Overview
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Explore the intersection of machine learning, quantum chromodynamics, and gravitational physics in this 32-minute conference talk delivered at the QCD meets Gravity XI Conference. Discover how artificial intelligence techniques are being applied to solve complex problems at the convergence of particle physics and general relativity, examining novel computational approaches that bridge these fundamental areas of theoretical physics. Learn about cutting-edge research methodologies that leverage machine learning algorithms to tackle challenging questions in quantum field theory and gravitational systems, gaining insights into how modern computational tools are revolutionizing our understanding of the fundamental forces of nature.
Syllabus
Nathan Moynihan: Machine Learning meets QCD meets Gravity
Taught by
ICTP-SAIFR