{"670551":{"#nid":"670551","#data":{"type":"news","title":"IDEaS Awards Grants and Cyberinfrastructure Resources for Thematic Programs and Research in AI","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn keeping with a strong strategic focus on AI for the 2023-2024 Academic Year, the Institute for Data Engineering and Science (IDEaS) has announced the winners of its 2023 Seed Grants for Thematic Events in AI and Cyberinfrastructure Resource Grants to support research in AI requiring secure, high-performance computing capabilities. Thematic event awards recipients will receive $8K to support their proposed workshop or series and Cyberinfrastructure winners will receive research support consisting of 600,000 CPU hours on the AMD Genoa Server as well as 36,000 hours of NVIDIA DGX H-100 GPU server usage and 172 TB of secure storage.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003ECongratulations to the award winners listed below!\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/h3\u003E\r\n\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EThematic Events in AI Awards \u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003EProposed Workshop:\u0026nbsp;\u201cFoundation of scientific AI (Artificial Intelligence) for Optimization of Complex Systems\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003EPrimary PI: Peng Chen, Assistant Professor, School of Computational Science and Engineering\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\u003Cem\u003E\u003Cspan\u003E\u003Cspan\u003EProposed Series: \u201cGuest Lecture Seminar Series on Generative Art and Music\u201d\u003C\/span\u003E\u003C\/span\u003E\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003EPrimary PI: Gil Weinberg, Professor, School of Music \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003ECyber-Infrastructure Resource Awards\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETitle: \u003Cem\u003EHuman-in-the-Loop Musical Audio Source Separation\u003C\/em\u003E\u003Cbr \/\u003E\r\nTopics: Music Informatics, Machine Learning\u003Cbr \/\u003E\r\nPrimary PI: Alexander Lerch, Associate Professor, School of Music\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECo-PIs: Karn Watcharasupat, Music Informatics Group | Yiwei Ding, Music Informatics Group | Pavan Seshadri, Music Informatics Group\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\u003ETitle: \u003Cem\u003ETowards A Multi-Species, Multi-Region Foundation Model for Neuroscience\u003C\/em\u003E\u003Cbr \/\u003E\r\nTopics: Data-Centric AI, Neuroscience\u003Cbr \/\u003E\r\nPrimary PI: Eva Dyer,\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E \u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAssistant Professor, Biomedical Engineering\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\u003ETitle: \u003Cem\u003EMulti-point Optimization for Building Sustainable Deep Learning Infrastructure\u003C\/em\u003E\u003Cbr \/\u003E\r\nTopics: Energy Efficient Computing, Deep Learning, AI Systems OPtimization\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPrimary PI: Divya Mahajan, Assistant Professor, School of Electrical and Computer Engineering, School of Computer Science\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\u003ETitle: \u003Cem\u003ENeutrons for Precision Tests of the Standard Model\u003C\/em\u003E\u003Cbr \/\u003E\r\nTopics: Nuclear\/Particle Physics, Computational Physics\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPrimary PI: Aaron Jezghani - OIT-PACE\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\u003ETitle: \u003Cem\u003EContinual Pretraining for Egocentric Video\u003C\/em\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPrimary PI: : Zsolt Kira, Assistant Professor, School of Interactive Computing\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ECo-PI: Shaunak Halbe, Ph.D. Student, Machine Learning\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\u003ETitle: \u003Cem\u003ETraining More Trustworthy LLMs for Scientific Discovery via Debating and Tool Use\u003C\/em\u003E\u003Cbr \/\u003E\r\nTopics: Trustworthy AI, Large-Language Models, Multi-Agent Systems, AI Optimization\u003Cbr \/\u003E\r\nPrimary PIs: Chao Zhang, School of Computational Science and Engineering\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u0026amp; Bo Dai, College of Computing\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\u003ETitle: \u003Cem\u003EScaling up Foundation AI-based Protein Function Prediction with IDEaS Cyberinfrastructure\u003C\/em\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ETopics: AI, Biology\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EPrimary PI: Yunan Luo, Assistant Professor, School of Computational Science and Engineering\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EChrista M. Ernst\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":[{"value":"Grants will support AI themed workshops and seminars, and data heavy interdisciplinary research in new directions in Artificial Intelligence"}],"field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EIn keeping with a strong strategic focus on AI for the 2023-2024 Academic Year, the Institute for Data Engineering and Science (IDEaS) has announced the winners of its 2023 Seed Grants for Thematic Events in AI and Cyberinfrastructure Resource Grants.\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Grants will support AI themed workshops and seminars, and data heavy interdisciplinary research in new directions in Artificial Intelligence."}],"uid":"27863","created_gmt":"2023-10-20 17:59:44","changed_gmt":"2023-10-20 18:24:50","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-10-20T00:00:00-04:00","iso_date":"2023-10-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672118":{"id":"672118","type":"image","title":"Server Room for AI Awards art 2 IDEaS Oct 2023 800px.png","body":null,"created":"1697824795","gmt_created":"2023-10-20 17:59:55","changed":"1697824795","gmt_changed":"2023-10-20 17:59:55","alt":"3D Graphic of a Server Room","file":{"fid":"255305","name":"Server Room for AI Awards art 2 IDEaS Oct 2023 800px.png","image_path":"\/sites\/default\/files\/2023\/10\/20\/Server%20Room%20for%20AI%20Awards%20art%202%20IDEaS%20Oct%202023%20800px.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/10\/20\/Server%20Room%20for%20AI%20Awards%20art%202%20IDEaS%20Oct%202023%20800px.png","mime":"image\/png","size":617851,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/10\/20\/Server%20Room%20for%20AI%20Awards%20art%202%20IDEaS%20Oct%202023%20800px.png?itok=XGCg4MJg"}}},"media_ids":["672118"],"groups":[{"id":"1278","name":"College of Sciences"},{"id":"545781","name":"Institute for Data Engineering and Science"}],"categories":[{"id":"42941","name":"Art Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"143","name":"Digital Media and Entertainment"},{"id":"42911","name":"Education"},{"id":"144","name":"Energy"},{"id":"145","name":"Engineering"},{"id":"150","name":"Physics and Physical Sciences"},{"id":"135","name":"Research"}],"keywords":[{"id":"187023","name":"go-data"},{"id":"594","name":"college of engineering"},{"id":"187915","name":"go-researchnews"},{"id":"654","name":"College of Computing"},{"id":"4896","name":"College of Sciences"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"145171","name":"Cybersecurity"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39531","name":"Energy and Sustainable Infrastructure"},{"id":"39471","name":"Materials"},{"id":"39501","name":"People and Technology"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cstrong\u003EChrista M. Ernst - Research Communications Program Manager\u003C\/strong\u003E\u003Cbr \/\u003E\r\nRobotics | Data Engineering | Neuroengineering\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["christa.ernst@research.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}