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SUMMARY:Yang-Hui He (City\, University of London & Merton\, University of 
 Oxford)
DTSTART:20201112T190000Z
DTEND:20201112T200000Z
DTSTAMP:20260423T035908Z
UID:SGFM/15
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SGFM/15/">Un
 iverses as Bigdata: Superstrings\, Calabi-Yau Manifolds and Machine-Learni
 ng</a>\nby Yang-Hui He (City\, University of London & Merton\, University 
 of Oxford) as part of Seminario de Geometría y Física - Matemática UCN-
 USP\n\n\nAbstract\nWe review how historically the problem of string phenom
 enology lead theoretical physics first to algebraic/differential geometry\
 , and then to computational geometry\, and now to data science and AI.\n\n
 With the concrete playground of the Calabi-Yau landscape\, accumulated by 
 the collaboration of physicists\, mathematicians\, and computer scientists
  over the last 4 decades\, we show how the latest techniques in machine-le
 arning can help explore problems of physical and mathematical interest\, f
 rom geometry to group theory\, to combinatorics and number theory.\n
LOCATION:https://researchseminars.org/talk/SGFM/15/
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