AI for Science: from Atoms to the Cosmos

Scientists across the globe are using artificial intelligence (AI) to design better materials and processes, accelerate drug discovery, explore the mysteries of the universe, automate traditional research, and drive an array of scientific discoveries. 

This colloquium, the fourth in the series celebrating Argonne’s 75th anniversary, will engage a panel of experts to discuss how AI is used in, and has transformed, science.  

At Argonne and other U.S. Department of Energy (DOE) laboratories, “AI for Science” broadly means the next generation of methods and scientific opportunities involving the use of computational learning and machine intelligence. This includes the development and application of AI methods (e.g., machine learning, deep learning, statistical methods, data analytics, automated control, and related areas) to build models from data and use the models to advance scientific research.

Please join us as we explore the transformational potential of AI: how to best define it, how it can impact diverse areas of science, what we’ve learned so far, and where we go from here.  

Program Keynote
Jonathan Rowe
Computer Scientist and Professor of Natural Computation, University of Birmingham; Program Director, Data Science for Science and Humanities, Alan Turing Institute

Panel Discussion
Moderator
Rick Stevens  
Associate Laboratory Director for Computing, Environment, and Life Sciences, Argonne National Laboratory 

Panelists
Douglas Finkbeiner 
Professor of Astronomy & Physics, Department of Astronomy, Harvard University

Patrick Riley 
Senior Vice President, Artificial Intelligence, Relay Therapeutics (Relay Tx)

Subramanian Sankaranarayanan 
Group Leader, Theory and Modeling Group, Center for Nanoscale Materials, Nanoscience & Technology, Argonne National Laboratory; Associate Professor, Department of Mechanical and Industrial Engineering, University of Illinois

Rebecca Willett 
Professor of Statistics and Computer Science, University of Chicago 

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Virtual event details, including login information, will be shared with you by email prior to the event date. Questions? Contact events@anl.gov.

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