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Collision Course: Artificial Intelligence Meets Fundamental Interactions

Offered By: Georgia Tech Research via YouTube

Tags

Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Particle Physics Courses Experimental Physics Courses Theoretical Physics Courses Large Hadron Collider Courses

Course Description

Overview

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Explore the intersection of artificial intelligence and fundamental physics in this thought-provoking lecture by Jesse Thaler, Professor of Physics at MIT and Director of IAIFI. Delve into the potential of machine learning to revolutionize our understanding of the universe, from the smallest particles to the largest cosmic structures. Discover how teaching machines to "think like a physicist" can advance scientific knowledge, with a focus on particle physics at the Large Hadron Collider. Examine the synergy between theoretical principles and machine learning architectures, and learn how combining "deep learning" with traditional "deep thinking" in physics can drive innovation in artificial intelligence research. Gain insights into the unique challenges and opportunities presented by applying modern machine learning techniques to fundamental physics problems.

Syllabus

Collision Course: Artificial Intelligence meets Fundamental Interactions


Taught by

Georgia Tech Research

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