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TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
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TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
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DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
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BEGIN:VEVENT
DTSTAMP:20190719T085744Z
LOCATION:HG E 3
DTSTART;TZID=Europe/Stockholm:20190613T111500
DTEND;TZID=Europe/Stockholm:20190613T114500
UID:submissions.pasc-conference.org_PASC19_sess121_msa193@linklings.com
SUMMARY:Neuromorphic Computing for High Energy Physics Applications
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Physi
 cs\n\nNeuromorphic Computing for High Energy Physics Applications\n\nSchum
 an, Potok\n\nNeuromorphic computing systems have many characteristics that
  make them amenable to processing scientific data, including the ability t
 o deal with spatio-temporal data, low power implementations, real-time pro
 cessing, and/or fast neural network computation.  In this presentatio
 n, a brief overview of neuromorphic computing systems will be given, and w
 e will show how neuromorphic systems can be applied to high energy physics
  applications.  
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