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SUMMARY:Yang-Hui He (LIMS)
DTSTART:20230405T090000Z
DTEND:20230405T100000Z
DTSTAMP:20260423T021053Z
UID:CompAlg/8
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CompAlg/8/">
 Universes as Bigdata: Physics\, Geometry and Machine-Learning</a>\nby Yang
 -Hui He (LIMS) as part of Machine Learning Seminar\n\n\nAbstract\nThe sear
 ch for the Theory of Everything has led to superstring theory\, which then
  led physics\, first to algebraic/differential geometry/topology\, and the
 n to computational geometry\, and now to data science. With a concrete pla
 yground of the geometric landscape\, accumulated by the collaboration of p
 hysicists\, 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 th
 e core of our programme is the question: how can AI help us with mathemati
 cs?\n
LOCATION:https://researchseminars.org/talk/CompAlg/8/
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