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SUMMARY:Yang-Hui He (London Institute for Mathematical Sciences & Merton C
 ollege\, Oxford University)
DTSTART:20230202T170000Z
DTEND:20230202T180000Z
DTSTAMP:20260423T003259Z
UID:MPML/93
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MPML/93/">CO
 LLOQUIUM: Universes as Bigdata: Physics\, Geometry and Machine-Learning</a
 >\nby Yang-Hui He (London Institute for Mathematical Sciences & Merton Col
 lege\, Oxford University) as part of Mathematics\, Physics and Machine Lea
 rning (IST\, Lisbon)\n\n\nAbstract\nThe search for the Theory of Everythin
 g has led to superstring theory\, which then led physics\, first to algebr
 aic/differential geometry/topology\, and then to computational geometry\, 
 and now to data science. With a concrete playground of the geometric lands
 cape\, accumulated by the collaboration of physicists\, mathematicians and
  computer scientists over the last 4 decades\, we show how the latest tech
 niques in machine-learning can help explore problems of interest to theore
 tical physics and to pure mathematics. At the core of our programme is the
  question: how can AI help us with mathematics?\n
LOCATION:https://researchseminars.org/talk/MPML/93/
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