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The Expanding use of AI in Research Infrastructure Applications
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Moderator:
Charles Vardeman, Computational Scientist, Center for Research Computing at Notre Dame
Panel:
Katie Dagon, Project Scientist, National Center for Atmospheric Research (NCAR)
Dan Stanzione, Executive Director, Texas Advanced Computing Center (TACC)
Philip Harris, Assistant Professor of Physics, MIT (CMS)
Pete Beckman, Co-Director, Northwestern Argonne Institute of Science and Engineering and Argonne Distinguished Fellow, Argonne National Laboratory (ANL), DOE
Description:
A panel of experts discuss the revolutionizing roles of AI, from versatile assistants streamlining operations to enabling cutting-edge scientific modeling with neural networks. The panel addresses the emerging skills needed for AI engineering, along with other essential skills required to harness AI for scientific progress, ethical implementation, and workforce development. The importance of well-structured, FAIR data is emphasized, and the session aims to inspire collaboration and showcase the immense potential of AI to reshape the future of large research facilities.
View presentations, posters, and more information about NSF Research Infrastructure events at
Charles Vardeman, Computational Scientist, Center for Research Computing at Notre Dame
Panel:
Katie Dagon, Project Scientist, National Center for Atmospheric Research (NCAR)
Dan Stanzione, Executive Director, Texas Advanced Computing Center (TACC)
Philip Harris, Assistant Professor of Physics, MIT (CMS)
Pete Beckman, Co-Director, Northwestern Argonne Institute of Science and Engineering and Argonne Distinguished Fellow, Argonne National Laboratory (ANL), DOE
Description:
A panel of experts discuss the revolutionizing roles of AI, from versatile assistants streamlining operations to enabling cutting-edge scientific modeling with neural networks. The panel addresses the emerging skills needed for AI engineering, along with other essential skills required to harness AI for scientific progress, ethical implementation, and workforce development. The importance of well-structured, FAIR data is emphasized, and the session aims to inspire collaboration and showcase the immense potential of AI to reshape the future of large research facilities.
View presentations, posters, and more information about NSF Research Infrastructure events at