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SUMMARY:Vishnu Jejjala
DTSTART:20201104T170000Z
DTEND:20201104T180000Z
DTSTAMP:20260423T023008Z
UID:UKYhepth/16
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/UKYhepth/16/
 ">Machine learning as a discovery tool in hep-th</a>\nby Vishnu Jejjala as
  part of Theoretical Physics Seminars (Kentucky)\n\n\nAbstract\nMachine le
 arning provides a new tool for analyzing Big Data and Small Data in mathem
 atics and theoretical physics. In this talk\, I discuss two case studies. 
 The first predicts the volume of the knot complement of hyperbolic knots f
 rom the Jones polynomial. The second predicts the masses of baryons such a
 s the proton and neutron from knowledge only of the meson spectrum and dis
 tinguishes between different composition hypotheses for exotic QCD resonan
 ces. Both investigations point to the existence of new analytic formulae.\
 n
LOCATION:https://researchseminars.org/talk/UKYhepth/16/
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