Program
■13:00-13:10
Akira Hirose (IIIEE, UTokyo)
Opening speech
■13:10-13:50
Gouhei Tanaka (IIIEE, UTokyo)
"Energy Efficient Computing with Recurrent Neural Networks"
■13:50-14:30
Toshiyuki Yamane (IBM Research - Tokyo)
"Industrial Applications of Physical Reservoir Computing"
■14:30-15:00 Break
■15:00-15:40
Jean Benoit Heroux (IBM Research - Tokyo)
"Photonic Implementations of Reservoir Computing"
■15:40-16:20
Ryosho Nakane (IIIEE, UTokyo)
"On-Chip Spin-Wave-Based Device for Machine-Learning Data Processing"
■16:20-16:30
Daiju Nakano (IBM Research - Tokyo)
Concluding remark
Speakers
Gouhei Tanaka (The University of Tokyo)
He received the B.E. degree in mathematical engineering and the M.S. and Ph.D. degrees in complexity science from The University
of Tokyo, Tokyo, Japan, in 2000, 2002, and 2005, respectively. From 2011 to 2013, he was a Project Associate Professor with the Institute of Industrial Science,
The University of Tokyo. Since 2013, he has been a Project Associate Professor with the Graduate School of Engineering, The University of Tokyo. His current research interests include mathematical engineering, nonlinear science, network science, and their applications to realworld phenomena from complex systems viewpoint. Dr. Tanaka is a member of the IEEE Computational Intelligence Society.
Toshiyuki Yamane (IBM Research - Tokyo)
He received the B.S., M.S., and Ph.D. degrees in mathematical engineering and information physics from The University of Tokyo, Tokyo, Japan, in 1995, 1997, and 2000, respectively. In 2000, he joined IBM Research―Tokyo, Kawasaki, Japan. He has been involved in a variety of projects related to mathematical engineering based on statistics and signal processing. His current research interests include error corrections, wireless communications, and design methodology and performance analysis of the conventional and future bioinspired computing systems. Dr. Yamane is a member of the IEEE Communications Society.