Our paper entitled “Multicoated Supermasks Enhance Hidden Networks” has been accepted to ICML 2022. Our second year Master’s student Yasuyuki Okoshi will give a short presentation at the conference in July 2022. Congratulations! ICML 2022 (held in a hybrid format Read more…
Professor Motomura was awarded the 54th Ichimura Academic Award by the Ichimura Foundation for New Technology for his distinguished achievements and contributions to the development of science, technology, and industry in Japan. The theme of the award is “Pioneering research Read more…
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.
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…
Professor Motomura and Associate Professor Yu gave invited talks at The 84th National Convention of IPSJ held virtually on March 4.
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).
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
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…
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!
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…