BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:ECE Seminar by Zhengya Zhang
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260520T011822Z
UID:tag:localist.com\,2008:EventInstance_2577438
DTSTART:20170414T190000Z
DTEND:20170414T200000Z
DESCRIPTION:Associate Professor\, Department of Electrical Engineering and 
 Computer Science\n\nUniversity of Michigan\, Ann Arbor\n\nTitle: Sparse Sp
 iking Neuromorphic Hardware for Computer Vision\n\nAbstract: Hardware-base
 d neuro-inspired computing accelerators will likely become an essential pa
 rt of future mobile and autonomous devices to enable low-power and real-ti
 me cognitive processing\, such as computer vision and voice recognition. T
 o realize real-time processing\, the accelerator design can be massively p
 arallelized and tailored to the underlying algorithms. However\, massive p
 arallelism alone does not address the scalability and efficiency needed by
  future systems. In this work\, we make use of sparsity in designing a spi
 king sparse coding accelerator and a sparse convolutional neural network a
 ccelerator. By enabling new architectures and substantially reduce their c
 omplexity\, sparsity helps deliver the next order of magnitude improvement
  in performance and efficiency of machine learning hardware.\n\nBio: Zheng
 ya Zhang received the B.A.Sc. degree in computer engineering from the Univ
 ersity of Waterloo\, Canada\, in 2003\, and the M.S. and Ph.D. degrees in 
 electrical engineering from the University of California\, Berkeley\, in 2
 005 and 2009\, respectively. Since 2009\, he has been with the Department 
 of Electrical Engineering and Computer Science at the University of Michig
 an\, Ann Arbor\, where he is currently an Associate Professor. His researc
 h is in the area of low-power and high-performance VLSI circuits and syste
 ms for computing\, communications and signal processing. Dr. Zhang receive
 d the NSF CAREER Award in 2011\, the Intel Early Career Faculty Award in 2
 013\, the David J. Sakrison Memorial Prize for outstanding doctoral resear
 ch in EECS at UC Berkeley in 2009\, and the Best Student Paper Award at th
 e Symposium on VLSI Circuits in 2009. He serves as an Associate Editor for
  the IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
GEO:47.119629;-88.546303
LOCATION:Dow Environmental Sciences and Engineering Building\, 642
SUMMARY:ECE Seminar by Zhengya Zhang
URL;VALUE=URI:https://events.mtu.edu/event/ece_seminar_by_zhengya_zhang
CATEGORIES:Academics
CATEGORIES:Lectures/Seminars
END:VEVENT
END:VCALENDAR