Wednesday,
Dec 12, 2007
IEEE
Computational Intelligence Society
Silicon Learning Machines
Speaker: Prof. Gert
Cauwenberghs, UCSD
About the program: Learning and adaptation are key to biological and artificial intelligence in complex and
variable environments. Advances both in machine learning and in
system-on-chip very large scale integration (VLSI) make it now possible to
construct silicon learning machines with pervasive real-time adaptive
intelligence that embed learning mechanisms at the cellular and sensory level,
and that attain high levels of efficiency in large-scale parallel adaptive
computation. The talk will focus on kernel learning machines for pattern
recognition from sparse training examples, which include support vector
machines and extend to sparse probability estimation and maximum a posteriori
forward sequence decoding. Implemented in massively parallel analog and digital
VLSI, these learning systems-on-chips offer throughput and energy efficiency in
the TeraMACS (10^12 multiply accumulates per second)
per milliwatt range. Applications will be
illustrated with examples in vision and speech processing.
About the Speaker:
Gert Cauwenberghs
received the Ph.D. degree in electrical engineering from California Institute
of Technology in 1994. He is Professor of Biology at University of California
San Diego where he directs the Integrated Systems
Neuroscience Laboratory. Previously he held positions as Professor of
Electrical and Computer Engineering at Johns Hopkins
University and as Visiting
Professor of Brain and Cognitive Science at Massachusetts Institute of
Technology. His research aims at advancing silicon adaptive microsystems to understanding of biological neural systems,
and to development of sensory and neural prostheses and brain-machine
interfaces. His activities include design and development of micropower analog and mixed-signal systems-on-chips
performing adaptive signal processing and pattern recognition. He
received the National Science Foundation Career Award in 1997, Office of Naval
Research Young Investigator Award in 1999, and Presidential Early Career Award
for Scientists and Engineers in 2000. He was Distinguished Lecturer of the IEEE
Circuits and Systems Society in 2003-2004, and chaired its Analog Signal
Processing Technical Committee in 2001-2002. He serves as Associate
Editor for IEEE Transactions on Circuits and Systems I, IEEE Transactions on
Neural Systems and Rehabilitation Engineering, and IEEE Sensors Journal.
Time/Place: Wednesday
Dec 12, 6:00 P.M. Lockheed Martin, 4770 Eastgate Mall
San Diego, California 92121. Food served starting at
6:00 p.m., talk will begin sharply at 6:30. Directions and lecture background materials
available at the SD CIS website. http://ewh.ieee.org/r6/san_diego/cis/
Information: Andrew Diamond (IEEE CIS San Diego
Chapter Chair) (858) 509-3115, adiamond@EnvisionSystemsLLC.com