Track 10 Chair

 

Yoichi Tomioka, The University of Aizu, Japan

Track 10 PC members

• Motoki Amagasaki, Kumamoto University, Japan
• Masayuki Hiromoto, Kyoto 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