Friday, September 15, 2023
10:20 a.m. – 11:10 a.m. (CST)
Professor at Dept. of Electrical & Computer Engineering
Texas A&M University
Title: “AI for Science in Quantum, Atomistic, and Continuum Systems”
- How to use AI to solve problems in physics, chemistry, material science, and fluid mechanics
- How to capture symmetries in physical systems
- How to use AI for advance basic science
Advances in AI are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating, and enabling our understanding of natural phenomena at a wide range of spatial and temporal scales, giving rise to a new area of research known as AI for science (AI4Science). In this talk, I will provide an overview of our recent work on understanding the physical world from the subatomic (wavefunctions and electron density), atomic (molecules, proteins, materials, and interactions), to macro (fluids, climate) scales. My talk will focus on how to capture symmetries in physical systems using equivariant models. I will also touch on a few other technical challenges, including explainability, out-of-distribution generalization, and knowledge transfer with foundation and large language models. My talk will be a summary of our recent 263-page review paper available at https://arxiv.org/abs/2307.08423
Dr. Shuiwang Ji is currently a Professor and Presidential Impact Fellow in the Department of Computer Science & Engineering, Texas A&M University. His research interests include machine learning and AI for science. Dr. Ji received the National Science Foundation CAREER Award in 2014. Currently, he serves as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), ACM Transactions on Knowledge Discovery from Data (TKDD), and ACM Computing Surveys (CSUR). He regularly serves as an Area Chair for ICLR, ICML, and NeurIPS. Dr. Ji is a Fellow of IEEE and AIMBE, and a Distinguished Member of ACM.
Recent Paper: https://arxiv.org/abs/2307.08423
More on Shuiwang Ji: http://people.tamu.edu/~sji/
More on CESG Seminars: HERE
Please join on Friday, 9/15/23 at 10:20 a.m. in ETB 1020.