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DTSTART:20210314T030000
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DTSTART;TZID=America/Vancouver:20210514T110000
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DESCRIPTION:The impressive improvements of radiation detectors have led to 
 an exponential increase in the data rate they provide. To relieve the pres
 sure on data acquisition systems\, we are working on adding distributed an
 alyses on the data acquisition path. This talk will explore why machine le
 arning techniques offer lightweight\, low-latency opportunities to reduce 
 data at the source for several physics and medical imaging applications an
 d will highlight the main implementation challenges that must be overcome.
 \n\nThis talk is still new and a work in progress so feedback is very welc
 ome!\n\nCo-sponsored by: TRIUMF\n\nSpeaker(s): Audrey Corbeil Therrien\, \
 n\nVirtual: https://events.vtools.ieee.org/m/270840
LOCATION:Virtual: https://events.vtools.ieee.org/m/270840
ORGANIZER:ahmed.hussein@unbc.ca
SEQUENCE:10
SUMMARY:From particles to bits: The journey of information (Edge computing 
 for radiation detectors)
URL;VALUE=URI:https://events.vtools.ieee.org/m/270840
X-ALT-DESC:Description: <br /><p>The impressive improvements of radiation d
 etectors have led to an exponential increase in the data rate they provide
 . To relieve the pressure on data acquisition systems\, we are working on 
 adding distributed analyses on the data acquisition path. This talk will e
 xplore why machine learning techniques offer lightweight\, low-latency opp
 ortunities to reduce data at the source for several physics and medical im
 aging applications and will highlight the main implementation challenges t
 hat must be overcome. &nbsp\;&nbsp\;<br /><br />This talk is still new and
  a work in progress so feedback is very welcome!<br /><br /></p>
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