Time and Date
10:00-12:00, March 07^th, 2024

Title
"Machine learning and theoretical physics"
by Akio Tomiya (International Professional University of Technology in Osaka)

Place (hybrid)
Room 745, Science Complex B (MAP H-03)

Zoom registration for participants:
https://us02web.zoom.us/meeting/register/tZEpfuqsrjotHd2J5Kt5FKpMM6cEoJVPIurE

Abstract
In recent years, research on theoretical physics using machine learning has been actively conducted. This involves not only treating neural nets as black boxes, but also designing the structure of neural nets to match the physical system to be computed, and conversely, attempting to understand neural nets themselves using physics methods. In this lecture, we will summarize recent developments and introduce them to the interdisciplinary field called "machine learning physics".

Point
GSP 1

Contact
Toru Kojo (Physics, GP-PU),
E-mail: toru.kojo.b1 * tohoku.ac.jp (Replace * with @)