知能機械情報学特別講義II

4/6 Masashi Sugiyama, Overview of AI Research and Introduction of RIKEN-AIP 4/13 Lin Gu, Applying AI in Medical Research 4/20 Jingfeng Zhang, Trustworthy Machine Learning 4/27 Shuhei Kurita, Natural Language Processing and Applications 5/11 Yasuo Tabei, Succinct Data Structure for Scalable Knowledge Discoveries 5/18 Qibin Zhao, Tensor Factorization and Tensor Networks for Machine Learning 5/25 Qibin Zhao, Interpretable and Adversarial Machine Learning 6/8 Tatsuya Harada, Understanding Visual Information Using Machine Learning 6/15 Tomasz Rutkowski, AI and human brain: Brain-computer Interface (BCI) Applications 6/22 Tomasz Rutkowski, AI for Time-series: Healthcare, Multimedia, and VR/AR Applications 6/29 Ha Quang Minh, Geometrical Methods in Machine Learning and Applications I 7/6 Ha Quang Minh, Geometrical Methods in Machine Learning and Applications II 7/13 Stefano Kalonaris, Deep Learning for Music Applications

On-line lecture via zoom (the link will be announced in UTAS and ITC-LMS)

Homeworks Class Participation

non

機械学習プロフェッショナルシリーズ，講談社

This lecture will be an on-line zoom lecture.

This lecture will be 90 minutes, 15:10-16:40.