SIGDA Live is a series of webinars, launched monthly or bi-monthly, on topics (either technical or non-technical) of general interest to the SIGDA community. The talks in general fall on the last Wednesday of a month, and last about 45 minutes plus 15 minutes Q&A. Speaker and topic nominations are welcome and should be sent to email@example.com. All past talks are archived through our Youtube channel at: https://www.youtube.com/channel. Each year we recognize one speaker with the “Most Influential Speaker of the Year” award.
Organizers: Yiyu Shi (University of Notre Dame), Qinru Qiu (Syracuse University)
Technical support: Bei Yu (Chinese University of Hong Kong)
Coming Up Next:
- Prof. Hai “Helen” Li (Duke University)
- March 28 (Wednesday) 9am Eastern Standard Time
- Talk title: Brain Inspired Computing: The Extraordinary Voyages in Known and Unknown Worlds
- Abstract:Human brain is the most sophisticated organ that nature ever builds. Building a machine that can function like a human brain, indubitably, is the ultimate dream of a computer architect. Although we have not yet fully understood the working mechanism of human brains, the part that we have learned in past seventy years already guided us to many remarkable successes in computing applications, e.g., artificial neural network and machine learning. The recently emerged research on “neuromorphic computing”, which stands for hardware acceleration of brain-inspired computing, has become one of the most active areas in computer engineering. The talk will start with a background introduction of neuromorphic computing, followed by examples of hardware acceleration schemes of learning and neural network algorithms and memristor-based computing engine. I will also share our prospects on the future technology challenges and advances of neuromorphic computing.
- Bio: Hai “Helen” Li received the B.S. (1998) and M.S. (2000) degrees from Tsinghua University, Beijing, China, and the Ph.D. degree (2004) from the Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA. She is currently Clare Boothe Luce Associate Professor with the Department of Electrical and Computer Engineering at Duke University, Durham, NC, USA. She was with Qualcomm Inc., San Diego, CA, USA, Intel Corporation, Santa Clara, CA, Seagate Technology, Bloomington, MN, USA, the Polytechnic Institute of New York University, Brooklyn, NY, USA, and the University of Pittsburgh, Pittsburgh, PA, USA. She has authored or co-authored over 200 technical papers published in peer-reviewed journals and conferences and holds 70+ granted U.S. patents. She authored a book entitled Nonvolatile Memory Design: Magnetic, Resistive, and Phase Changing (CRC Press, 2011). Her current research interests include memory design and architecture, neuromorphic architecture for brain-inspired computing systems, and architecture/circuit/device cross-layer optimization for low power and high performance. Dr. Li serves as an Associate Editor of TVLSI, TCAD, TODAES, TMSCS, TECS, CEM, TCAS-II and the IET Cyber-Physical Systems: Theory & Applications. She has served as organization committee and technical program committee members for over 30 international conference series. She received the NSF CAREER Award (2012), the DARPA YFA Award (2013), TUM-IAS Hans Fisher Fellowship from Germany (2017), seven best paper awards and another seven best paper nominations. Dr. Li is a senior member of IEEE and a distinguished member of ACM.
- News release: TBD
Please register here if you wish to attend the talk (required). The link of the talk will be sent in due course to the registrants only.