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The Expanding Use of AI in Research Infrastructure Applications

A panel of experts will discuss the revolutionizing roles of AI, from versatile assistants streamlining operations to enabling cutting-edge scientific modeling with neural networks. The panel will address 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 will be emphasized, and the session aims to inspire collaboration and showcase the immense potential of AI to reshape the future of large research facilities.

 

 

Presenter(s):

Pete Beckman, Co-Director, Northwestern Argonne Institute of Science and Engineering and Argonne Distinguished Fellow, Northwestern University / Argonne National Laboratory LinkedIn

Katie Dagon, Project Scientist II, National Center for Atmospheric Research (NCAR) LinkedIn

Philip Harris, Asst. Professor of Physics, Massachusetts Institute of Technology MIT (CMS)

Dan Stanzione, Associate Vice President for Research, Executive Director of TACC, Texas Advanced Computing Center (TACC), The University of Texas at Austin

Charles Vardeman, CI Compass Knowledge Engineering and AI Expert, Research Assistant Professor, University of Notre Dame LinkedIn

Date:

June 27, 2023