AAAS2021 Session on Artificial Intelligence for Physics: Experimental and Theoretical Perspectives

Tuesday 9 Feb 2021, 08:30 → 16:00 US/Central

Meenakshi Narain (Brown University (US)), Sergei Gleyzer (University of Alabama (US))

This session focuses on the latest breakthroughs and ideas from artificial intelligence which are transforming the field of particle physics, providing attendees the audience with both theoretical and experimental perspectives on the ongoing transformation. Topics to be discussed include the influence of artificial intelligence on event and particle reconstruction in particle detectors; theoretical model building and optimization, large scale simulations and theoretical predictions, physics-inspired machine learning algorithms and realtime AI for detection of exotic physics signals.

https://aaas.confex.com/aaas/2021/meetingapp.cgi/Session/27471

The session consists of prerecorded videos by speakers and respondents on specific topics followed by a live moderated panel discussion. Session participants include: Prof. Sergei Gleyzer (Alabama), Prof. Meenakshi Narain (Brown), Prof. Jesse Thaler (MIT), Prof. Daniel Whiteson (UCI), Prof. Harrison Prosper (FSU), Prof. Risi Kondor (UChicago/Flatiron), Prof. Rose Yu (UCSD), Prof. Taritree Wongjirad(Tufts) and Dr. Savannah Thais (Princeton).

Panelists will describe the state of these important areas as well as the potential for future AI-driven development and discovery potential in new experiments such as the High-Luminosity Large Hadron Collider (HL-LHC) and Deep Underground Neutrino Experiment (DUNE), expected to come online in the later parts of this decade. Panelists will also offer insights that fundamental physics may offer to the field of machine learning to underpin the information theory of deep learning in order to lead to more powerful and explainable AI algorithms of the future.

08:30 → 09:00 AI for Physics: Theoretical Perspectives

Pre-recorded video by Prof. Jesse Thaler (speaker) on Theoretical Perspectives and Prof. Daniel Whiteson (respondent)

Speakers: Daniel Whiteson (University of California Irvine (US)), Jesse Thaler (MIT)

AM21-27471_AI for Particle Physics Theoretical Perspectives-Thaler.mp4

09:00 → 09:30 AI for Physics: Experimental Perspectives

Pre-recorded video by Prof. Taritree Wongjirad (speaker) on Experimental Perspectives and Prof. Risi Kondor (respondent)

Speakers: Imre Kondor (University of Chicago), Taritree Wongjirad (Tufts University)

AI for Physics: Experimental Perspectives

AM21-27471_AI in Particle Physics Experimental Perspectives-Wongirad.mp4

09:30 → 10:00 AI for Physics: Bridging the Gap between Experiment and Theory

Pre-recorded video by Prof. Harrison Prosper (speaker) on bridging the gap between experiment and theory and Prof. Rose Yu (respondent)

Speakers: Harry Prosper (Florida State University (US)), Prof. Rose Yu (UCSD)

AM21-27471_AI for Particle Physics Briding the Gap Between Experiment and Theory-Prosper.mp4

Bridging Gap between Theory and Experiment

10:00 → 10:45 Live Panel with all the participants (moderator: Dr. Savannah Thais)

Live Panel Recording with all the participants, moderated by Dr. Savannah Thais (Princeton)

Speakers: Daniel Whiteson (University of California Irvine (US)), Harry Prosper (Florida State University (US)), Imre Kondor (University of Chicago), Jesse Thaler (MIT), Meenakshi Narain (Brown University (US)), Rose Yu (UCSD), Savannah Jennifer Thais (Princeton University (US)), Sergei Gleyzer (University of Alabama (US)), Taritree Wongjirad (Tufts University)

Live panel (recording)