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UID:UW-Physics-Event-6164
DTSTART:20201007T160000Z
DTEND:20201007T171500Z
DTSTAMP:20260415T005632Z
LAST-MODIFIED:20201005T182343Z
LOCATION:Please sign up at physicsmeetsml.org for this online event.
SUMMARY:Machine learning as a discovery tool in hep-th\, Physics ∩ M
 L Seminar\, Vishnu Jejjala\, University of Witwatersrand
DESCRIPTION:Machine learning provides a new tool for analyzing Big Dat
 a and Small Data in mathematics and theoretical physics. In this talk\
 , I discuss two case studies. The first predicts the volume of the kno
 t complement of hyperbolic knots from the Jones polynomial. The second
  predicts the masses of baryons such as the proton and neutron from kn
 owledge only of the meson spectrum and distinguishes between different
  composition hypotheses for exotic QCD resonances. Both investigations
  point to the existence of new analytic formulae.
URL:https://www.physics.wisc.edu/events/?id=6164
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