Universes as Big-Data: Physics, Geometry & AI (Prof. Yang-Hui He)

LOGML Summer School 2022

Talk Title: Universes as Big Data: Physics, Geometry and Machine-Learning

Abstract: The search for the Theory of Everything has led to superstring theory, which then led physics, first to algebraic/differential geometry/topology, and then to computational geometry, and now to data science. With a concrete playground of the geometric landscape, accumulated by the collaboration of physicists, mathematicians and computer scientists over the last 4 decades, we show how the latest techniques in machine-learning can help explore problems of interest to theoretical physics and to pure mathematics. At the core of our programme is the question: how can AI help us with mathematics?

Speaker Bio: Yang-Hui He is a Fellow at the London Institute for Mathematical Sciences,, Professor of mathematics at City, University of London, Lecturer at Merton College, University of Oxford and Chang-Jiang Chair of physics at NanKai University. He studied at Princeton, Cambridge and MIT and works at the interface between string theory, algebraic geometry and machine learning.

Видео Universes as Big-Data: Physics, Geometry & AI (Prof. Yang-Hui He) канала LOGML Summer School