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Universes as Bigdata: Physics, Geometry and Machine-Learning

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  • UserYang-Hui He (London Institute for Mathematical Sciences), Boris Pioline (Sorbonne Universit√©)
  • ClockFriday 06 October 2023, 14:30-15:30
  • HouseSeminar Room 1, Newton Institute.

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BLHW01 - Number theory, machine learning and quantum black holes

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.We speculate on whether there is an inherent hierarchy of “difficulty” in mathematics reflected by data. At the heart of the programme is the question how does AI help with mathematical discovery.

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

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