Conference
One paper is accepted to APDCM 2022
Our paper entitled “APC-SCA: A Fully-Parallel Annealing Algorithm with Autonomous Pinning Effect Control” has been accepted to APDCM2022. Daiki Okonogi will give an oral presentation at the conference.
Conference
Talk@IPSJ-ONE, The 84th National Convention of IPSJ
Assistant Prof. Kawamura gave a talk at IPSJ-ONE on March 5, 2022. IPSJ-ONE is an event of the 84th National Convention of IPSJ. He introduced “combinatorial optimization & Ising machine” for beginners. IPSJ-ONE Web site (Japanese only) IPSJ-ONE YouTube archive Read more…
Conference
Invited Talks @The 84th National Convention of IPSJ
Professor Motomura and Associate Professor Yu gave invited talks at The 84th National Convention of IPSJ held virtually on March 4.
Magazine
Articles published in IPSJ magazine
Two articles, one written by Professor Motomura and the other by Associate Professor Yu, have been published in the March issue of the magazine of the Information Processing Society of Japan (IPSJ).
Public Relations
AI chip “Hiddenite” covered by major news outlets
Along with the presentation at ISSCC, we have reported our research results in a press release of Tokyo Tech. This has been covered by some major news outlets including Nikkei Shimbun and Nikkei xTECH. Tokyo Tech’s press release Nikkei xTECH
Conference
AI chip “Hiddenite” unveiled at ISSCC
At the 2022 International Solid-State Circuits Conference (ISSCC), known as the “Olympics of semiconductor integrated circuits”, we have presented “Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet” and provided a demonstration Read more…
Award
Professor Motomura named IEEE Fellow
At the 2022 International Solid-State Circuits Conference (ISSCC), Professor Motomura was awarded the IEEE Fellow status for his “contributions to memory-logic integration of reconfigurable chip architecture”. Congratulations!
Conference
Invited Talk@The 31st AI Chip Design Center Forum
Prof. Motomura gave an invited talk entitled “Trends in Machine Learning Accelerators in HotChips2021: Tokyo Tech’s DNN Inference Accelerator Announcement and Summary of other Presentations in the Field” at The 31st AI Chip Design Center Forum held virtually on January Read more…
Award
Outstanding Presentation Award from the Department of Information and Communications Engineering
Congrats to Yasuyuki Okoshi on receiving the Outstanding Presentation Award for his pre-midterm research proposal presentation from the Department of Information and Communications Engineering. Date: December 1, 2021 Title: Research on High-Precision and Lightweight HNN using Multi-Bit Masks Congratulations!
Award
Best paper award at FPT 2021
Our paper entitled “A High-Performance and Flexible FPGA Inference Accelerator for Decision Forests Based on Prior Feature Space Partitioning” received the best paper award at FPT 2021. Congratulations to Assistant Professor Thiem Van Chu! FPT 2021 (held virtually on 6th-10th Read more…