nid":"637259","#data":{"type":"external_news","title":"Herrmann Honored with 2020 SEG Reginald Fessenden Award","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-07-24 18:46:12","changed_gmt":"2020-07-24 18:46:12","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/637235\/herrmann-honored-2020-seg-reginald-fessenden-award","dateline":{"date":"2020-07-24T00:00:00-04:00","iso_date":"2020-07-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637223":{"#nid":"637223","#data":{"type":"external_news","title":"The Record Industry Is Going After Parody Songs Written By an Algorithm","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-07-23 15:36:20","changed_gmt":"2020-07-23 15:36:20","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Nathan Bowman","field_article_url":"","publication_url":"https:\/\/www.vice.com\/en_ca\/article\/m7jpp3\/the-record-industry-is-going-after-parody-songs-written-by-an-algorithm","dateline":{"date":"2020-07-23T00:00:00-04:00","iso_date":"2020-07-23T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"637122":{"#nid":"637122","#data":{"type":"news","title":"Georgia Tech, 6 Collaborators Receive $5.9 Million NIH Grant for a National Center in AI-based mHealth Research","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers will develop more effective and personalized treatment approaches for chronic health conditions under a new grant from the \u003Ca href=\u0022http:\/\/nih.gov\u0022\u003ENational Institutes of Health\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe NIH is issuing $5.9 million in funding for a new national biomedical technology\u0026nbsp;resource center (BTRC), called the mHealth Center for Discovery, Optimization \u0026amp; Translation of Temporally-Precise Interventions (mDOT). Georgia Tech, one of seven collaborators on the project, will receive $500,000, and mDOT\u0026nbsp;will be headquartered at the MD2K Center of Excellence at The University of Memphis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the biggest drivers of the nation\u0026rsquo;s rising healthcare spending is providing care for patients with chronic diseases, many of which are linked to daily behaviors such as dietary choices, sedentary behavior, stress, and addiction. The mDOT Center will be a new national technology resource for improving people\u0026rsquo;s health and wellness. It will conduct cutting-edge AI research to produce easily deployable wearables, apps for wearables and smartphones, and a companion cloud system. mDOT\u0026rsquo;s innovative technology will enable patients to initiate and sustain the healthy lifestyle choices necessary to prevent and\/or successfully manage the growing burden of multiple chronic conditions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELed by \u003Cstrong\u003EJim Rehg\u003C\/strong\u003E, a Professor in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E, Georgia Tech\u0026rsquo;s project will focus on analyzing streams of biomarker data to enable the development of more effective, personalized treatment approaches for chronic health conditions like smoking and physical activity. To achieve this, the team will develop machine learning methods that can discover important risk factors from sensor data and identify effective intervention targets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Consider developing an intervention to help people who are trying to quit smoking by providing personalized strategies for managing risk factors that are known to precipitate relapse,\u0026rdquo; Rehg said. \u0026ldquo;Researchers and practitioners would use our tools to analyze biomarker data and characterize the patterns that lead to relapse and identify potential intervention targets.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe collaboration can then use the tools provided by the other teams to develop and tailor an effective personalized stress intervention and deliver it efficiently on a mobile device. \u003Cstrong\u003EOmer Inan\u003C\/strong\u003E, a faculty member in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ece.gatech.edu\u0022\u003ESchool of Electrical and Computer Engineering\u003C\/a\u003E, will also collaborate with the team, leveraging work on novel non-invasive biosensors that detect cardiovascular changes in heart failure. Working alongside the mDOT team will enhance the ability to develop and deploy interventions based on his novel wearable sensors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Researchers and industry innovators can leverage mDOT\u0026rsquo;s technological resources to create the next generation of mHealth technology that is highly personalized to each user, transforming people\u0026rsquo;s health and wellness,\u0026rdquo; said \u003Cstrong\u003ESantosh Kumar\u003C\/strong\u003E, the lead investigator of mDOT, who is the director of MD2K Center of Excellence and Lillian \u0026amp; Morrie Moss Chair of Excellence Professor of Computer Science at the University of Memphis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo ensure mDOT\u0026rsquo;s innovative technology can be used by scientists to solve real-world problems, mDOT will be working closely with over a dozen other federally-funded projects to engage in joint technology development, testing, and large-scale real-life deployment. To ensure that mDOT\u0026rsquo;s technological resources can fuel innovation in the health technology industry, the mDOT Center is establishing a new industry consortium to provide access to mDOT\u0026rsquo;s latest research and seek feedback to inform its ongoing research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe mDOT Center will be administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The mDOT Center will be the first\u003Ca href=\u0022https:\/\/www.nibib.nih.gov\/research-funding\/biomedical-technology-resource-centers\u0022\u003E\u0026nbsp;BTRC\u003C\/a\u003E\u0026nbsp;focused on developing innovative mHealth technologies. It is positioned to empower scientists to discover, personalize, and deliver temporally-precise mHealth interventions and treatments, ensuring that health and wellness tools are delivered at the right moment, via the right personal device, and is optimized to have the most influence,\u0026rdquo; said mDOT\u0026rsquo;s program officer\u0026nbsp;\u003Cstrong\u003ETiffani Lash\u003C\/strong\u003E, director of the NIBIB program inConnected Health.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe multidisciplinary mDOT team consists of leading researchers in artificial intelligence (AI), mobile computing, wearable sensors, privacy, and precision medicine from Harvard University, Georgia Institute of Technology, The Ohio State University, The University of Massachusetts-Amherst, The University of Memphis (lead), The University of California at Los Angeles, and The University of California at San Francisco.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbout MD2K:\u003C\/strong\u003E\u0026nbsp;The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), headquartered (in FedEx Institute of Technology) at The University of Memphis, was established in 2014 by a grant from National Institutes of Health (NIH) under its Big-Data-To-Knowledge (BD2K) initiative. It has developed mobile sensor big data technologies to improve health and wellness. MD2K\u0026rsquo;s open-source software platforms for smartphones and the cloud are used across the nation to conduct scientific studies.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"he NIH is issuing $5.9 million in funding for a new national biomedical technology\u00a0resource center (BTRC), called the mHealth Center for Discovery, Optimization \u0026 Translation of Temporally-Precise Interventions (mDOT)."}],"uid":"33939","created_gmt":"2020-07-20 20:36:27","changed_gmt":"2020-07-20 20:36:27","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-07-20T00:00:00-04:00","iso_date":"2020-07-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"592632":{"id":"592632","type":"image","title":"Rehg-Jim","body":null,"created":"1497298524","gmt_created":"2017-06-12 20:15:24","changed":"1497298713","gmt_changed":"2017-06-12 20:18:33","alt":"James Rehg","file":{"fid":"225873","name":"Rehg-Jim250.jpg","image_path":"\/sites\/default\/files\/images\/Rehg-Jim250.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Rehg-Jim250.jpg","mime":"image\/jpeg","size":66316,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Rehg-Jim250.jpg?itok=Fzvp-y4u"}}},"media_ids":["592632"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"182525","name":"cc-research; ic-hcc; ic-ai-ml"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"636928":{"#nid":"636928","#data":{"type":"external_news","title":"Hello Robot Launches Stretch","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-07-14 13:00:05","changed_gmt":"2020-07-14 13:00:05","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"including School of Electrical and Computer Engineering professors Oliver Brand","field_article_url":"","publication_url":"https:\/\/petitinstitute.gatech.edu\/news\/hello-robot-launches-stretch","dateline":{"date":"2020-07-14T00:00:00-04:00","iso_date":"2020-07-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"636848":{"#nid":"636848","#data":{"type":"news","title":"Teaching Neural Networks When to Stop","body":[{"value":"\u003Cp\u003EIf you were running and finished a course in five steps, you would not continue to march at the finish line to make sure you reached 10 steps in total. However, this absurd characteristic is a key problem that plagues deep neural networks, a type of machine learning model that governs a wide breadth of applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETypically, neural networks must go through a predetermined number of layers in order to complete every task, despite being able to complete the task in more or less layers.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENow, a team of researchers from Georgia Tech, Google Brain, and King Abdullah University of Science and Technology have created a steerable architecture that allows neural networks to sequentially determine whether to stop at an intermediate layer for each input or to continue going.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis novel approach combines a feed-forward deep model with\u0026nbsp;a variational stopping policy, allowing the network to adaptively stop at an earlier layer to avoid wasting energy. Experimentally, research has shown that the new deep learning model with the newly applied stopping policy is able to improve the performances on a diverse set of tasks such as image denoising and multitask learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Recently, there have been many efforts to bridge traditional algorithms with deep neural networks by combining the interpretability of the former and flexibility of the latter. Inspired by traditional algorithms which have certain stopping criteria for outputting results at different iterations, we design a variational stopping policy to decide which layer to stop for each input in the neural network,\u0026rdquo;\u0026nbsp;said\u0026nbsp;\u003Cstrong\u003EXinshi Chen\u003C\/strong\u003E\u0026nbsp;a Ph.D. student from the\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;and researcher on the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Chen, training the neural network along with the stopping policy is very challenging and is one of the most important contributions of this research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Notably, our paper proposes a principled and efficient algorithm to jointly train these two components together. This algorithm can be mathematically explained from the variational Bayes perspective and can be generally applied to many problems,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhat\u0026rsquo;s more is that deep neural networks are typically considered black boxes, meaning that researchers don\u0026rsquo;t mathematically know why an output \u0026ndash; no matter how accurate \u0026ndash; is produced. By bridging deep learning neural networks with the traditional algorithms\u0026rsquo; steps, it has broken the black box restriction and is now an inherently interpretable \u0026ndash; and therefore, more accountable \u0026ndash; system.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe findings of this research are published in the paper,\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2006.05082.pdf\u0022 title=\u0022https:\/\/arxiv.org\/pdf\/2006.05082.pdf\u0022\u003E\u003Cem\u003ELearning to Stop While Learning to Predict\u003C\/em\u003E\u003C\/a\u003E, which is set to be presented at the virtual\u0026nbsp;\u003Ca href=\u0022https:\/\/icml.cc\/\u0022\u003EThirty-seventh International Conference on Machine Learning\u003C\/a\u003E\u0026nbsp;July 14 , 1:00-1:45 and July 15 12:00-12:45 EDT.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A team of researchers from Georgia Tech, Google Brain, and King Abdullah University of Science and Technology have successfully created an architecture that allows neural networks to determine when it reaches an optimal stopping point"}],"uid":"34540","created_gmt":"2020-07-09 14:53:49","changed_gmt":"2020-07-09 17:47:25","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-07-09T00:00:00-04:00","iso_date":"2020-07-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636844":{"id":"636844","type":"image","title":"Training Neural Networks When to Stop","body":null,"created":"1594305053","gmt_created":"2020-07-09 14:30:53","changed":"1594305053","gmt_changed":"2020-07-09 14:30:53","alt":"A diagram showing the layers that a neural network passes through and determining when to stop","file":{"fid":"242273","name":"Diagram showing neural network steps.png","image_path":"\/sites\/default\/files\/images\/Diagram%20showing%20neural%20network%20steps.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Diagram%20showing%20neural%20network%20steps.png","mime":"image\/png","size":338098,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Diagram%20showing%20neural%20network%20steps.png?itok=o12cSUkf"}}},"media_ids":["636844"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"176999","name":"neural networks"},{"id":"185278","name":"xinshi Chen"},{"id":"127171","name":"Le Song"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"636853":{"#nid":"636853","#data":{"type":"external_news","title":"Dellaert Wins Test of Time Award for a Second Time This Year","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-07-09 15:46:33","changed_gmt":"2020-07-09 15:46:33","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"security dynamics","field_article_url":"","publication_url":"https:\/\/bit.ly\/2AJdJaZ","dateline":{"date":"2020-07-09T00:00:00-04:00","iso_date":"2020-07-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive 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in COVID cases, deaths","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-15 20:10:07","changed_gmt":"2020-06-15 20:10:07","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Meatless Monday","field_article_url":"","publication_url":"https:\/\/www.georgiahealthnews.com\/2020\/05\/georgia-tech-model-predicts-spike-covid-cases-deaths\/","dateline":{"date":"2020-05-08T00:00:00-04:00","iso_date":"2020-05-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"636242":{"#nid":"636242","#data":{"type":"external_news","title":"We\u2019re in the Calm before a New Storm of COVID-19 Infections and Deaths","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-15 20:09:07","changed_gmt":"2020-06-15 20:09:07","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"work family interactions","field_article_url":"","publication_url":"https:\/\/blogs.scientificamerican.com\/observations\/were-in-the-calm-before-a-new-storm-of-covid-19-infections-and-deaths\/","dateline":{"date":"2020-05-11T00:00:00-04:00","iso_date":"2020-05-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"636196":{"#nid":"636196","#data":{"type":"news","title":"ML@GT Faculty Members Will Discuss Projects Related to Covid-19 Relief During Virtual Panel","body":[{"value":"\u003Cp\u003EThe coronavirus (Covid-19) pandemic has wreaked havoc on the world, spurring researchers across disciplines into action to help human-kind. Four researchers affiliated with the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT)\u003C\/a\u003E and one \u003Ca href=\u0022https:\/\/omscs.gatech.edu\/\u0022\u003EOnline Master of Science in Computer Science (OMSCS)\u003C\/a\u003E student examined different aspects of the virus\u0026rsquo; impact. From creating forecasting models to studying the psychological impact of the disease, these researchers are helping people understand the virus.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOn June 24, ML@GT faculty members \u003Cstrong\u003ESrijan Kumar \u003C\/strong\u003E(School of Computational Science and Engineering,) \u003Cstrong\u003EAditya Prakash \u003C\/strong\u003E(School of Computational Science and Engineering,) \u003Cstrong\u003EMunmun De Choudhury \u003C\/strong\u003E(School of Interactive Computing,) \u003Cstrong\u003ENicoleta Serban\u0026nbsp;\u003C\/strong\u003E(H. Milton Stewart School of Industrial and Systems Engineering,) and OMSCS student \u003Cstrong\u003EKenneth Miller\u003C\/strong\u003E will participate in a virtual panel discussing their work. The panel will be moderated by ML@GT executive director \u003Cstrong\u003EIrfan Essa\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPanelists will give individual presentations before participating in a general question-and-answer segment with audience members.\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EKumar and De Choudhury will share details of their work regarding the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/hg\/item\/635397\u0022\u003Epsychological impact of Covid-19\u003C\/a\u003E. Kumar will also discuss his work examining \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635858\/predicting-hate-crimes-targeting-asian-americans-amid-covid-19-outbreak\u0022\u003Ehate and counter-hate messages on Twitter against Asian Americans\u003C\/a\u003E during the pandemic.\u003C\/li\u003E\r\n\t\u003Cli\u003EPrakash is a member of the Center for Disease Control and Prevention\u0026rsquo;s (CDC) forecasting team, and will share their \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635849\/forecasting-covid-19-pandemic-united-states\u0022\u003Enew data-driven approach to disease forecasting\u003C\/a\u003E.\u003C\/li\u003E\r\n\t\u003Cli\u003ESerban\u0026rsquo;s presentation will focus on her work creating an \u003Ca href=\u0022https:\/\/www.georgiahealthnews.com\/2020\/05\/georgia-tech-model-predicts-spike-covid-cases-deaths\/\u0022\u003Eagent-based simulation\u0026nbsp;forecasting model\u003C\/a\u003E. This model captures the progression of the disease in an individual and in households, schools, communities, and workplaces.\u003C\/li\u003E\r\n\t\u003Cli\u003EA lawyer by day and OMSCS student by night, Miller participated in a Kaggle challenge using natural language processing and machine learning to \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635081\/omscs-student-uses-machine-learning-help-understand-covid-19\u0022\u003Ehelp doctors and scientists read the most important studies\u003C\/a\u003E related to Covid-19.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EThe panel will take place virtually via a Bluejeans Event at 11 a.m. on June 24 and is open to the public. \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/sfpbpsgg\u0022\u003ERegistration is required\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020."}],"uid":"34773","created_gmt":"2020-06-12 13:40:53","changed_gmt":"2020-06-15 19:52:10","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-12T00:00:00-04:00","iso_date":"2020-06-12T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636195":{"id":"636195","type":"image","title":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020.","body":null,"created":"1591969094","gmt_created":"2020-06-12 13:38:14","changed":"1591969094","gmt_changed":"2020-06-12 13:38:14","alt":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020.","file":{"fid":"242073","name":"Using Machine Learning to Respond to Covid-19.png","image_path":"\/sites\/default\/files\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png","mime":"image\/png","size":504783,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png?itok=HSZ2sXoG"}}},"media_ids":["636195"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"431631","name":"OMS"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"636148":{"#nid":"636148","#data":{"type":"external_news","title":"Van Hentenryck Transforms Theories into Products Used Worldwide","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-10 18:55:31","changed_gmt":"2020-06-10 18:55:31","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Tokyo Smart City studio","field_article_url":"","publication_url":"https:\/\/bit.ly\/2UuIkzv","dateline":{"date":"2020-06-10T00:00:00-04:00","iso_date":"2020-06-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"636137":{"#nid":"636137","#data":{"type":"external_news","title":"Tech Designed to Help Assistive Robots Work More Closely with Patients","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-10 17:56:06","changed_gmt":"2020-06-10 17:56:06","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Tokyo Smart City studio","field_article_url":"","publication_url":"https:\/\/bit.ly\/2UgZyR3","dateline":{"date":"2020-06-10T00:00:00-04:00","iso_date":"2020-06-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"636110":{"#nid":"636110","#data":{"type":"news","title":"Robotics Research Includes Advances in Systems Design, Applications, and other Key Areas","body":[{"value":"\u003Cp\u003ERoboticists from around the world, including researchers from the Georgia Institute of Technology, are publishing their latest work at the 2020 IEEE International Conference on Robotics and Automation (ICRA), a two-week live online virtual affair\u0026nbsp;the first part of June, with research activities continuing through August.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/icra.cc.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EGeorgia Tech is a leading contributor\u003C\/a\u003E with 42 papers that include research covering more than 60 subfields within robotics. Deep learning in robotics and automation is one of the top areas of research among authors from the College of Computing and College of Engineering, the two largest contributors to Georgia Tech\u0026rsquo;s research at ICRA.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeep learning is computing\u0026rsquo;s strongest area while mechanism design is where engineering excels based on the number of authors in the areas.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETop 3 subfields for computing authors:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDeep Learning\u003C\/li\u003E\r\n\t\u003Cli\u003ESemantic Scene Understanding\u003C\/li\u003E\r\n\t\u003Cli\u003EPhysically Assistive Devices and Network Devices (tie)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETop 3 subfields for engineering authors:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EMechanism Design\u003C\/li\u003E\r\n\t\u003Cli\u003ELearning and Adaptive Systems\u003C\/li\u003E\r\n\t\u003Cli\u003EMulti-Robot Systems\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EThe diversity of Georgia Tech robotics research at ICRA is also represented in the number of academic units and disciplines involved in advancing the field. Multidisciplinary teams often come together to tackle challenges that require a unique combination of skill sets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThere are nearly 100 Georgia Tech authors with work at ICRA. Explore the people, research, and trends from our community at \u003Ca href=\u0022https:\/\/icra.cc.gatech.edu\/\u0022\u003Ehttps:\/\/icra.cc.gatech.edu\/\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ERoboticists from around the world, including researchers from the Georgia Institute of Technology, are publishing their latest work at the 2020 IEEE International Conference on Robotics and Automation (ICRA), a two-week live online virtual affair\u0026nbsp;the first part of June, with research activities continuing through August.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Roboticists from around the world, including researchers from the Georgia Institute of Technology, are publishing their latest work at the 2020 IEEE International Conference on Robotics and Automation (ICRA)."}],"uid":"27592","created_gmt":"2020-06-09 20:02:45","changed_gmt":"2020-06-09 20:06:23","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-09T00:00:00-04:00","iso_date":"2020-06-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636111":{"id":"636111","type":"image","title":"ICRA 2020","body":null,"created":"1591733133","gmt_created":"2020-06-09 20:05:33","changed":"1591733133","gmt_changed":"2020-06-09 20:05:33","alt":"","file":{"fid":"242036","name":"viz-icra_authors-by-kw.png","image_path":"\/sites\/default\/files\/images\/viz-icra_authors-by-kw.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/viz-icra_authors-by-kw.png","mime":"image\/png","size":148295,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/viz-icra_authors-by-kw.png?itok=GDoMSXSY"}}},"media_ids":["636111"],"groups":[{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston@cc.gatech.edu?subject=ICRA\u0022\u003EJoshua Preston\u003C\/a\u003E\u003Cbr \/\u003E\r\nResearch Communications Manager\u003Cbr \/\u003E\r\nCollege of Computing\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"636085":{"#nid":"636085","#data":{"type":"external_news","title":"Georgia Tech at ICRA 2020","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-09 15:33:36","changed_gmt":"2020-06-09 15:33:36","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/icra.cc.gatech.edu\/","dateline":{"date":"2020-06-09T00:00:00-04:00","iso_date":"2020-06-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"636082":{"#nid":"636082","#data":{"type":"news","title":"Dellaert Awarded IEEE ICRA Milestone Award","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EFrank Dellaert\u003C\/strong\u003E, a professor in the\u0026nbsp;\u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E, and affiliated with the\u0026nbsp;\u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT)\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/gvu.gatech.edu\/\u0022\u003EGVU Center\u003C\/a\u003E, has been honored with the IEEE ICRA Milestone Award at the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.icra2020.org\/\u0022\u003E2020 IEEE International Conference on Robotics and Automation (ICRA.)\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe award recognizes the most influential ICRA paper published between 1998-2002 and selected\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ri.cmu.edu\/pub_files\/pub1\/dellaert_frank_1999_2\/dellaert_frank_1999_2.pdf\u0022\u003E\u003Cem\u003EMonte Carlo Localization for Mobile Robots\u003C\/em\u003E\u003C\/a\u003E\u0026nbsp;as this year\u0026rsquo;s recipient. Dellaert conducted this work during his Ph.D studies at Carnegie Mellon University with\u0026nbsp;\u003Cstrong\u003EDieter Fox, Wolfram Burgard\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003ESebastian Thrun\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It is a great honor to be recognized, but receiving a \u0026rsquo;20 years on\u0026rsquo; milestone award also makes you feel old!\u0026rdquo; said Dellaert.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe paper was accepted to ICRA in 1999 and introduced the Monte Carlo Localization (MLC) method or particle filter localization, which represents the probability density involved in maintaining a set of samples that are randomly drawn from it. This method is faster, more accurate, and less memory-intensive than earlier grid-based methods and allows a robot to be localized without knowledge of its starting location.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMCL is simple to apply to the robotics domain, leading to its popularity. It is now taught in every robotics 101 class around the world. Many mobile robots, including commercial efforts, rely on MCL for localizing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Simplicity is key for acceptance and you cannot predict which of your research will have the most impact. This paper was a result of me procrastinating on my Ph.D. thesis which is a paper almost nobody read. It is an enormous honor that MCL has made a lasting impact on our field,\u0026rdquo; said Dellaert.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The award recognizes the most influential ICRA paper published between 1998-2002 and selected\u00a0Monte Carlo Localization for Mobile Robots\u00a0as this year\u2019s recipient. "}],"uid":"34773","created_gmt":"2020-06-09 15:09:11","changed_gmt":"2020-06-09 15:09:11","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-09T00:00:00-04:00","iso_date":"2020-06-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636081":{"id":"636081","type":"image","title":"Frank Dellaert, a professor in the School of Interactive Computing, and affiliated with the Machine Learning Center at Georgia Tech (ML@GT) and GVU Center, has been honored with the IEEE ICRA Milestone Award at the 2020 IEEE International Conference on Ro","body":null,"created":"1591715211","gmt_created":"2020-06-09 15:06:51","changed":"1591715211","gmt_changed":"2020-06-09 15:06:51","alt":"","file":{"fid":"242027","name":"frank-dellaert2.jpeg","image_path":"\/sites\/default\/files\/images\/frank-dellaert2.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/frank-dellaert2.jpeg","mime":"image\/jpeg","size":126074,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/frank-dellaert2.jpeg?itok=Ks7F6Fyh"}}},"media_ids":["636081"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"152","name":"Robotics"}],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"636040":{"#nid":"636040","#data":{"type":"external_news","title":"Omar Asensio Receives NSF CAREER Award","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-08 19:49:50","changed_gmt":"2020-06-08 19:49:50","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"building renovations","field_article_url":"","publication_url":"https:\/\/spp.gatech.edu\/news\/item\/635726\/omar-asensio-receives-career-award","dateline":{"date":"2020-06-08T00:00:00-04:00","iso_date":"2020-06-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635991":{"#nid":"635991","#data":{"type":"external_news","title":"ML@GT to Present Diverse Research Interests at CVPR 2020","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-05 17:39:37","changed_gmt":"2020-06-05 17:39:37","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/bit.ly\/3de5hyl","dateline":{"date":"2020-06-05T00:00:00-04:00","iso_date":"2020-06-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635990":{"#nid":"635990","#data":{"type":"external_news","title":"A Personal Reflection From Dean Charles Isbell  ","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-05 17:36:06","changed_gmt":"2020-06-05 17:36:06","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"supply chain issues","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/3gFlH50","dateline":{"date":"2020-06-05T00:00:00-04:00","iso_date":"2020-06-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635989":{"#nid":"635989","#data":{"type":"external_news","title":"Predicting Hate Crimes Targeting Asian Americans Amid Covid-19 Outbreak","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-05 17:35:22","changed_gmt":"2020-06-05 17:35:22","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/635858\/predicting-hate-crimes-targeting-asian-americans-amid-covid-19-outbreak","dateline":{"date":"2020-06-05T00:00:00-04:00","iso_date":"2020-06-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635988":{"#nid":"635988","#data":{"type":"external_news","title":"Meet ML@GT: Samarth Brahmbhatt Studies How Humans Grasp Objects, Enabling Robots to Do the Same","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-05 17:34:15","changed_gmt":"2020-06-05 17:34:15","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Tokyo Smart City studio","field_article_url":"","publication_url":"https:\/\/bit.ly\/2z0qsoS","dateline":{"date":"2020-06-05T00:00:00-04:00","iso_date":"2020-06-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635987":{"#nid":"635987","#data":{"type":"external_news","title":"Team Using Deep Learning to Forecast Pandemic in the U.S.","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-05 17:32:55","changed_gmt":"2020-06-05 17:32:55","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/635849\/forecasting-covid-19-pandemic-united-states","dateline":{"date":"2020-06-05T00:00:00-04:00","iso_date":"2020-06-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635397":{"#nid":"635397","#data":{"type":"news","title":"NSF Grant to Fund Georgia Tech Research into Psychological Impact of COVID-19","body":[{"value":"\u003Cp\u003EArguably the most visible of all prescriptions to the COVID-19 pandemic this year have been guidelines or imposed restrictions commonly referred to as \u0026ldquo;social distancing.\u0026rdquo; Less physical contact, the thinking goes, means a lowered risk of viral transmission.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELike the virus itself, however, stress and anxiety stemming from overconsumption of news or other media can spread through social networks. As the mental health fallout becomes clearer, are some similar social media distancing recommendations needed to stem the flow through the online world?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA multidisciplinary team of researchers at Georgia Tech, Washington University-St. Louis, and the University of Wisconsin-Madison argue that these mental health implications of the pandemic are equally important, and \u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2027689\u0022\u003Ea new grant from the National Science Foundation (NSF) has recently funded new research to that effect\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s not just the fear and anxiety that I might get infected or I might infect or know someone who is infected,\u0026rdquo; said \u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E, an associate professor in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E and the co-principal investigator on the project. \u0026ldquo;It\u0026rsquo;s all of these things around it that are furthering the psychological impact. It\u0026rsquo;s very different from other kinds of illnesses or pandemics because of the uncertainty of the crisis. We simply don\u0026rsquo;t know how long we are into it.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe grant is funded by the NSF\u0026rsquo;s Rapid Response Project program, which is intended for research that addresses an immediate need within society. It has provided $200,000 toward the yearlong project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research will combine investigations in two separate environments: the online world, where news, personal posts, videos, and other media are shared rampantly across social networks, and the offline real world, where the epidemiological data about the spread of the virus or economic data about the financial fallout can be measured.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor the former, they will use social media data from various popular social platforms \u0026ndash; Twitter, Reddit, and YouTube \u0026ndash; to measure the spread of information and how consumers of it express themselves in terms of anxiety or fear, or what they are saying about their own psychological wellbeing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;How often are people expressing anger or fear or blaming someone through their posts?\u0026rdquo; said \u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E, an assistant professor in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E and the other co-principal investigator. \u0026ldquo;We\u0026rsquo;ll develop new classifiers using natural language processing that will help us classify social posts into two categories: either anxiety-inducing or anxiety itself.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is new territory, according to De Choudhury. Although there have been other pandemics such as the 1918 influenza epidemic, none of this magnitude have taken place during the digital\/social age. And while social media provides an important mechanism for staying informed and remaining in contact with friends and loved ones during the difficult social distancing measures, overexposure could result in negative mental health consequences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There is probably a sweet spot,\u0026rdquo; De Choudhury said. \u0026ldquo;Just like we need physical distancing in the real world, we probably need to practice distancing from social media or online information to an extent to avoid consuming too much anxiety-inducing media, while also staying informed.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If I say something, it doesn\u0026rsquo;t just affect me. It affects all the people who read my posts. If they share it or if they post something, then it affects all of their social neighbors. It can be an outward ripple that affects people. We want to measure that, how they spread through social networks.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThey\u0026rsquo;ll compare that data with the other element: the offline world. Currently, people in New York City are likely more stressed and anxious in a different way than people in Georgia. New York has been the epicenter of the viral outbreak in the United States, meaning that much of the anxiety locally stems from the virus itself.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EWill I contract the virus? Will someone I know contract the virus? Can I go to the store for groceries? How much disinfecting is required when I return home?\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnd then, you can tease out that geographical data. How are higher-income individuals stressed in comparison to lower-income? What about differences along racial lines? Data has shown higher mortality rates in African-Americans, for example, which leads to different fears than those in other communities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn U.S. cities where there is also sufficient social media data, they will examine this offline data to see rates of infection, fatalities, when shelter-in-place was imposed, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe final piece will be what they will do with this information. The goal is to create tools for social platforms to provide coping techniques or guidelines for use.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Maybe that might include encouraging you to limit the amount of time you spend on social media,\u0026rdquo; Kumar said. \u0026ldquo;Or, maybe you step out and do something with family members. Some kind of physical activity. Then we can begin to examine how people react to these messages. Do we see that their anxiety levels are coming down, or not?\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In this time, we have a very unique lens to study this pandemic in a whole new light as opposed to other events of a global scale,\u0026rdquo; De Choudhury said. \u0026ldquo;There is no guarantee this won\u0026rsquo;t come back. And even if it doesn\u0026rsquo;t, something else will. Being able to have these tools built and available will better prepare us for the future.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more coverage of Georgia Tech\u0026rsquo;s response to the coronavirus pandemic, please visit our \u003Ca href=\u0022https:\/\/helpingstories.gatech.edu\/\u0022\u003EResponding to COVID-19 page\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A multidisciplinary team of researchers has received a grant from the NSF to study the mental health outcomes of COVID-19 through examination of social media activity and geographic epidemiological data."}],"uid":"33939","created_gmt":"2020-05-15 16:40:10","changed_gmt":"2020-06-04 13:09:47","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-05-15T00:00:00-04:00","iso_date":"2020-05-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"635396":{"id":"635396","type":"image","title":"Munmun De Choudhury and Srijan Kumar","body":null,"created":"1589560736","gmt_created":"2020-05-15 16:38:56","changed":"1589560736","gmt_changed":"2020-05-15 16:38:56","alt":"Munmun De Choudhury and Srijan Kumar","file":{"fid":"241787","name":"NSF RAPID GRANT - Munmun and Srijan.png","image_path":"\/sites\/default\/files\/images\/NSF%20RAPID%20GRANT%20-%20Munmun%20and%20Srijan.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/NSF%20RAPID%20GRANT%20-%20Munmun%20and%20Srijan.png","mime":"image\/png","size":1487509,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/NSF%20RAPID%20GRANT%20-%20Munmun%20and%20Srijan.png?itok=8E8NSuCB"}}},"media_ids":["635396"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"184821","name":"cc-research; ic-hcc; ic-ai-ml; COVID-19"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"635847":{"#nid":"635847","#data":{"type":"external_news","title":"Researchers Use Machine Learning to Fight Covid-19 Disinformation","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-06-01 13:35:26","changed_gmt":"2020-06-02 14:01:35","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/635700\/researchers-use-machine-learning-fight-covid-19-disinformation","dateline":{"date":"2020-06-01T00:00:00-04:00","iso_date":"2020-06-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635593":{"#nid":"635593","#data":{"type":"news","title":"IC Students Support Innovation in India through \u0027MakerGhat\u0027","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAzra Ismail\u003C\/strong\u003E was working with health workers in Delhi, India, when she had a realization. What she saw from locals in the community was that there was an intense desire for societal impact from many workers \u0026ndash; and the ideas to go with it \u0026ndash; but an absence of resources necessary to fully realize the innovation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The experience that these health workers had in these communities provided unique perspectives and ideas that produced the kinds of ideas that could be relevant,\u0026rdquo; said Ismail, now a Ph.D. student in Georgia Tech\u0026rsquo;s \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;But because they were the lowest rung on the health infrastructure and were low income or low social class, those ideas weren\u0026rsquo;t recognized and represented.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAround the same time, \u003Ca href=\u0022http:\/\/cc.gatech.edu\u0022\u003ECollege of Computing\u003C\/a\u003E alumnus \u003Cstrong\u003EAditya Vishwanath\u003C\/strong\u003E, now a doctoral student at Stanford University, had a similar realization. He was working with Asha Mumbai, a non-profit in a low-resourced slum in India\u0026rsquo;s biggest city, using virtual reality to see how students appropriated and made sense of it. Like Ismail, he recognized a group of students who had unique viewpoints and drive, but too few resources to realize them.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKnowing how important it is to support innovation from those who understand the specific needs of a community, the two of them founded \u003Ca href=\u0022https:\/\/makerghat.org\/space\u0022\u003EMakerGhat,\u003C\/a\u003E a non-profit with the mission to take ideas from concept to creation and application where they are needed most: the communities they serve.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESituated in an impoverished neighborhood in Mumbai, MakerGhat is a community lab in which local students, young and old, can join to receive education and resources to put their ideas into practice. Makers join through subscription or scholarships if they are unable to afford membership. In exchange, they receive access to support ranging from an electronics room, a 3D printing and PC workstation, a science lab, a woodworking shop, and a design and workshop studio.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe space is intentionally unsophisticated. Enter the space, and you may find a mish-mash of supplies and painting on the walls, a far cry from the labs of the nearby Indian Institute of Technology-Bombay, one of the top technological universities in India.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We want people to be encouraged to try things and not afraid to break it,\u0026rdquo; Ismail said. \u0026ldquo;We don\u0026rsquo;t want something that people are afraid to use.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf a maker can\u0026rsquo;t find what they are looking for, they can turn to connections within the community to meet the need. Heavier equipment, for example, might require a trip to the local smith for welding.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Students coming in have family members in these other industries, so it sets up an informal infrastructure where the students know where to go for a specific need,\u0026rdquo; Ismail said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe model has resulted in a number of tangible outputs. In Summer 2019, a handful of interns from Georgia Tech, Stanford, and Smith College were able to take advantage of the Denning Global Engagement Seed Fund to fund their travel to India. Interns were there not just to teach or run the lab, but to co-learn with locals. Collaborations between the technical expertise of the interns and the locally-significant knowledge of the makers resulted in a handful of innovations that addressed local needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne collaboration resulted in a system that could compact plastic bottles to assist in a waste management challenge in Mumbai. Workers who collect waste locally and transport to recycling plants to sell to companies or government institutions face challenges transporting plastic bottles, the most common waste item, which take up a lot of space.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother created a community mapping platform to help identify local resources. Makers and interns went into the community and conducted surveys to find needs specific to different geographies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A big part of this is engaging with the community to identify needs, current status quos, and how to approach the challenge,\u0026rdquo; Ismail said. \u0026ldquo;This happens in the schools too. What are the gaps that need to be addressed, and how can we help address them?\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMakerGhat serves about 300 students weekly, ranging from young to old \u0026ndash; it is open to any age or background. Many come from STEM fields, but others may be interested in math or art or fashion design.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s a melting pot,\u0026rdquo; Ismail said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe goal is to turn MakerGhat into an incubator. As the first class of students graduates from the program, they will move on to other sources of education or work. Ismail said that she and her collaborators \u0026ndash; which includes Vishwanath, a team programmer, local leaders in finances and project resources, and a group of 10 or so volunteers \u0026ndash; want to help build companies from the ideas and innovations that formed at MakerGhat.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The mission is to actually transform these students and community members into entrepreneurs,\u0026rdquo; Ismail said. \u0026ldquo;We want to take these creations to the next level and help them scale beyond their own community.\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThat might mean launching new MakerGhat centers elsewhere. The goal is to make the model of the original open-source so that other communities can replicate \u0026ndash; in India and beyond. While it may play out different in each location depending on the community\u0026rsquo;s needs, the organizational structure would be the same.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There\u0026rsquo;s a misconception that great innovation only comes from these big tech companies or big universities,\u0026rdquo; Ismail said. \u0026ldquo;But we want to challenge that narrative. Many of the great ideas that can make significant impacts on society come from the people in these communities of need themselves.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOther members of the Georgia Tech community have contributed to the project. \u003Cstrong\u003ENeha Kumar\u003C\/strong\u003E, an assistant professor joint between the School of Interactive Computing and the Sam Nunn School of International Affiars, is an advisor. Students involved in a Makers-in-Residence program last summer were \u003Cstrong\u003ERitesh Bhatt\u003C\/strong\u003E, \u003Cstrong\u003ESolum Onwuchekwa\u003C\/strong\u003E, and \u003Cstrong\u003EJosiah Mangiameli\u003C\/strong\u003E. \u003Cstrong\u003EVishal Sharma\u003C\/strong\u003E, an incoming IC Ph.D. student, was also involved.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"MakerGhat is a local makerspace in India designed to cater specifically to low-resourced innovators."}],"uid":"33939","created_gmt":"2020-05-22 19:17:15","changed_gmt":"2020-05-22 19:17:15","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-05-22T00:00:00-04:00","iso_date":"2020-05-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"635592":{"id":"635592","type":"image","title":"MakerGhat","body":null,"created":"1590174252","gmt_created":"2020-05-22 19:04:12","changed":"1590174252","gmt_changed":"2020-05-22 19:04:12","alt":"Makers paint walls at MakerGhat in India.","file":{"fid":"241868","name":"MakerGhat.jpeg","image_path":"\/sites\/default\/files\/images\/MakerGhat.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/MakerGhat.jpeg","mime":"image\/jpeg","size":188915,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/MakerGhat.jpeg?itok=V5YPfbtN"}}},"media_ids":["635592"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/content\/researchers-work-kids-mumbai-examine-classroom-potential-virtual-reality","title":"Researchers Work with Kids in Mumbai to Examine Classroom Potential of Virtual Reality"},{"url":"https:\/\/www.cc.gatech.edu\/news\/605000\/vr-taking-students-where-once-only-ms-frizzle-and-magic-school-bus-could","title":"VR Taking Students Where Once Only Ms. Frizzle and the Magic School Bus Could"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"184890","name":"cc-research; ic-hcc"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634312":{"#nid":"634312","#data":{"type":"news","title":"Machine Learning Technique Helps Wearable Devices Get Better at Diagnosing Sleep Disorders and Quality","body":[{"value":"\u003Cp\u003EGetting diagnosed with a sleep disorder or assessing quality of sleep is an often expensive and tricky proposition, involving sleep clinics where patients are hooked up to sensors and wires for monitoring.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWearable devices, such as the Fitbit and Apple Watch, offer less intrusive and more cost-effective sleeping monitoring, but the tradeoff can be inaccurate or imprecise sleep data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers at the Georgia Institute of Technology are working to combine the accuracy of sleep clinics with the convenience of wearable computing by developing machine learning models, or smart algorithms, that provide better sleep measurement data as well as considerably faster, more energy-efficient software.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team is focusing on electrical ambient noise\u0026nbsp;that is emitted by devices but that is often not audible and can interfere with sleep sensors on a wearable gadget. Leave the TV on at night, and the electrical signal - not the infomercial in the background - might mess with your sleep tracker.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/news\/616715\/new-deep-learning-approach-improves-access-sleep-diagnostic-testing\u0022\u003E[Related News:\u0026nbsp;New Deep Learning Approach Improves Access to Sleep Diagnostic Testing]\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese additional electrical signals are problematic for wearable devices that typically have only one sensor to measure a single biometric data point, normally heart rate. A device picking up signals from ambient electrical noise skews the data and leads to potentially misleading results.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We are building a new process to help train [machine learning] models to be used for the home environment and help address this and other issues around sleep,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003EScott Freitas\u003C\/strong\u003E, a second-year machine learning Ph.D. student and co-lead author of a newly published\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2001.11363.pdf\u0022 target=\u0022_blank\u0022\u003Epaper\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team employed adversarial training in tandem with spectral regularization, a technique that makes neural networks more robust to electrical signals in the input data. This means that the system can accurately assess sleep stages even when an EEG signal is corrupted by additional signals like a TV or washing machine.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing machine-learning methods such as sparsity regularization, the new model can also compress the amount of time it takes to gather and analyze data, as well as increase energy efficiency of the wearable device.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe researchers are testing with a product worn on the head but hope to also integrate it into smartwatches and bracelets. Results would then be transmitted to a person\u0026rsquo;s doctor to analyze and provide a diagnosis. This could result in fewer visits to the doctor, reducing the cost, time, and stress involved with receiving a sleep disorder diagnosis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother issue that the researchers are looking at is reducing the\u0026nbsp;amount\u0026nbsp;of sensors needed to accurately track sleep.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;When someone visits a sleep clinic, they are hooked up to all kinds of monitors and wires to gather data ranging from brain activity on EEG\u0026rsquo;s, heart rate, and more. Wearable tech only monitors heart rate with one sensor. The one sensor is more ideal and comfortable, so we are looking for a way to get more data without adding more wires or sensors,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ERahul Duggal\u003C\/strong\u003E, a second-year computer science Ph.D. student and co-lead author.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team\u0026rsquo;s work is published in the paper\u0026nbsp;\u003Cem\u003EREST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild\u003C\/em\u003E,\u0026nbsp;accepted to the\u0026nbsp;\u003Ca href=\u0022https:\/\/www2020.thewebconf.org\/\u0022 target=\u0022_blank\u0022\u003EInternational World Wide Web Conference\u0026nbsp;(WWW)\u003C\/a\u003E, scheduled to take place April 20 through 24 in Taipei, Taiwan.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT researchers are improving the accuracy and efficiency of devices used to track sleeping using machine learning techniques."}],"uid":"34773","created_gmt":"2020-04-13 17:47:08","changed_gmt":"2020-05-21 13:30:25","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-15T00:00:00-04:00","iso_date":"2020-04-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634311":{"id":"634311","type":"image","title":"ML@GT researchers are improving the accuracy and efficiency of devices used to track sleeping using machine learning techniques.","body":null,"created":"1586799743","gmt_created":"2020-04-13 17:42:23","changed":"1586799743","gmt_changed":"2020-04-13 17:42:23","alt":"woman sleeping","file":{"fid":"241370","name":"kinga-cichewicz-5NzOfwXoH88-unsplash.jpg","image_path":"\/sites\/default\/files\/images\/kinga-cichewicz-5NzOfwXoH88-unsplash.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/kinga-cichewicz-5NzOfwXoH88-unsplash.jpg","mime":"image\/jpeg","size":770009,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/kinga-cichewicz-5NzOfwXoH88-unsplash.jpg?itok=hU7kSCg6"}}},"media_ids":["634311"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"1299","name":"GVU Center"}],"categories":[],"keywords":[{"id":"184463","name":"sleep tracking"},{"id":"9167","name":"machine learning"},{"id":"2556","name":"artificial intelligence"},{"id":"365","name":"Research"}],"core_research_areas":[{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"635528":{"#nid":"635528","#data":{"type":"external_news","title":"Working towards explainable and data-efficient machine learning models via symbolic reasoning","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-05-20 15:41:29","changed_gmt":"2020-05-20 15:41:29","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"anti-black","field_article_url":"","publication_url":"https:\/\/aihub.org\/2020\/05\/20\/working-towards-explainable-and-data-efficient-machine-learning-models-via-symbolic-reasoning\/","dateline":{"date":"2020-05-20T00:00:00-04:00","iso_date":"2020-05-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634175":{"#nid":"634175","#data":{"type":"news","title":"Four Machine Learning Faculty Members Earn Promotions and Tenure","body":[{"value":"\u003Cp\u003EFour faculty members at the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech\u003C\/a\u003E have received promotions or been granted tenure.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EJake Abernethy\u003C\/strong\u003E has been promoted to associate professor in the \u003Ca href=\u0022https:\/\/scs.gatech.edu\/\u0022\u003ESchool of Computer Science\u003C\/a\u003E and granted tenure. Abernethy\u0026rsquo;s research focus is machine learning, where he enjoys discovering connections between optimization, statistics, and economics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn 2011, he completed his Ph.D. at the University of California, Berkeley before becoming a Simons postdoctoral fellow for the following two years. After the water crisis in Flint, Mich., Abernethy worked on \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~jabernethy9\/flint\/\u0022\u003Edetecting lead contamination and infrastructure remediation\u003C\/a\u003E. Prior to studying and teaching machine learning, Abernethy performed comedy and juggling shows, opening for Sinbad and Dave Chappelle.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E has been promoted to associate professor in the\u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022\u003E School of Interactive Computing\u003C\/a\u003E and granted tenure. De Choudhury is also affiliated with the \u003Ca href=\u0022http:\/\/gvu.gatech.edu\/\u0022\u003EGVU\u003C\/a\u003E Center and \u003Ca href=\u0022http:\/\/ipat.gatech.edu\/\u0022\u003EInstitute for People and Technology (IPaT)\u003C\/a\u003E and leads the \u003Ca href=\u0022http:\/\/socweb.cc.gatech.edu\/\u0022\u003ESocial Dynamics and Wellbeing Lab (SocWeb Lab.)\u003C\/a\u003E De Choudhury studies problems at the intersection of computer science and social media, building computational methods and artefacts to help understand human behaviors and psychological states and how they manifest online.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrior to joining Georgia Tech in 2014, De Choudhury was a postdoctoral researcher in the nexus group at Microsoft Research, Redmond. In 2011, she received her Ph.D. from Arizona State University, Tempe. After graduate school, De Choudhury spent time at Rutgers University and was a faculty associate with the Berkman Center for Internet and Society at Harvard University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EYajun Mei\u003C\/strong\u003E has been promoted to professor in the \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/\u0022\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/a\u003E. Mei\u0026#39;s research interests include change-point problems and sequential analysis in mathematical statistics and sensor networks and information theory in engineering. Mei also examines longitudinal data analysis, random effects models, and clinical trials in biostatistics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMei received his Ph.D. in mathematics from the California Institute of Technology in 2003. He has also worked as a postdoc in biostatistics at the Fred Hutchinson Cancer Research Center. In 2010, Mei was awarded the National Science Foundation (NSF) CAREER Award and in 2008 was awarded Best Paper at FUSION. Mei was awarded the prestigious Abraham Wald Prize in Sequential Analysis in 2009.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAlex Endert \u003C\/strong\u003Ehas been promoted to associate professor and granted tenure in the School of Interactive Computing. Endert directs the \u003Ca href=\u0022https:\/\/gtvalab.github.io\/\u0022\u003EVisual Analytics Lab\u003C\/a\u003E where he and his students apply fundamental research to\u0026nbsp;domains including text analysis, intelligence analysis, cybersecurity, and decision-making, and explore novel user interaction techniques for visual analytics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEndert earned his Ph.D. from Virginia Tech in 2012, and in 2013 his work on Semantic Interaction was awarded the IEEE VGTC VPG Pioneers Group Doctoral Dissertation Award, and the Virginia Tech Computer Science Best Dissertation Award. In 2018, Endert received the NSF CAREER Award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEditors Note:\u0026nbsp;\u003Cstrong\u003EMolei Tao\u003C\/strong\u003E\u0026nbsp;has been promoted to associate professor with tenure in the School of Math. Tao is an applied and computational mathematician, designing algorithms for faster and more accurate computations and developing mathematical tools to analyze and design engineering systems or answer scientific questions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe earned his Ph.D. in control and dynamical systems with a minor in physics from the California Institute of Technolgy where he also worked as a postdoctoral researcher. He is the 2011 recipient of the W.P. Carey Ph.D. Prize in Applied Mathematics and a 2019 NSF CAREER Award.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Four faculty members at the Machine Learning Center at Georgia Tech have received promotions or been granted tenure."}],"uid":"34773","created_gmt":"2020-04-08 17:37:17","changed_gmt":"2020-05-11 18:57:34","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-08T00:00:00-04:00","iso_date":"2020-04-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634173":{"id":"634173","type":"image","title":"Four ML@GT faculty members earn promotions and tenure","body":null,"created":"1586367276","gmt_created":"2020-04-08 17:34:36","changed":"1586367276","gmt_changed":"2020-04-08 17:34:36","alt":"Congratulations Alex, Jake, Munmun, and Yajun","file":{"fid":"241321","name":"Spring 2020 ML Promotions.png","image_path":"\/sites\/default\/files\/images\/Spring%202020%20ML%20Promotions.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Spring%202020%20ML%20Promotions.png","mime":"image\/png","size":440694,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Spring%202020%20ML%20Promotions.png?itok=frxxuWzs"}}},"media_ids":["634173"],"groups":[{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"635210":{"#nid":"635210","#data":{"type":"external_news","title":"Machine Learning Method Amplifies \u0027Voice of the People\u0027 to Model Workplace Culture","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-05-08 13:07:51","changed_gmt":"2020-05-08 13:07:51","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/634899\/machine-learning-method-amplifies-voice-people-model-workplace-culture","dateline":{"date":"2020-05-08T00:00:00-04:00","iso_date":"2020-05-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"589608","name":"Machine Learning"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635209":{"#nid":"635209","#data":{"type":"external_news","title":"The Student Center Celebrates 50 Years","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-05-08 13:07:06","changed_gmt":"2020-05-08 13:07:06","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Professional Master\u0027s in public safety and occupational health","field_article_url":"","publication_url":"https:\/\/www.ece.gatech.edu\/news\/634992\/student-center-celebrates-50-years","dateline":{"date":"2020-05-08T00:00:00-04:00","iso_date":"2020-05-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"589608","name":"Machine Learning"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"635208":{"#nid":"635208","#data":{"type":"news","title":"Social Media and Wellbeing: Does Bias in Self-Reported Data Impact Research?","body":[{"value":"\u003Cp\u003EAlong with the development of each new technological platform comes a series of questions designed to understand its ultimate impact on users\u0026rsquo; wellbeing or performance. It\u0026rsquo;s like clockwork.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EDoes watching too much television rot your child\u0026rsquo;s brain? How much is too much when it comes to video games? Is our time spent on social media impacting our mental health?\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese are all important questions, but how they are asked matters to the ultimate conclusions we can draw. It is well-established that the most commonly used method in this area of research \u0026ndash; user self-reports and survey questions \u0026ndash; are prone to error. Now, new research from collaborators at Georgia Tech, Facebook, and the University of Michigan have shed light on the nature of error \u0026ndash; that is to say whether user over or underestimate their data, who and which questions are more prone to error, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EError in the data, said \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E Ph.D. student\u0026nbsp;\u003Cstrong\u003ESindhu Ernala\u003C\/strong\u003E, can impact the inferences drawn from the data itself.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We know survey questions have several well-documented biases,\u0026rdquo; Ernala said. \u0026ldquo;People may not remember correctly. They can\u0026rsquo;t keep up with their time. They remember recent things more accurately than those further in the past. All of this matters because error in measurement might impact the downstream inferences we make. Accurate assessments of social media use is critical because of the everyday impact it has on people\u0026rsquo;s lives.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIndeed, Ernala and her collaborators found that these biases held up in many surveys. In a paper accepted to the \u003Ca href=\u0022http:\/\/chi.gatech.edu\u0022\u003E2020 ACM Conference on Human Factors in Computing\u003C\/a\u003E (CHI), they picked 10 of the most common survey questions in prior literature that investigate time spent on Facebook. The questions were asked in a variety of ways: open ended or multiple choice, the frequency of visits or the total time spent. They asked these 10 questions in a survey to 50,000 random users in 15 countries around the world.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith self-reported data in hand, they compared it to the actual server logs at Facebook to see how it stacked up. Interestingly, people most often overestimated the time they spent on the platform and underestimated the number of times they visited. Specifically, in the 18-24 demographic, a common age range for research done at universities, there was even more error in self-reports.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is important, because a lot of our research is done with these age samples,\u0026rdquo; Ernala said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith this information in mind, the researchers made a handful of recommendation in order to improve the data and, thus, the research around the data itself:\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003EAs a researcher, if you are investigating time spent, consider using time tracking applications as an alternative to self-report time spent measures. These applications include things like Apple\u0026rsquo;s screen time feature or Facebook\u0026rsquo;s \u0026ldquo;Your Time on Facebook.\u0026rdquo;\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EIf researchers want to use surveys, which often makes sense, consider using the phrasing with the lowest error or multiple-choice questions.\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003EThe researchers caution against using time spent self-reports directly, but rather interpret reports as noisy estimates of where someone falls on a distribution. More important when determining wellbeing outcomes is\u0026nbsp;\u003Cem\u003Ehow\u003C\/em\u003E\u0026nbsp;users actually spend their time on the platform.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Social platforms change and user habits change over time,\u0026rdquo; Ernala said. \u0026ldquo;The questions now might not be the best questions five or 10 years from now. This is fluid, and we need to continue to look at this to make sure our past and future research is well-informed.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe and her collaborators hope to contribute positively to this ongoing process by providing some validated measures that can be used across studies, while understanding that these methods may change over time as user habits transform.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Error in the data, said School of Interactive Computing Ph.D. student\u00a0Sindhu Ernala, can impact the inferences drawn from the data itself."}],"uid":"33939","created_gmt":"2020-05-08 08:36:27","changed_gmt":"2020-05-08 08:36:27","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-05-08T00:00:00-04:00","iso_date":"2020-05-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"624519":{"id":"624519","type":"image","title":"Social Media Logos","body":null,"created":"1565805908","gmt_created":"2019-08-14 18:05:08","changed":"1565805908","gmt_changed":"2019-08-14 18:05:08","alt":"A keyboard featuring different social media logos","file":{"fid":"237806","name":"Social Media logos.jpg","image_path":"\/sites\/default\/files\/images\/Social%20Media%20logos.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Social%20Media%20logos.jpg","mime":"image\/jpeg","size":215846,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Social%20Media%20logos.jpg?itok=G7qWkSGs"}}},"media_ids":["624519"],"related_links":[{"url":"http:\/\/chi.gatech.edu","title":"CHI 2020 at Georgia Tech"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"182508","name":"cc-research; ic-hcc; ic-social-computing"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634980":{"#nid":"634980","#data":{"type":"external_news","title":"Interactive Tool Helps People See Why Staying Home Matters During a Pandemic","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-05-04 13:20:38","changed_gmt":"2020-05-04 13:20:38","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Professional Master\u0027s in public safety and occupational health","field_article_url":"","publication_url":"https:\/\/www.scs.gatech.edu\/news\/634615\/interactive-tool-helps-people-see-why-staying-home-matters-during-pandemic","dateline":{"date":"2020-05-04T00:00:00-04:00","iso_date":"2020-05-04T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634979":{"#nid":"634979","#data":{"type":"external_news","title":"Three Faculty Members Promoted in School of Computer Science","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-05-04 13:19:41","changed_gmt":"2020-05-04 13:19:41","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.scs.gatech.edu\/news\/634918\/three-faculty-members-promoted-school-computer-science","dateline":{"date":"2020-05-04T00:00:00-04:00","iso_date":"2020-05-04T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634978":{"#nid":"634978","#data":{"type":"external_news","title":"SCS Ph.D. Student is at the Forefront of Emerging Memory Systems Research","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-05-04 13:18:20","changed_gmt":"2020-05-04 13:18:20","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.scs.gatech.edu\/news\/634916\/scs-phd-student-forefront-emerging-memory-systems-research","dateline":{"date":"2020-05-04T00:00:00-04:00","iso_date":"2020-05-04T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634889":{"#nid":"634889","#data":{"type":"news","title":"Topliff, Truong Tapped for 2020 NDSEG Fellowships","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ECharles Topliff\u003C\/strong\u003E and \u003Cstrong\u003EJoanne Truong\u003C\/strong\u003E have been named as recipients of the 2020 \u003Ca href=\u0022https:\/\/ndseg.asee.org\/ndseg_fellows\u0022\u003ENational Defense Science and Engineering Graduate (NDSEG) Fellowships\u003C\/a\u003E. They are both Ph.D. students in the Georgia Tech \u003Ca href=\u0022https:\/\/www.ece.gatech.edu\/\u0022\u003ESchool of Electrical and Computer Engineering (ECE)\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe NDSEG Fellowships are funded by the U.S. Department of Defense (DoD), through the Office of the Under Secretary for Research and Engineering and the military services, to promote education in science and engineering disciplines relevant to the DoD mission.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETopliff is a second year ECE Ph.D. student in the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003Emachine learning program\u003C\/a\u003E. He is co-advised by ECE Associate Professors \u003Cstrong\u003EMorris Cohen\u003C\/strong\u003E and \u003Cstrong\u003EMark\u0026nbsp;Davenport\u003C\/strong\u003E. Topliff\u0026rsquo;s research is focused on\u0026nbsp;time series forecasting using modern machine learning techniques. He is also interested in explainability in machine learning.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor many applications in time series forecasting, it isn\u0026rsquo;t enough to just improve predictive capabilities. As an example, Topliff wants to know when solar flares can be expected to influence the power grid and what can done to prepare. However, it would be difficult to convince anyone to make decisions without explainability. Having a strong understanding of why Topliff\u0026rsquo;s models produce forecasts that necessitate action will provide guidance for authorities in their decision making.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETruong is a first year ECE Ph.D. student in the robotics program. She is co-advised by \u003Cstrong\u003ESonia Chernova\u003C\/strong\u003E and \u003Cstrong\u003EDhruv Batra\u003C\/strong\u003E, who are associate professors in the \u003Ca href=\u0022https:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E and the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center\u003C\/a\u003E.\u0026nbsp;Truong\u0026rsquo;s long-term research goal is to allow robots to intelligently interact with humans in complex environments to improve quality of life. She\u0026nbsp;hopes to develop techniques to enable the transfer of robot skills learned in simulation to a real robotic system.\u0026nbsp;This is important because working in simulation presents many benefits: it\u0026rsquo;s often cheaper, faster, and safer than working on a real robot. However, it\u0026rsquo;s non-trivial to transfer this learned knowledge onto a real robot, as many inconsistencies and differences exist between the simulation platform and the real world.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETruong hopes to develop generalization techniques to bridge the gap between simulation and reality so that robotics developments can be done by more artificial intelligence researchers\/students \u0026ndash; even those who don\u0026rsquo;t have access to the physical hardware, which will help to accelerate robotics research.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EECE Ph.D. students\u0026nbsp;Charles Topliff and Joanne Truong have been named as recipients of the 2020 National Defense Science and Engineering Graduate (NDSEG) Fellowships.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"ECE Ph.D. students\u00a0Charles Topliff and Joanne Truong have been named as recipients of the 2020 National Defense Science and Engineering Graduate (NDSEG) Fellowships. "}],"uid":"34773","created_gmt":"2020-04-30 15:07:40","changed_gmt":"2020-04-30 15:16:50","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-29T00:00:00-04:00","iso_date":"2020-04-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634873":{"id":"634873","type":"image","title":"Charles Topliff and Joanne Truong","body":null,"created":"1588197191","gmt_created":"2020-04-29 21:53:11","changed":"1588197191","gmt_changed":"2020-04-29 21:53:11","alt":"photograph of Charles Topliff and Joanne Truong, 2020 NDSEG Fellows","file":{"fid":"241606","name":"Topliff and Truong - 2020 NDSEG Fellows.png","image_path":"\/sites\/default\/files\/images\/Topliff%20and%20Truong%20-%202020%20NDSEG%20Fellows.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Topliff%20and%20Truong%20-%202020%20NDSEG%20Fellows.png","mime":"image\/png","size":1731683,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Topliff%20and%20Truong%20-%202020%20NDSEG%20Fellows.png?itok=_m5Qk5ae"}}},"media_ids":["634873"],"related_links":[{"url":"http:\/\/www.ece.gatech.edu","title":"School of Electrical and Computer Engineering"},{"url":"http:\/\/www.ic.gatech.edu","title":"School of Interactive Computing"},{"url":"http:\/\/www.gatech.edu","title":"Georgia Tech"},{"url":"https:\/\/ndseg.sysplus.com","title":"National Defense Science and Engineering Graduate Fellowships"}],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"144","name":"Energy"},{"id":"145","name":"Engineering"},{"id":"152","name":"Robotics"}],"keywords":[{"id":"184694","name":"Charles Topliff"},{"id":"184511","name":"Joanne Truong"},{"id":"1808","name":"graduate students"},{"id":"184695","name":"National Defense Science and Engineering Graduate (NDSEG) Fellowships"},{"id":"166855","name":"School of Electrical and Computer Engineering"},{"id":"166848","name":"School of Interactive Computing"},{"id":"109","name":"Georgia Tech"},{"id":"180043","name":"U.S. Department of Defense"},{"id":"9167","name":"machine learning"},{"id":"667","name":"robotics"},{"id":"83321","name":"Mark Davenport"},{"id":"171619","name":"Morris Cohen"},{"id":"169047","name":"Sonia Chernova"},{"id":"173615","name":"dhruv batra"},{"id":"184696","name":"time series forecasting"},{"id":"184697","name":"explainability"},{"id":"175381","name":"power grid"},{"id":"184698","name":"solar flares"},{"id":"169956","name":"robot-human interaction"},{"id":"184699","name":"robotic simulations"},{"id":"184700","name":"generalization techniques"},{"id":"2556","name":"artificial intelligence"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39531","name":"Energy and Sustainable Infrastructure"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJackie Nemeth\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E404-894-2906\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jackie.nemeth@ece.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"634879":{"#nid":"634879","#data":{"type":"external_news","title":"Howard Receives Georgia Tech\u0027s Outstanding Achievement in Research Innovation Award","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-30 13:05:23","changed_gmt":"2020-04-30 13:05:23","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/634833\/school-chair-among-2020-institute-research-award-winners","dateline":{"date":"2020-04-30T00:00:00-04:00","iso_date":"2020-04-30T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634592":{"#nid":"634592","#data":{"type":"external_news","title":"Machine learning technique helps wearable devices get better at diagnosing sleep disorders and quality","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-21 13:23:06","changed_gmt":"2020-04-21 13:23:06","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"anti-black","field_article_url":"","publication_url":"https:\/\/aihub.org\/2020\/04\/21\/machine-learning-technique-helps-wearable-devices-get-better-at-diagnosing-sleep-disorders-and-quality\/","dateline":{"date":"2020-04-21T00:00:00-04:00","iso_date":"2020-04-21T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634486":{"#nid":"634486","#data":{"type":"news","title":"Ph.D. Students Named 2020 Members of NSF Graduate Research Fellowship Program","body":[{"value":"\u003Cp\u003EA pair of\u0026nbsp;\u003Ca href=\u0022http:\/\/ic.gatech.edu\/\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E\u0026nbsp;and \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT\u003C\/a\u003E) students were selected as 2020 members of the \u003Ca href=\u0022https:\/\/www.nsfgrfp.org\/\u0022\u003ENational Science Foundation Graduate Research Fellowship Program\u003C\/a\u003E\u0026nbsp;(NSF GRFP).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFirst-year Ph.D. students\u0026nbsp;\u003Cstrong\u003EDaniel Bolya\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EJoanne Truong\u003C\/strong\u003E\u0026nbsp;were recognized by the program, which supports graduate students pursuing research-based Masters and doctoral degrees at United States institutions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe NSF GRFP provides financial support for three years, comprised of a $34,000 stipend per 12-month fellowship year, as well as a direct payment of $12,000 to Georgia Tech toward the cost of education for each of the three years of fellowship funding.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdvised by assistant professor\u0026nbsp;\u003Cstrong\u003EJudy Hoffman\u003C\/strong\u003E, Bolya\u0026nbsp;works with machine learning and computer vision. Recent work at Georgia Tech has focused on error profiling in instance segmentation and object detection models. His method, building upon previous work at MIT, is unique in that it captures all possible sources of error in a model, while properly weighing the importance of each. He plans to continue the pursuit of faster methods of instance segmentation that can he make accessible. Current methods are not practical for many applications due to limits in speed, accuracy, and data efficiency. His research addresses this challenge.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is not just about computer vision,\u0026rdquo; he said in his research statement. \u0026ldquo;Improving instance segmentation would impact the tech we use every day.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELike his work at MIT, called YOLACT, he plans to fully release the project open source once it is ready.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETruong\u0026rsquo;s long-term research goal is to develop robots that can see, talk, reason, and act in complex human environments. Specifically, she will focus on a method called \u0026ldquo;sim2robot transfer,\u0026rdquo; which develops efficient domain adaptation techniques to enable pre-training of AI agents in simulators.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The overall goals of my research plan are to, one, break down the possible errors in simulation-to-reality transfer that result in a reality gap, and, two, close the loop between simulation and reality by using data collected on a real robot to finetune and optimize parameters in simulation,\u0026rdquo; said Truong, who is co-advised\u0026nbsp;by associate professors\u0026nbsp;\u003Cstrong\u003EDhruv Batra\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003ESonia Chernova\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe worked on the first goal last fall, achieving optimization in simulator settings for sim2real predictivity. Currently, she is working on the second goal, developing domain adaptation techniques to enable low-shop adaptation between simulation and reality.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The NSF GRFP provides financial support for three years, comprised of a $34,000 stipend per 12-month fellowship year, as well as a direct payment of $12,000 to Georgia Tech toward the cost of education for each of the three years of fellowship funding."}],"uid":"34773","created_gmt":"2020-04-17 17:42:40","changed_gmt":"2020-04-17 17:42:50","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-17T00:00:00-04:00","iso_date":"2020-04-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634467":{"id":"634467","type":"image","title":"Daniel Bolya and Joanne Truong","body":null,"created":"1587067147","gmt_created":"2020-04-16 19:59:07","changed":"1587067147","gmt_changed":"2020-04-16 19:59:07","alt":"Daniel Bolya and Joanne Truong","file":{"fid":"241446","name":"Joanne and Daniel.png","image_path":"\/sites\/default\/files\/images\/Joanne%20and%20Daniel.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Joanne%20and%20Daniel.png","mime":"image\/png","size":1176810,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Joanne%20and%20Daniel.png?itok=SNMuNKXd"}}},"media_ids":["634467"],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634469":{"#nid":"634469","#data":{"type":"news","title":"IC Ph.D. Students Named 2020 Members of NSF Graduate Research Fellowship Program","body":[{"value":"\u003Cp\u003EA pair of \u003Ca href=\u0022http:\/\/ic.gatech.edu\u0022\u003ESchool of Interactive Computing\u003C\/a\u003E students was selected as 2020 members of the N\u003Ca href=\u0022https:\/\/www.nsfgrfp.org\/\u0022\u003Eational Science Foundation Graduate Research Fellowship Program\u003C\/a\u003E (NSF GRFP).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFirst-year Ph.D. students \u003Cstrong\u003EDaniel Bolya\u003C\/strong\u003E (advised by \u003Cstrong\u003EJudy Hoffman\u003C\/strong\u003E) and \u003Cstrong\u003EJoanne Truong\u003C\/strong\u003E (advised by \u003Cstrong\u003EDhruv Batra\u003C\/strong\u003E and \u003Cstrong\u003ESonia Chernova\u003C\/strong\u003E) were recognized by the program, which supports graduate students pursuing research-based Master\u0026rsquo;s and doctoral degrees at United States institutions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe NSF GRFP provides financial support for three years, comprised of a $34,000 stipend per 12-month fellowship year, as well as a direct payment of $12,000 to Georgia Tech toward the cost of education for each of the three years of fellowship funding.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBolya\u0026rsquo;s work is in machine learning and computer vision. Recent work at Georgia Tech has focused on error profiling in instance segmentation and object detection models. His method, building upon previous work at MIT, is unique in that it captures all possible sources of error in a model, while properly weighing the importance of each. He plans to continue pursuit of faster methods of instance segmentation that can he make accessible. Current methods are not practical for many applications due to limits in speed, accuracy, and data efficiency. His research addresses this challenge.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is not just about computer vision,\u0026rdquo; he said in his research statement. \u0026ldquo;Improving instance segmentation would impact the tech we use every day.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELike his work at MIT, called YOLACT, he plans to fully release the project open source once it is ready.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETruong\u0026rsquo;s long-term research goal is to develop robots that can see, talk, reason, and act in complex human environments. Specifically, she will focus on a method called \u0026ldquo;sim2robot transfer,\u0026rdquo; which develops efficient domain adaptation techniques to enable pre-training of AI agents in simulators while ensuring that the learned skills generalize to a real robotic platform.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The overall goals of my research plan are to, one, break down the possible errors in simulation-to-reality transfer that result in a reality gap, and, two, close the loop between simulation and reality by using data collected on a real robot to finetune and optimize parameters in simulation,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe worked on the first goal last fall, achieving optimization in simulator settings for sim2real predictivity. Currently, she is working on the second goal, developing domain adaptation techniques to enable low-shop adaptation between simulation and reality.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The NSF GRFP provides financial support for three years, comprised of a $34,000 stipend per 12-month fellowship year, as well as a direct payment of $12,000 to Georgia Tech toward the cost of education for each of the three years of fellowship funding."}],"uid":"33939","created_gmt":"2020-04-16 20:02:46","changed_gmt":"2020-04-16 20:02:46","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-15T00:00:00-04:00","iso_date":"2020-04-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"634467":{"id":"634467","type":"image","title":"Daniel Bolya and Joanne Truong","body":null,"created":"1587067147","gmt_created":"2020-04-16 19:59:07","changed":"1587067147","gmt_changed":"2020-04-16 19:59:07","alt":"Daniel Bolya and Joanne Truong","file":{"fid":"241446","name":"Joanne and Daniel.png","image_path":"\/sites\/default\/files\/images\/Joanne%20and%20Daniel.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Joanne%20and%20Daniel.png","mime":"image\/png","size":1176810,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Joanne%20and%20Daniel.png?itok=SNMuNKXd"}}},"media_ids":["634467"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"181639","name":"cc-research; ic-ai-ml"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634460":{"#nid":"634460","#data":{"type":"external_news","title":"Chao Zhang Wins Google Faculty Research Award","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-16 19:15:56","changed_gmt":"2020-04-16 19:15:56","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/www.cc.gatech.edu\/news\/634457\/chao-zhang-wins-google-faculty-research-award","dateline":{"date":"2020-04-16T00:00:00-04:00","iso_date":"2020-04-16T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634438":{"#nid":"634438","#data":{"type":"external_news","title":"Meet ML@GT: Lara J. Martin Trains AI Agents to Become Storytellers","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-16 13:46:41","changed_gmt":"2020-04-16 13:46:41","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Tokyo Smart City studio","field_article_url":"","publication_url":"https:\/\/bit.ly\/2Ve23ob","dateline":{"date":"2020-04-16T00:00:00-04:00","iso_date":"2020-04-16T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634296":{"#nid":"634296","#data":{"type":"external_news","title":"Georgia Tech Researchers Presenting Work Virtually at Top AI Conference Due to COVID-19","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-13 13:19:50","changed_gmt":"2020-04-13 13:19:50","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"http:\/\/bit.ly\/ICLR2020","dateline":{"date":"2020-04-13T00:00:00-04:00","iso_date":"2020-04-13T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634254":{"#nid":"634254","#data":{"type":"external_news","title":"Georgia Tech and Intel Awarded Multimillion-Dollar Program to Defend Against Attacks on AI","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-10 13:43:11","changed_gmt":"2020-04-10 13:43:11","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"https:\/\/b.gatech.edu\/34sQzzO","dateline":{"date":"2020-04-10T00:00:00-04:00","iso_date":"2020-04-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634130":{"#nid":"634130","#data":{"type":"external_news","title":"Working Towards Explainable and Data-efficient Machine Learning Models via Symbolic Reasoning","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"34773","created_gmt":"2020-04-07 13:04:51","changed_gmt":"2020-04-07 13:04:51","author":"ablinder6","boilerplate_text":"","field_publication":"","publication":"Tokyo Smart City studio","field_article_url":"","publication_url":"https:\/\/bit.ly\/2JKxL5S","dateline":{"date":"2020-04-07T00:00:00-04:00","iso_date":"2020-04-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"37041","name":"Computational Science and Engineering"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"634055":{"#nid":"634055","#data":{"type":"news","title":"Looking for Activities at Home? Try These Interactive Tools from IC Researchers","body":[{"value":"\u003Cp\u003EThe world is on lockdown right now, and we\u0026rsquo;re all searching for new ways to occupy our time inside. With only so many times you can re-watch The Office (oh, who are we kidding \u0026ndash; maybe just one more time through\u0026hellip;), we thought it would be fun to share some of the interactive tools from our own researchers\u0026rsquo; workshops.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBelow, you\u0026rsquo;ll find just a couple of the tools you can interact with online, giving you opportunities from learning how to code to creating art. But this is only just a start \u0026ndash; we\u0026rsquo;d love to hear from you.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you\u0026rsquo;re a Georgia Tech student or faculty member, submit your interactive tools to communications officer David Mitchell at \u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E. We\u0026rsquo;ll add to the list, share with our audience, and help everyone find some enjoyment during a difficult time.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECreate Your Own Generative Art Pieces \u0026ndash; \u003C\/strong\u003Esubmitted by Devi Parikh\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELooking for a new piece of art for your wall? With this tool, you can flex your creative muscles. Choose a style, adjust the values, colors, and properties, and generate a piece that would fit in nicely in your home.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis work demonstrates a broader area of research into machine learning and creativity. The first piece of AI-generated art to go to auction sold for $432,500 in 2018.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELINK: \u003C\/strong\u003E\u003Ca href=\u0022https:\/\/cc.gatech.edu\/~parikh\/art.html\u0022\u003Ehttps:\/\/cc.gatech.edu\/~parikh\/art.html\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EInteract with Visual Chatbot \u003C\/strong\u003E\u0026ndash; submitted by Devi Parikh\u003C\/p\u003E\r\n\r\n\u003Cp\u003EParikh\u0026rsquo;s lab is doing research in an area called visual question answering. Developed in 2017, this demo allows you to upload an image and have a conversation with a chatbot about it. Pick out an image you\u0026rsquo;ve taken or just grab one from the web and ask questions to see just how quickly and accurately this AI can perform the task. This research is key to developing agents that can reason about specific tasks in the real world.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELINK: \u003C\/strong\u003E\u003Ca href=\u0022http:\/\/demo-visualdialog.cloudcv.org\/\u0022\u003Ehttp:\/\/demo-visualdialog.cloudcv.org\/\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELearn to Code Using EarSketch and TunePad\u003C\/strong\u003E \u0026ndash; submitted by Brian Magerko\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHave you been dying to learn how to code? There\u0026rsquo;s no time like the present. Without the benefit of a classroom setting to learn all the ins and outs, you might find a usable tool like EarSketch beneficial. EarSketch uses music to guide the learner. With sounds from the EarSketch library or your own uploads, along with Python or JavaScript to code, you can produce quality music online.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELike EarSketch, TunePad \u0026ndash; developed in collaboration with Northwestern University \u0026ndash; is a tool for creating music using the Python programming language. No knowledge in music or coding is required to get started. Get those musical juices flowing, and start creating.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELINK: \u003C\/strong\u003E\u003Ca href=\u0022http:\/\/earsketch.gatech.edu\/\u0022\u003Eearsketch.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELearn About Grasping Tasks Using this Online Tool \u003C\/strong\u003E\u0026ndash; submitted by Samarth Brahmbhatt\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis tool allows people to interactively explore how we grasp household objects. So, why is this important? Grasping is a key capability in the development of household robotics. In order to train robots how to grab and use items in the house, we need to identify the most efficient approach. Explore this tool, which includes items from an apple to a doorknob to a video game controller.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELINK: \u003C\/strong\u003E\u003Ca href=\u0022https:\/\/contactdb.cc.gatech.edu\/contactdb_explorer.html\u0022\u003Ehttps:\/\/contactdb.cc.gatech.edu\/contactdb_explorer.html\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"These are just a couple of the tools you can interact with online, giving you opportunities from learning how to code to creating art."}],"uid":"33939","created_gmt":"2020-04-04 00:00:47","changed_gmt":"2020-04-04 00:00:47","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-03T00:00:00-04:00","iso_date":"2020-04-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"444971":{"id":"444971","type":"image","title":"EarSketch","body":null,"created":"1449256205","gmt_created":"2015-12-04 19:10:05","changed":"1475895184","gmt_changed":"2016-10-08 02:53:04","alt":"EarSketch","file":{"fid":"203156","name":"static1.squarespace.png","image_path":"\/sites\/default\/files\/images\/static1.squarespace_0.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/static1.squarespace_0.png","mime":"image\/png","size":411122,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/static1.squarespace_0.png?itok=lWrzDShH"}}},"media_ids":["444971"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"182940","name":"cc-research; ic-ai-ml; ic-robotics; ic-hcc"}],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633985":{"#nid":"633985","#data":{"type":"news","title":"Pitch Perfect: GT Computing Undergrads Provide Automated Training Upgrade for Softball Team","body":[{"value":"\u003Cp\u003EThere\u0026rsquo;s a classic story that former Atlanta Braves pitching coach Leo Mazzone used to share about Hall-of-Famer Greg Maddux, one of the smartest hurlers of all time. Although the exact details have changed in retelling over time, it goes something like this:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMaddux, a meticulous documenter of pitch sequences and batter results throughout his career, once explained to Mazzone in between innings that the leadoff batter in the following frame would pop out to third base on the fourth pitch of the at-bat. He\u0026rsquo;d start him with a fastball, change speeds for strike two, waste a pitch outside, and then induce the popup on a one-ball, two-strike count. Sure enough, a few minutes later, Maddux did exactly as he\u0026rsquo;d said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThere are a couple of lessons here: One, Maddux was a wizard. Many pitchers over time have tried to replicate his impeccable approach to the game, but few have ever succeeded at that level; two, pitch sequence matters \u0026ndash; perhaps more than how overpowering your fastball is or how sharp the break is on your curve.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECapitalizing on this intuition, a group of undergraduate students at \u003Ca href=\u0022http:\/\/gatech.edu\u0022\u003EGeorgia Tech\u003C\/a\u003E are working with the softball team to provide an automated upgrade to players\u0026rsquo; training. Using the wealth of statistics kept by the team \u0026ndash; pitch-by-pitch data for balls, strikes, types of pitches thrown, and results \u0026ndash; they have trained an algorithm that can select the best pitch to throw in any given situation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe tool is used by the coaches and pitchers for game planning purposes, generating daily reports after every game and practice to help inform coaches of trends in sequences and results.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In baseball and softball nowadays, data analytics has become such an incredibly important part of the game,\u0026rdquo; said \u003Cstrong\u003EJack Bennett\u003C\/strong\u003E, a third-year \u003Ca href=\u0022http:\/\/isye.gatech.edu\u0022\u003EIndustrial Engineering\u003C\/a\u003E student. \u0026ldquo;Anything that can get them data to go into games more prepared. Technology is at the forefront of this.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThey began using the approach during the 2019 season. Bennett and partners \u003Cstrong\u003EZach Panzarino\u003C\/strong\u003E (third-year \u003Ca href=\u0022http:\/\/cc.gatech.edu\u0022\u003EComputer Science\u003C\/a\u003E) and Ron Kushkuley (third-year \u003Ca href=\u0022http:\/\/coe.gatech.edu\u0022\u003EComputer Engineering\u003C\/a\u003E) had demonstrated a similar capability at last year\u0026rsquo;s Sports Innovation Hackathon using data for Atlanta Braves pitcher Mike Foltynewicz, finishing in third place. \u003Cstrong\u003EDoug Allvine\u003C\/strong\u003E, assistant athletics director for innovation at Georgia Tech, put the team in touch with softball coach \u003Cstrong\u003EAileen Morales\u003C\/strong\u003E. Morales was interested, and the students were able to begin testing the approach.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt works like this: The softball team keeps track of its own data \u0026ndash; not just player statistics, but pitch selections and results for every pitcher in every game throughout the season. That\u0026rsquo;s a lot of data and can offer a lot of information. What happened when Pitcher X threw a 3-2 changeup to a lefthanded batter?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBut it goes a little deeper than that. Panzarino, Bennett, and Kushkuley found that the pitch sequence is what matters most. That follows the standard strategic thinking \u0026ndash; a slider away can be more effective if set up by an inside fastball on the previous pitch, for example. What the algorithm does, however, is consider the order each pitch is thrown in the at-bat and provide a score for which pitch will be most effective based on past data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We leverage sequences, the count, outs, everything,\u0026rdquo; Panzarino said. \u0026ldquo;Looking at the current state and the previous pitches, it will score all the potential future routes a pitcher can choose. We give them reports before each game so that they can prepare, and then we look at success or failure after the game.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAfter a test run a year ago, the students have honed the technology and are working with the team again this year. Qualitatively speaking, they said they noticed results throughout the year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;When we first gave them our analysis, it would recommend certain stuff in certain situations,\u0026rdquo; Bennett said. \u0026ldquo;Maybe it would say a changeup should be thrown more in this situation. Then, when we\u0026rsquo;d get postgame data later, we\u0026rsquo;d see that more changeups were being thrown and were continuing to be effective.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;When I first saw what they were developing, I was beyond impressed,\u0026rdquo;\u0026nbsp;Morales said. \u0026ldquo;We are very meticulous with collecting data in our program and trying to find ways to learn more about what is and what is not working for our athletes. It\u0026rsquo;s remarkable to see how they can take the data we had and leverage it in a way that allowed us to finetune our training.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERecently, at the 2020 Sports Innovation Hackathon, the group developed a similar solution for baseball. They received runner-up in the competition, and hope to connect further with the Georgia Tech baseball team in the future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Tons of theory has been written on how pitchers should approach sequencing in games, but this is a model that can show you the data about how well that works,\u0026rdquo; Panzarino said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A group of undergraduate students at Georgia Tech are working with the softball team to provide an automated upgrade to players\u2019 training."}],"uid":"33939","created_gmt":"2020-04-01 17:57:21","changed_gmt":"2020-04-01 17:57:21","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-04-01T00:00:00-04:00","iso_date":"2020-04-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"520851":{"id":"520851","type":"image","title":"Softball","body":null,"created":"1459789200","gmt_created":"2016-04-04 17:00:00","changed":"1475895289","gmt_changed":"2016-10-08 02:54:49","alt":"Softball","file":{"fid":"206045","name":"softball.png","image_path":"\/sites\/default\/files\/images\/softball_0.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/softball_0.png","mime":"image\/png","size":301482,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/softball_0.png?itok=plm8gn5h"}}},"media_ids":["520851"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"181639","name":"cc-research; ic-ai-ml"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}