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TZOFFSETFROM:-0800
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TZNAME:PDT
DTSTART:19700308T020000
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DTSTAMP:20211208T164508Z
LOCATION:3008
DTSTART;TZID=America/Los_Angeles:20211209T084000
DTEND;TZID=America/Los_Angeles:20211209T094500
UID:dac_DAC 2021_sess235@linklings.com
SUMMARY:DAC Best Paper & Presentation Awards & Thursday Keynote
DESCRIPTION:Keynote\n\nKurt Keutzer, University of California, Berkeley\nA
 I, Machine Learning, Deep Learning: Where are the Real Opportunities for t
 he EDA Industry?\n\nKurt Keutzer is a Professor of the Graduate School in 
 EECS at University of California, Berkeley, where he is also a member of t
 he Berkeley AI Research (BAIR) Lab and co-director of the Berkeley Deep Dr
 ive research consortium. His research covers all aspects of making Deep Le
 arning efficient. His “Squeeze” family of Deep Neural Nets wer
 e among the first neural nets suitable for mobile and IOT applications. Hi
 s collaboration on the LARS and LAMB algorithms reduced the training time 
 of ImageNet and BERT to minutes. Previously, Kurt was CTO at Synopsys, and
  his contributions to Electronic Design Automation were recognized at the 
 50th Design Automation Conference where he was noted as a Top 10 most-cite
 d author, author of a Top 10 cited paper, and one of only three people to 
 win four Best Paper Awards in the fifty-year history of that conference.  
 As an entrepreneur Kurt has been an investor and advisor to over 30 startu
 ps. His most recent exits have been DeepScale (where he was co-founder), a
 cquired by Tesla, and BabbleLabs (investor and advisor), acquired by Cisco
 . He was the first investor in Coverity, and he was among the first group 
 of investors in Tensilica, and, more recently, Covariant.\n\nAI, Machine L
 earning, Deep Learning: Where are the Real Opportunities for the EDA Indus
 try?\n\nKeutzer\n\nAI, ML, Deep Learning: when these terms are properly un
 derstood it’s clear that EDA has long been a leader in solving many 
 traditional AI problems such as search, satisfiability, and model checking
 . Looking to the future, I will focus on how we can bring our very sophist
 icated set of EDA skill...\n\n\nVirtual Program: Hosted in Virtual Platfor
 m, Presented In-Person
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