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VERSION:2.0
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CALSCALE:GREGORIAN
X-WR-CALNAME:ECE/Cornell Tech Seminar - Mohamed Abdelfattah\, University of
  Toronto
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260612T090143Z
UID:tag:localist.com\,2008:EventInstance_36024754572623
DTSTART:20210310T153000Z
DTEND:20210310T163000Z
DESCRIPTION:Contact jjh348@cornell.edu for Zoom login info.\n\nSponsored by
  Cornell Tech and The School of Electrical and Computer Engineering\n\nRet
 hinking Deep Learning Computations: From AutoML to Hardware\n\nAbstract:\n
 \nThe explosion and availability of data has created a new computation par
 adigm based on deep learning. Consequently\, we need to rethink both softw
 are and hardware to make these computations possible\, and to keep up with
  the ever-increasing computation demand. In this talk\, I will describe ho
 w we use automated machine learning (AutoML) to enable on-device AI throug
 h neural architecture search\, compression\, hardware modeling and efficie
 nt search algorithms. Next\, I will give an overview of my experience in d
 esigning hardware and compilers for deep learning acceleration – I will 
 focus on a new automated codesign methodology that simultaneously improves
  efficiency and accuracy. Finally\, I will focus on reconfigurable devices
  like FPGAs. I will describe how an embedded network-on-chip can transform
  FPGAs into a general-purpose computation platform well-suited for deep le
 arning.\n\nBio:\n\nMohamed is a research team lead at the Samsung AI Cente
 r in Cambridge UK\, working on the codesign of deep learning algorithms an
 d hardware. Before that\, he was at Intel building an FPGA-based accelerat
 or and compiler for deep neural networks. Mohamed did his PhD at the Unive
 rsity of Toronto\, during which he was awarded the Vanier Canada Graduate 
 scholarship and three best paper awards for his work on embedded networks-
 on-chip for FPGAs.
LOCATION:
SUMMARY:ECE/Cornell Tech Seminar - Mohamed Abdelfattah\, University of Toro
 nto
URL;VALUE=URI:https://events.cornell.edu/event/ececornell_tech_seminar_-_mo
 hamed_abdelfattah_university_of_toronto
CATEGORIES:Seminar
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