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Re-imagining System Design for Brain-inspired Computing

Prof Bipin Rajendran from Electrical & Computer Engineering at New Jersey Institute of Technology
When Mar 09, 2018
from 11:00 AM to 12:05 PM
Where Barlow Room
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His talk is on a very timely subject "Re-imagining System Design for Brain-inspired Computing".

 The dream of human-level artificial intelligence (AI) may well be within reach, thanks to the far-reaching advances in deep learning over the past decade. However, traditional von Neumann computing systems are ill-suited for training deep networks, as the need to continuously shuttle large amounts of data between the physically separated memory and logic engines limits the achievable performance. This has also restricted their adoption for stand-alone applications which require learning in the field such as embedded sensing, telecommunications, and robotics. Hence, a fundamental re-imagining of the algorithmic paradigms and system architecture is necessary to develop learning platforms for energy and memory constrained applications.

 You are all welcome to join us in the seminar and ask questions. Please find more details below.

 Bio: Bipin Rajendran received a B.Tech degree from I.I.T. Kharagpur in 2000, and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2003 and 2006, respectively.

He was a Master Inventor and Research Staff Member at IBM T. J. Watson Research Center in New York during 2006-'12 and a faculty member in the Electrical Engineering Department at I.I.T.

Bombay during 2012-'15. His research focuses on building algorithms, devices and systems for brain-inspired computing. He has authored over 60 papers in peer-reviewed journals and conferences, and has been issued 55 U.S. patents. He is currently an Associate Professor of Electrical & Computer Engineering at New Jersey Institute of Technology.