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Explore a thought-provoking seminar presentation where Professor Yang-Hui He from the London Institute for Mathematical Sciences delves into the intersection of artificial intelligence and mathematics. Learn how AI approaches mathematics through three key methodologies: theorem-proving, conjecture formulation, and language processing. Drawing from experiments in geometry and string theory, discover practical applications of machine learning algorithms in pattern detection across various mathematical disciplines, including algebraic geometry, representation theory, combinatorics, and number theory. Part of the "Black holes: bridges between number theory and holographic quantum information" event series, this 102-minute talk demonstrates the transformative potential of AI in advancing mathematical research and understanding.
