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SUMMARY:Yang-Hui He (University of Oxford)
DTSTART:20200918T080000Z
DTEND:20200918T090000Z
DTSTAMP:20260423T021257Z
UID:EASW/10
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/EASW/10/">Un
 iverses as Bigdata:  Superstrings\, Calabi-Yau Manifolds and Machine-Learn
 ing</a>\nby Yang-Hui He (University of Oxford) as part of East Asian Strin
 g Webinars\n\n\nAbstract\nWe review how historically the problem of string
  phenomenology lead theoretical physics first to algebraic/diffenretial ge
 ometry\, and then to computational geometry\, and now to data science and 
 AI.\nWith the concrete playground of the Calabi-Yau landscape\, accumulate
 d by the collaboration of physicists\, mathematicians and computer scienti
 sts over the last 4 decades\, we show how the latest techniques in machine
 -learning can help explore problems of physical and mathematical interest.
 \n
LOCATION:https://researchseminars.org/talk/EASW/10/
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