Daisuke Kitakoshi received the BEng in Computer Science, the MSc (IT), and the Ph. D. degrees in Systems and Information Engineering from Hokkaido University, Japan, in 1998, 2000, and 2003. Currently, he is an associate professor in Department of Computer Science, National Institute of Technology, Tokyo College, Japan.
His current research interests include artificial intelligence, machine learning, data mining, and human-agent (robot) interaction. He is also engaging in researches on hybrid systems that contribute to adaptive behavior of agents in dynamic environments.
He is now belonging to National Central University in Taoyuan, Taiwan, as a visiting researcher since 2018.
Keynote title: Distinctive Research Trends of Artificial Intelligence in Japan
Abstract:
During the past decade, Artificial Intelligence (AI) technologies including machine learning algorithms have drastically developed with the improvement in computational performance, the exponential increase of training data required for appropriate learning, and the emergence/improvement of effective learning algorithms.
Under the above circumstances, many distinctive AI-related research projects are ongoing in a variety application fields in Japan.
This talk will briefly overview a historical background of AI research in Japan and introduce some typical research projects especially on (i) health care for older adults, (ii) body motion evaluation for athletes, and (iii) rescue robots.
How to apply conventional/novel machine learning algorithms to the above projects are also presented.