Track 10 Chair


Yoichi Tomioka, The University of Aizu, Japan

Track 10 PC members

  • Motoki Amagasaki, Kumamoto University, Japan
  • Hiroki Nakahara, Tokyo Institute of Technology, Japan
  • Yuichiro Shibata, Nagasaki University, Japan
  • Shinya Takamaeda-Yamazaki, Hokkaido University, Japan
  • Hakaru Tamukoh, Kyushu Institute of Technology, Japan
**in alphabetical order

Topics of Interest

The topics of interest of the track include, but are not limited to:

  • Sparse learning, personalization, and¬†feature extraction,
  • Deep learning with real-time and low-power efficiency,
  • Applications of deep learning on a smart mobile platform, and IoT devices,
  • Hardware acceleration for machine learning,
  • Synaptic plasticity and neuron motifs of learning dynamics,
  • Hardware emulation of brain