2023.10.20
Conference Presentation at Silicon Technology Tutorial 2023（October 28, 2023）
竹内健, “AIチップの基礎と最新動向”, シリコンテクノロジー・チュートリアル2023, 2023年10月28日.【招待講演】
2023.09.24
Invited Talk at 2023 International Conference on IC Design and Technology (ICICDT)（September 26, 2023）
Ken Takeuchi, “Analog Computation-in-Memory (CiM) for AI Application,” 2023 International Conference
2023.09.24
Conference Presentation at 20th European Radar Conference（September 21, 2023）
Kazuhide Higuchi and Ken Takeuchi, “A Beat Signal Processing System with Parabolic Frequency Chirp R
2023.09.24
Conference Presentation at 84th JSAP Fall Meeting 2023（September 20, 2023）
Yinghao Sun, Kazuhide Higuchi, Chihiro Matsui and Ken Takeuchi, “Improvement in Inference Accuracy i
2023.08.17
One Invited Talk and Five Conference Presentations at International Conference on Solid State Devices and Materials (SSDM)（September 5-8, 2023）
Ken Takeuchi, “Analog Computation-in-Memory (CiM) for Neuromorphic Computing,” International Confere
2023.08.17
Invited Talk at IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA)（August 30, 2023）
Ken Takeuchi, “Computation-in-Memory Architecture for AI Accelerator,” IEEE Non-Volatile Memory Syst
2023.07.01
Journal Publication at IEICE Transactions on Electronics（July 1, 2023）
Shinsei Yoshikiyo, Naoko Misawa, Kasidit Toprasertpong, Shinichi Takagi, Chihiro Matsui and Ken Take
2023.06.05
Conference Presentation at IEEE Silicon Nanoelectronics Workshop (SNW)（June 11, 2023）
Shinsei Yoshikiyo, Hiroshi Horiguchi, Chihiro Matsui and Ken Takeuchi, “Machine Learning-based Accur
2023.05.04
Three Conference Presentations at LSI ＆ System Workshop 2023（May 9-10, 2023）
三澤奈央子，松井千尋, 竹内健, “組合せ最適化問題の最大カット問題とナップサック問題が許容する量子化ビット数とデバイスエラー耐性を考慮したReRAMを用いたコンピュテーション・イン・メモリ”, LS
2023.04.19
Conference Presentation at IEEE International Memory Workshop（May 21-24, 2023）
Takuto Nishimura, Yuya Ichikawa, Akira Goda, Naoko Misawa, Chihiro Matsui and Ken Takeuchi, “Stochas
2023.04.01
Plenary Talk at IEEE International Symposium on VLSI Technology, Systems and Applications (VLSI-TSA)（April 20, 2023）
Ken Takeuchi, “Neuromorphic Computing with Computation-in-Memory, CiM,” IEEE International Symposium
2023.04.01
Two Journal Publications at Japanese Journal of Applied Physics（JJAP）(February 6-14, 2023）
Chihiro Matsui, Eitaro Kobayashi, Naoko Misawa and Ken Takeuchi, “Comprehensive analysis on error-ro
2023.03.26
Two Conference Presentations at IEEE International Reliability Physics Symposium (IRPS)（March 26-30, 2023）
Ken Takeuchi, “Neuromorphic Computation-in-Memory System,” IEEE International Reliability Physics Sy
2023.03.26
Three Conference Presentations at 7th IEEE Electron Devices Technology and Manufacturing (EDTM) Conference 2023（March 7-10, 2023）
Ayumu Yamada, Naoko Misawa, Shunsaku Muraoka, Ken Kawai,, Chihiro Matsui and Ken Takeuchi, “TaOX ReR
2023.03.26
Eight Conference Presentations at 70th JSAP Spring Meeting 2023（March 15, 2023）
合田晃, 松井千尋, 竹内健, “FG型ニューロンを用いた加算ネットワークにおける確率共鳴効果”, 第70回応用物理学会春季学術講演会, 15a-B414-3, 2023年3月15日.
山田歩, 三
2022.12.13
Invited Talk at JST-NSTC Workshop 2022: Nanoelectronics and System Integration for AI（December 19, 2022）
Ken Takeuchi, “Memory-Centric Computing”, JST-NSTC Workshop 2022: Nanoelectronics and System Integra
2022.12.13
Journal Publication at IEEE Journal of the Electron Devices Society（September 13, 2022）
Akira Goda, Chihiro Matsui and Ken Takeuchi, “A Stochastic Leaky-Integrate-and-Fire Neuron Model Wit
2022.12.13
Journal Publication at IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences（September 5, 2022）
Chihiro Matsui and Ken Takeuchi, “Heterogeneous Integration of Precise and Approximate Storage for E
2022.12.03
Invited Talk at International Symposium on Semiconductor Manufacturing (ISSM)（December 12, 2022）
Akira Goda, Chihiro Matsui and Ken Takeuchi, “Inter Spike Interval and Stochasticity Engineering of
2022.12.03
Two Conference Presentations at ComSys2022（December 5, 2022）
越能俊介, 三澤奈央子, 松井千尋, 竹内健, “Spiking Pointwise Convolutionを用いたニューラルネットワークによるイベントデータおよびフレーム画像の未来予測,” 第34回
