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DTSTART:20210314T030000
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DTSTAMP:20210312T140910Z
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DTSTART;TZID=America/New_York:20210311T193000
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DESCRIPTION:Abstract: Applying AI at the edge and endpoints often requires 
 working under non-data center environments and in power constrained condit
 ions. AI inference also requires significant memory to hold weighting valu
 es from training. New non-volatile memories can help provide more memory i
 n a given device die and use less power than NOR flash\, SRAM or DRAM. Thi
 s presentation will talk about changes in the memory/storage hierarchy and
  how it will change memory and storage in data centers and embedded device
 s to support energy efficient and low latency AI applications.\n\nSpeaker(
 s): Tom Coughlin\, \n\nAgenda: \n7PM - ExCom meeting (administrative)\n\n7
 :30 announcements followed by Tom's talk\n\nManchester\, New Hampshire\, U
 nited States\, Virtual: https://events.vtools.ieee.org/m/265292
LOCATION:Manchester\, New Hampshire\, United States\, Virtual: https://even
 ts.vtools.ieee.org/m/265292
ORGANIZER:cs2010@jimisaak.com
SEQUENCE:3
SUMMARY:Digital Storage and Memory for AI at the Edge
URL;VALUE=URI:https://events.vtools.ieee.org/m/265292
X-ALT-DESC:Description: <br /><p>Abstract: Applying AI at the edge and endp
 oints often requires working under non-data center environments and in pow
 er constrained conditions. AI inference also requires significant memory t
 o hold weighting values from training. New non-volatile memories can help 
 provide more memory in a given device die and use less power than NOR flas
 h\, SRAM or DRAM. This presentation will talk about changes in the memory/
 storage hierarchy and how it will change memory and storage in data center
 s and embedded devices to support energy efficient and low latency AI appl
 ications.</p><br /><br />Agenda: <br /><p>7PM - ExCom meeting (administrat
 ive)</p>\n<p>7:30 announcements followed by Tom's talk</p>
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