Dr. Kosuge’s article on the AI processor workshop organized by IEEE Solid-State Dircuits Directions in August 2024 is published in the Fall 2024 special issue of IEEE Solid-State Society Magazine. You can see from here!
Dr. Kosuge’s article on the AI processor workshop organized by IEEE Solid-State Dircuits Directions in August 2024 is published in the Fall 2024 special issue of IEEE Solid-State Society Magazine. You can see from here!
Kawada-san who participated in our research group as an on-campus internship last year, gave an oral presentation at the international conference IEEE APC-CAS 2024. She presented an AI processor technology that enables low latency and low power feature extraction in general speech recognition AI functions.
Every year, Matsuo-Iwasawa Laboratory, Graduate School of Engineering, The University of Tokyo, organizes a Deep Learning Lecture Series for the general public. Prof. Kosuge was invited and gave a lecture titled “Semiconductor Ecosystem Supporting the Evolution of LLM.”. Details can be found Here.
At ESSERC 2024, our ex-member Dr. Shiba presented the results of his research on low-power AI processors. The method involves dynamically adjusting the operating range of the ADC in accordance with the neural network pruning ratio. A prototype SRAM-based compute in memory chip was fabricated with 28 nm CMOS process node by our selves. This is a joint research project with TSMC. Congratulations!
Our paper on low-power AI processors has been accepted to IEEE ESSERC (9/9~9/12, Belgium)!
Our Low-power AI Compute-in-Memory (CiM) paper has been accepted to IEEE Journal of the Electron Devices Society.
We presented the latest research results on area-saving AI processor at IEEE International Symposium on Circuits and Systems (ISCAS’24), Singapore. This technology adaptively switches between coarse- and fine-grain approximations of nonlinear functions, reducing the circuit area of nonlinear function processing by up to 93% while preventing accuracy degradation. Please see the photo.
In April 2024, lab members visited IBM and Stanford University to hold an international joint research workshop. For more details, please click here.
Prof. Kosuge presented “Tiny-ML Processor for Voice-Command Recognition Application,” at 2023 Symposium on VLSI Circuits! The presented AI processor is now on the news articles [Nikkei] [Nikkei X-tech] [PCWatch] [Yahoo! News].
Prof. Kosuge was interviewed by MIT Technology Review [Japan] and you can see the article on the web site! [Japanese only]
Link: The semiconductor researcher saves the power crisis from AI