“AI for Science”
Monday Jan. 18, 2021 – 2:15 – 3:15 (CET)
Modern machine learning has had remarkable success in all kinds of AI applications, and is also poised to change fundamentally the way we do research in traditional areas of science and engineering. In this talk, I will give an overview on some of the theoretical and practical issues that I consider most important in this new exciting area.
Weinan E received his Ph.D. from UCLA in 1989.
After being a visiting member at the Courant Institute of NYU and the Institute for Advanced Study at Princeton, he joined the faculty at NYU in 1994. He is now a professor of mathematics at Princeton University, a position he has held since 1999.
Weinan E is the recipient of the ACM Gordon-Bell Prize, the SIAM R. E. Kleinman Prize, SIAM von Karman Prize, the Peter Henrici Prize and the ICIAM Collatz Prize. He is a member of the Chinese Academy of Sciences, a fellow of the American Mathematical Society, a SIAM fellow and a fellow of the Institute of Physics.
Weinan E’s current work centers on machine learning.