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VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20211208T164509Z
LOCATION:2010/2012
DTSTART;TZID=America/Los_Angeles:20211206T133000
DTEND;TZID=America/Los_Angeles:20211206T150000
UID:dac_DAC 2021_sess206_DESINV105@linklings.com
SUMMARY:How AI and Cloud enable a virtuous cycle in silicon design and man
 ufacturing
DESCRIPTION:Designer, IP and Embedded Systems Track Presentations\n\nHow A
 I and Cloud enable a virtuous cycle in silicon design and manufacturing\n\
 nShojaei, Yazdanbakhash, Kashyap, Panigrahi, Obilisetty...\n\nOver the las
 t few years, companies in the chip design space have rushed to adopt AI/ML
  enabled tools and technologies, built AI-powered flows and supported a th
 riving community of researchers and academicians. It is indeed rare to see
  a company that is not actively engaged in adopting AI. However, how ready
  are we to incorporate at scale? A recent study by McKinsey indicates stea
 dy gains in benefits from AI; but a lack of benefits at scale. \n\nCloud c
 omputing was well in place before the AI revolution; however, it has gaine
 d more prominence with the advent of AI-enabled use cases in automotive, I
 oT and image processing - to name a few. \n\nThrough three sessions, we wi
 ll explore how the semiconductor industry’s gains can be exponential
 ly improved by adopting a cloud-based technology foundation for AI-related
  tasks pertaining to data ingestion, model training, inference, and  model
  deployment.\n\nTopic: Cloud, Machine Learning/AI\n\nVirtual Program: Pres
 ented In-Person
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