A deep learning accelerator design: Toward vision transformer

on-demand

TS3-02

Technical

A deep learning accelerator design: Toward vision transformer

With the development of deep learning, the market for "edge AI" including embedded systems is expected to expand until FY'25. Since edge AI needs to process a large number of operations on limited computational resources, data structures and architectures are being researched and developed. In this talk, we will summarize the hardware configuration method, which is being roughly divided into three types, and the analysis results of vision transformer development, which has been rapidly researched this year.

Speaker

Tokyo Institute of Technology Associate Professor

/ Tokyo Artisan Intelligence CEO

Hiroki Nakahara

He received the B.E., M.E., and Ph.D. degrees in computer science from Kyushu Institute of Technology, Fukuoka, Japan, in 2003, 2005, and 2007, respectively. He has held research/faculty positions at Kyushu Institute of Technology, Iizuka, Japan, Kagoshima University, Kagoshima, Japan, and Ehime University, Ehime, Japan. Now, he is an associate professor at Tokyo Institute of Technology, Japan, and CEO/CRO/Co-Founder at Tokyo Artisan Intelligence Corp., Japan. He is a member of the IEEE, the ACM, and the IEICE. He interests in a deep learning accelerator.