[Sds-seminars] [Sds-announce] talk of potential interest on Oct 31 at 4pm

[Dan Spielman]

This talk on Machine Learning for Physics could be interesting.
Unfortunately, it conflicts with the S&DS seminar.

[image: Wright Lab Logo]
Physics Club



*Benjamin Nachman*
Lawrence Berkeley National Laboratory

*Monday, October 31, 2022*
4:00 pm

*SPL 57* (Zoom info below)

Refreshments at 3:30 pm outside lecture hall




*Machine Learning for Fundamental Physics*

I will describe an exciting and rapidly growing research program aimed at
advancing the potential for discovery and interdisciplinary collaboration
by approaching Particle, Nuclear, and Astro Physics challenges through the
lens of modern machine learning (ML). This research program has two
complementary components. Ab initio simulations are a powerful tool of
fundamental physics and the first component described in the talk will be
the optimal combination of simulations with ML. The second component will
focus on simulation-free problems where ML can be used to identify patterns
in high-dimensional feature spaces that would be unfindable with
traditional methods.

*Host:* Ian Moult <ian.moult at yale.edu?subject=>

*Zoom link: *https://yale.zoom.us/j/99729391069
<https://click.message.yale.edu/?qs=9749bfd0e6bd49263aefe95379f12d434bb45055b4c35d24ddafbe172bb827d8b25c6c991de4fcd5ef5ef4de7a1cfafd22377d2dc3c89655>
 *Password*: 519420

*Physics Club is a weekly colloquium of general interest to the departments
of Physics, Applied Physics, Astronomy, and Mathematics.  The series is
aimed at graduate students, postdoctoral researchers, research staff and
faculty.*
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