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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
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TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0700
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TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20211208T164511Z
LOCATION:2010/2012
DTSTART;TZID=America/Los_Angeles:20211207T153000
DTEND;TZID=America/Los_Angeles:20211207T170000
UID:dac_DAC 2021_sess210_DESINV111@linklings.com
SUMMARY:Exchanging EDA data for AI/ML using Standard API
DESCRIPTION:Designer, IP and Embedded Systems Track Presentations\n\nExcha
 nging EDA data for AI/ML using Standard API\n\nKalafala, Balasubramanian, 
 Mohammed, Kahng\n\nRecent industry surveys show that current status quo in
 volving siloed development on proprietary APIs results in significant diff
 iculties in collaborating on AI/ML in the field of EDA.  Key issues are: 1
 ) lack of a standard means of exchanging derived data between partners and
  2) the concomitant duplication of efforts due to proprietary hurdles.  In
  this special session, experts representing chip design, EDA vendors, and 
 academia provide perspectives on the need for a common API to present deri
 ved data for AI/ML pertaining to IC design.   This session includes a disc
 ussion of existing data formats, applications that use these data types, a
 nd of how advances in AI/ML are driving needs which extend beyond capabili
 ties of existing APIs.  The topic of IP protection will be a particular fo
 cus, including perspectives on what mechanisms need to be in place for dat
 a sharing, and various levels of security required depending on the applic
 ation domain.\n\nTopic: Machine Learning/AI\n\nVirtual Program: Presented 
 In-Person
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