Collision Course: Particle Physics Meets Machine Learning
- Speaker
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Jesse Thaler, Ph.D.Professor of Physics, Massachusetts Institute of Technology
Director, NSF Institute for Artificial Intelligence and Fundamental Interactions
Presidential Lectures are free public colloquia centered on four main themes: Biology, Physics, Mathematics and Computer Science, and Neuroscience and Autism Science. These curated, high-level scientific talks feature leading scientists and mathematicians and are intended to foster discourse and drive discovery among the broader NYC-area research community. We invite those interested in the topic to join us for this weekly lecture series.
Modern machine learning has had an outsized impact on many scientific fields, and particle physics is no exception. What is special about particle physics, though, is the vast amount of theoretical knowledge we already have about many problems in the field and the daunting deluge of data coming from flagship experiments like the Large Hadron Collider.
In this Presidential Lecture, Jesse Thaler will explain how one can teach a machine to “think like a physicist” by embedding theoretical principles into advanced machine learning architectures. At the same time, Thaler will advocate that physicists must learn how to “think like a machine” by capitalizing on advances in computational optimization to perform precision calculations and identify potential signals of new physics.