BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Jared Kaplan (Professor\, Johns Hopkins University\, USA)
DTSTART:20200622T133000Z
DTEND:20200622T153000Z
DTSTAMP:20260423T010942Z
UID:QASTM/13
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/QASTM/13/">M
 achine Learning and How Physicists Can Think About It</a>\nby Jared Kaplan
  (Professor\, Johns Hopkins University\, USA) as part of Quantum Aspects o
 f Space-Time and Matter\n\n\nAbstract\nIn the last eight years there has b
 een an explosion of progress in Machine Learning.  In this colloquium I'll
  explain the (very simple) ideas underlying Neural Networks\, and give a f
 ew examples of their structure and current capabilities.  Then I'll survey
  the increasing scales of data and computation in this field\, and make so
 me comparisons and projections to see where it could be headed.  If time p
 ermits\, I'll also discuss my recent work on scaling laws for machine lear
 ning\, and its connection to language models and GPT-3.\n
LOCATION:https://researchseminars.org/talk/QASTM/13/
END:VEVENT
END:VCALENDAR