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Machine Learning for the String Theory Landscape

Offered By: IPhT-TV via YouTube

Tags

Machine Learning Courses Artificial Intelligence Courses Data Science Courses Algorithms Courses Particle Physics Courses Computational Physics Courses String Theory Courses Quantum Field Theory Courses Calabi-Yau Manifold Courses

Course Description

Overview

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Explore cutting-edge applications of machine learning in string theory landscapes through this comprehensive lecture by Jim Halverson. Delve into the innovative Landscapia project, which leverages advanced ML techniques to navigate and analyze the vast string theory landscape. Gain insights into how computational methods are revolutionizing our understanding of fundamental physics and the potential implications for unifying theories. Learn about the challenges and opportunities presented by applying machine learning to complex theoretical frameworks, and discover how this interdisciplinary approach is pushing the boundaries of both physics and artificial intelligence research.

Syllabus

Jim Halverson - Machine Learning for the Landscape (Landscapia)


Taught by

IPhT-TV

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