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The AI Mathematician, Part I

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BLH - Black holes: bridges between number theory and holographic quantum information

We summarize how AI can approach mathematics in three ways: theorem-proving, conjecture formulation, and language processing.Inspired by initial experiments in geometry and string theory, we present a number of recent experiments on how various standard machine-learning algorithms can help with pattern detection across disciplines ranging from algebraic geometry to representation theory, to combinatorics, and to number theory.

This talk is part of the Isaac Newton Institute Seminar Series series.

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