{"691535":{"#nid":"691535","#data":{"type":"event","title":"Machine Learning Seminar Series Fall 2026 | Measuring Cultural Variation: from Twitter to LLMs","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E People\u0027s language use reflects their culture. As a result, LLMs should adapt to the cultures of their many users, but they struggle to do so. Today\u0027s LLMs are multilingual but not multicultural: they speak fluent Hindi or Mandarin yet reflect the (often stereotypical) American perspectives implicit in their training data.\u0026nbsp; We first demonstrate how language can be used to quantify cultural variation, analyzing Twitter texts to quantify variation in individualism and collectivism across US counties. We then present a benchmark to assess how well LLMs understand cultural variation\u2014a set of questions that should be answered differently across countries\u2014and demonstrate that LLMs struggle to respond appropriately. Achieving truly global generative AI requires not just linguistic diversity, but LLMs that adapt to their multicultural users.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003ELyle Ungar is a Professor of Computer and Information Science at the University of Pennsylvania, where he holds secondary appointments in Psychology, Bioengineering, Genomics and Computational Biology, and Operations, Information and Decisions. His group builds chatbots and language analysis tools for psychological and medical research.\u0026nbsp; They study the drivers of physical and mental well-being and their cultural variation, and develop socially sensitive AI-based tutors and coaches.\u003C\/p\u003E\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\u003Ch4\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003Eat least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/h4\u003E\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\u003Ch5\u003EZoom link: \u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgatech.zoom.us%2Fj%2F91607375625%3Fpwd%3DybCsFPzknA8VqYZaSqvenqlWbrvyzx.1\u0026amp;data=05%7C02%7Cchrista.ernst%40research.gatech.edu%7C584f9253922649cf4a6508df34f0dd56%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639287881280250418%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=Q9YiiewMNH1%2BTvaz5CFWHEdeUJhYPQ0XsEXcjUEHuZs%3D\u0026amp;reserved=0\u0022 target=\u0022_blank\u0022 title=\u0022Original URL: https:\/\/gatech.zoom.us\/j\/91607375625?pwd=ybCsFPzknA8VqYZaSqvenqlWbrvyzx.1. Click or tap if you trust this link.\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/91607375625?pwd=ybCsFPzknA8VqYZaSqvenqlWbrvyzx.1\u003C\/a\u003E\u003C\/h5\u003E\u003Ch6\u003EMeeting ID: 916 0737 5625\u003Cbr\u003EPasscode: 038828\u003C\/h6\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held 12pm - 1pm in CODA\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Lyle Ungar - Professor of Computer and Information Science at the University of Pennsylvania"}],"uid":"27863","created_gmt":"2026-08-07 14:25:42","changed_gmt":"2026-10-30 16:58:34","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-11T12:00:00-05:00","event_time_end":"2026-11-11T13:00:00-05:00","event_time_end_last":"2026-11-11T13:00:00-05:00","gmt_time_start":"2026-11-11 17:00:00","gmt_time_end":"2026-11-11 18:00:00","gmt_time_end_last":"2026-11-11 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium \u0026 Virtual","extras":[],"related_links":[{"url":"https:\/\/www.trails.umd.edu\/daume","title":"Lab Website"}],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"},{"id":"187023","name":"go-data"},{"id":"654","name":"College of Computing"},{"id":"188087","name":"go-irim"},{"id":"193860","name":"Artifical Intelligence"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691559":{"#nid":"691559","#data":{"type":"event","title":"IRIM Fall 2026 Seminar |  Restoring Dexterity in Telerobotics: An Engineer\u2019s Journey Into Neuroscience","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E The human body can perform dexterous manipulation across a variety of environments. However, some environments present challenges due to limitations in function, distance, and scale. In many of these cases, access can be restored through the use of a telerobot. Dexterous manipulation via a telerobot is feasible only if it can effectively extend the user\u2019s inherent sensorimotor control scheme to the distal environment. In this talk, I will discuss research from our lab that explores the intricate relationship between touch perception, sensorimotor control, and telerobotics in both healthy and impaired individuals. Specifically, I will focus on our efforts to 1) restore \u201cneurally efficient\u201d control in upper-limb prosthetics, 2) enhance skill learning and skill transfer in robotic minimally invasive surgical training, and 3) assess and augment touch perception in healthy and impaired sensorimotor systems. Throughout, I will emphasize the need for increased collaboration between engineers and neuroscientists to deepen our understanding of these long-standing societal challenges and move closer to long-term solutions.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EJeremy D. Brown is the John C. Malone Associate Professor in the Department of Mechanical Engineering at Johns Hopkins University and the Solomon H. Snyder Department of Neuroscience at the Johns Hopkins School of Medicine. He is also a member of the Laboratory for Computational Sensing and Robotics (LCSR) and the Malone Center for Engineering in Healthcare. Prior to joining Hopkins, Jeremy was a Postdoctoral Research Fellow at the University of Pennsylvania in the Haptics Research Group, which is part of Penn\u2019s General Robotics, Automation, Sensing, and Perception (GRASP) Laboratory. He received his M.S. and Ph.D. degrees in Mechanical Engineering at the University of Michigan. He also holds B.S. degrees in Applied Physics and Mechanical Engineering from Morehouse College and the University of Michigan, respectively, as a graduate of the Atlanta University Center\u2019s Dual Degree Engineering Program. Jeremy directs the Haptics and Medical Robotics (HAMR) Laboratory, whose research focuses on human-robot interaction and haptic feedback, with applications in upper-limb prosthetics, robot-assisted surgery, and rehabilitation. By integrating human perception, motor control, and biomechanics, his work advances the design of intuitive and effective human-machine interfaces. He has been honored to receive several awards, including the NIH R21 Trailblazer Award, the IEEE RAS Technical Committee on Haptics Early CAREER Award, the NSF CRII Award, the NSF CAREER Award, and the Sloan Foundation Fellowship. He was also named a scholar to the NIH funded Interdisciplinary Rehabilitation Engineering Career Development Program (IREK-12). He is a member of the Institute of Electrical and Electronics Engineers\u2019 (IEEE) Robotics and Automation Society, the American Society of Mechanical Engineers (ASME), and the National Society of Black Engineers (NSBE). Brown\u2019s work has appeared in several peer-reviewed journals and news outlets, including Nature Scientific Reports, the Journal of Neuroengineering and Rehabilitation, IEEE Transactions on Haptics, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, the IEEE Transactions on Medical Robotics and Bionics, Forbes, and The New York Times.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held on Wednesdays 12:15 - 1:15pm\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring |  Jeremy D. Brown - John C. Malone Associate Professor, Department of Mechanical Engineering, Johns Hopkins University"}],"uid":"27863","created_gmt":"2026-08-07 17:40:54","changed_gmt":"2026-10-26 18:41:36","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-18T12:15:00-05:00","event_time_end":"2026-11-18T13:15:00-05:00","event_time_end_last":"2026-11-18T13:15:00-05:00","gmt_time_start":"2026-11-18 17:15:00","gmt_time_end":"2026-11-18 18:15:00","gmt_time_end_last":"2026-11-18 18:15:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus 1116 E\u0026W","extras":["free_food"],"related_links":[{"url":"https:\/\/hamr.lcsr.jhu.edu\/","title":"PI Website"}],"groups":[{"id":"1278","name":"College of Sciences"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"108031","name":"College of Engineering; Coulter Department of Biomedical Engineering"},{"id":"78681","name":"medical robotics"},{"id":"172970","name":"go-neuro"},{"id":"187582","name":"go-ibb"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:christa.ernst@research.gatech.edu\u0022\u003Echrista.ernst@research.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691558":{"#nid":"691558","#data":{"type":"event","title":"IRIM Fall 2026 Seminar | Physical Intelligence for Physical Care: Towards Stakeholder-Informed Caregiving Robots in the Real World","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EHow can we build robots that meaningfully assist people with mobility limitations in their daily lives? To support complex caregiving tasks such as robot-assisted feeding, bathing, transferring, and meal preparation, robots must physically interact with people and objects in dynamic, unstructured environments while maintaining safety. In this talk, I will present an overview of projects from the EmPRISE Lab that showcase fundamental advances in physical robot caregiving. I will highlight how we design stakeholder-informed systems with personalized contact-rich control policies and user functionality- and behavior-aware physical robot assistance. I will also share insights from deploying these systems with real users in real-world settings. Together, these efforts move us closer to building caregiving robots that are not only technically capable, but are also safe, deployable, and responsive to the real needs of people in care settings.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003E \u003C\/strong\u003ETapomayukh \u0022Tapo\u0022 Bhattacharjee is an Assistant Professor in the Department of Computer Science at Cornell University where he directs the EmPRISE Lab (\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Femprise.cs.cornell.edu%2F\u0026amp;data=05%7C02%7Cerobinson68%40gatech.edu%7C8c0554f3bdcd4e00352508df2013d371%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639264941676616898%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=NsIejV3AEAY0GSK05YkbGyZGI%2B3QVMnqXAW%2FoqzWtdg%3D\u0026amp;reserved=0\u0022\u003Ehttps:\/\/emprise.cs.cornell.edu\/\u003C\/a\u003E). He completed his Ph.D. in Robotics from Georgia Institute of Technology and was an NIH Ruth L. Kirschstein NRSA postdoctoral research associate in Computer Science \u0026amp; Engineering at the University of Washington. His primary research interests are in the area of physical robot caregiving and physical human-robot interaction. He is the recipient of TRI Young Faculty Researcher Award\u002724, NSF CAREER Award\u002723, AFCEA 40 under 40 Award\u002722, and his work has won Best Systems Paper Award at HRI\u201926, Best Paper Award at RSS\u201925, Best Paper and Student Paper Award Finalist and Best HRI Paper Award Finalist at ICRA\u201925, Best Systems Paper Award Finalist at HRI\u002724, Best Demo Award at HRI\u002724, Best RoboCup Paper Award at IROS\u201922, Best Paper Award Finalist and ABB Best Student Paper Award Finalist at IROS\u201922, Best Technical Advances Paper Award at HRI\u002719, and Best Demonstration Award at NeurIPS\u201918. His work has also been featured in many media outlets including the BBC, Reuters, New York Times, IEEE Spectrum, and GeekWire and his robot-assisted feeding work was selected to be one of the best interactive designs of 2019 by Fast Company.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held on Wednesdays 12:15 - 1:15pm\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Tapomayukh \u0022Tapo\u0022 Bhattacharjee - Assistant Professor, Department of Computer Science, Cornell University "}],"uid":"27863","created_gmt":"2026-08-07 17:30:07","changed_gmt":"2026-10-26 17:04:15","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-04T12:15:00-05:00","event_time_end":"2026-11-04T13:15:00-05:00","event_time_end_last":"2026-11-04T13:15:00-05:00","gmt_time_start":"2026-11-04 17:15:00","gmt_time_end":"2026-11-04 18:15:00","gmt_time_end_last":"2026-11-04 18:15:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA - Atrium (9th floor)","extras":["free_food"],"related_links":[{"url":"https:\/\/emprise.cs.cornell.edu\/","title":"PI Website"}],"groups":[{"id":"1278","name":"College of Sciences"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"188087","name":"go-irim"},{"id":"11230","name":"Human Robot Interaction"},{"id":"52491","name":"human centered computing; human robot interaction"},{"id":"654","name":"College of Computing"},{"id":"189814","name":"go-researchevents"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:christa.ernst@research.gatech.edu\u0022\u003Echrista.ernst@research.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"691537":{"#nid":"691537","#data":{"type":"event","title":"Machine Learning Seminar Series Fall 2026 | Session VII","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E TBA\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Enric Boix-Adsera is an assistant professor of statistics and data science. His parents are originally from Barcelona, and he grew up mostly in Princeton, New Jersey. Before coming to Wharton, he earned a doctorate in electrical engineering and computer science from MIT.\u003C\/p\u003E\u003Cp\u003EBoix-Adsera studies the learning processes of artificial intelligence models, such as ChatGPT, with the goal of improving their efficiency and reliability.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch4\u003E\u0026nbsp;\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/h4\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAll Seminars Held 12pm - 1pm in CODA\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring | Enric Boix, Wharton School at University of Pennsylvania \u2013 Department of Statistics and Data Science"}],"uid":"27863","created_gmt":"2026-08-07 14:31:32","changed_gmt":"2026-08-13 14:18:23","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-12-02T12:00:00-05:00","event_time_end":"2026-12-02T13:00:00-05:00","event_time_end_last":"2026-12-02T13:00:00-05:00","gmt_time_start":"2026-12-02 17:00:00","gmt_time_end":"2026-12-02 18:00:00","gmt_time_end_last":"2026-12-02 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA Building 9th floor Atrium \u0026 Virtual","extras":[],"related_links":[{"url":"https:\/\/eboix.github.io\/","title":"PI Website"}],"groups":[{"id":"322011","name":"College of Computing Events"},{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"},{"id":"654","name":"College of Computing"},{"id":"187023","name":"go-data"},{"id":"188087","name":"go-irim"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EFor CODA guest access, please contact \u003C\/strong\u003E\u003Ca href=\u0022mailto:shatcher8@gatech.edu\u0022\u003E\u003Cstrong\u003Eshatcher8@gatech.edu\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E at least 2 business days prior to the event.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}