Session Details

[11a-PB5-1~21]FS.1 Focused Session "AI Electronics"

Fri. Sep 11, 2026 11:00 AM - 12:30 PM JST
Fri. Sep 11, 2026 2:00 AM - 3:30 AM UTC
PB5 (2nd Gymnasium)

[11a-PB5-1]Evaluation of MTJ Arrays for Binary-Weight Neural Networks

〇(M1C)Yuya Kato1, Tatsuya Yamamoto2, Tomohiro Ichinose2, Takayuki Nozaki2, Shinji Yuasa2, Sumito Tsunegi1,3 (1.Kyutech, 2.AIST, 3.Neumorph center)

[11a-PB5-2]Improvement of solution-search performance of single-electron amoeba circuit for solving Traveling Salesman Problem

〇Ryo Takemoto1, Takahide Oya1,2 (1.Grad. School of Eng., YNU, 2.IMS, YNU)

[11a-PB5-3]Training of a magneto-optical diffractive neural network using the policy gradient method

〇(D)Tomonao Matsuya1, Fatima Zahra Chafi1, Takayuki Ishibashi1 (1.Nagaoka Univ. Tech)

[11a-PB5-4]Bayesian-Accelerated Monte Carlo Training of Magneto-Optical Diffractive Deep Neural Network

〇FatimaZahra Chafi1, Ayumu Hata1, Tomonao Matsuya1, Kanata Watanabe1, Taiga Morimoto2, Y Akiyama2, T Nobukawa3, N Funabashi3, Kenichi Aoshima3, Takayuki Ishibashi1 (1.Nagaoka Univ. Tech., 2.Toukai Univ., 3.NHK STRL)

[11a-PB5-5]Handwritten digit classification using a compact magneto-optical diffractive neural network

〇(M1)Ayumu Hata1, Sotaro Watanabe1, Kenichi Aoshima2, Kanata Watanabe1, Tomonao Matsuya1, Fatima Zahra Chafi1, Takayuki Ishibashi1 (1.Nagaoka Univ. of Tech., 2.NHK STRL)

[11a-PB5-6]RGB Multi-Wavelength Image Classification by MO Diffractive Deep Neural Network

〇Kanata Watanabe1, Fatima Zahra Chafi1, Takayuki Ishibashi1 (1.Nagaoka Univ. of Tech.)

[11a-PB5-7]Color classification of light directly irradiated to a solid electrolyte physical reservoir

〇Keisuke Yamashita1, Shintaro Ikegami1, Haruki Shibata1, Haruki Yamada1, Tsuyoshi Hasegawa1 (1.Waseda Univ.)

[11a-PB5-8]Visualization of Photo-Excited Dynamics in PR Layers Using ZnO Thin Films

〇Yuki Kimura1, Hiroaki Komatsu1, Shota Suzuki1, Takashi Ikuno1 (1.Toyko Unv. Sci.)

[11a-PB5-10]Fabrication of Dye-Sensitized Synaptic Devices with a Blocking Layer and Evaluation of Synaptic Behavior.

〇Yuya Tai1, Kana Ueda2,3, Hiroaki Komatsu1, Mutsumi Sugiyama2, Takashi Ikuno1 (1.Grad. School of Adv. Eng., Tokyo Univ. of Sci., 2.Grad. School of Sci. and Tech., Tokyo Univ. of Sci., 3.JSPS Research Fellow)

[11a-PB5-11]Self-powered dynamic vision sensing in a monolithic dye-sensitized solar cell array

〇(PC)Hiroaki Komatsu1, Kanatsuka Tomotari1, Takashi Ikuno1 (1.Tokyo Univ. Science.)

[11a-PB5-13]Hardware Development for a Real-Time Rock–Paper–Scissors Recognition System

〇(M1)Sota Sato1, Tsubasa Nishikawa1, Takao Fukuda1, Tsuyoshi Hasegawa1 (1.Waseda Univ)

[11a-PB5-14]Origin of the time constants in a liquid-crystal physical reservoir

〇Kanon Nakazawa1, Tsuyoshi Hasegawa1 (1.Waseda Univ.)

[11a-PB5-15]Design of single-electron reaction-diffusion circuit for implementing Fredkin gate

〇Tatsuki Ueno1, Takahide Oya1,2 (1.Grad School Eng. Sci, Yokohama Nat'l Univ., 2.IMS, Yokohama Nat'l Univ.)

[11a-PB5-16]Analysis of Arithmetic and Memory Reduction Effects in Spiking Neural Networks using Difference Encoding and 1-bit Quantization

〇Yoshinari Wada1, Seiji Adachi1, Tetsuro Mizuno1, Kota Ando1, Tetsuya Asai1, Takao Marukame1 (1.Hokkaido Univ.)

[11a-PB5-17]Anomaly Detection of Time-series Data with Reservoir Computing in Neural Network Recognition

〇Seiji Adachi1, Yoshinori Wada1, Tetsuro Mizuno1, Kota Ando1, Tetsuya Asai1, Takao Marukame1 (1.Hokkaido Univ.)

[11a-PB5-18]Neuron Circuit with Graphene-Sumanene-Graphene Synapses based on In-Memory Computing

〇Oliver Aaron Velasco1, Hyunjun Kim2, Yuichiro Mitani2, Kota Ando1, Tetsuya Asai1, Takao Marukame1 (1.Hokkaido Univ., 2.Tokyo City Univ.)

[11a-PB5-19]Enhancing Error Resilience of AI on Low-Power FP-SRAM-CIM Using Error Detection

〇Tetsuro Mizuno1, Seiji Adachi1, Yoshinari Wada1, Ayane Matsuzaki1, Kota Ando1, Tetsuya Asai1, Takao Marukame1 (1.Hokkaido Univ.)

[11a-PB5-20]Processing Time Reduction based on Hardware Implementation of Reservoir Computing

〇Shota Ueno1, Ayane Matsuzaki1, Ryoichi Yuki1, Kota Ando1, Tetsuya Asai1, Takao Marukame1 (1.Hokkaido Univ.)

[11a-PB5-21]Improving anomaly detection performance using reservoir computing

〇Ryoichi Yuki1, Shota Ueno1, Ayane Matsuzaki1, Kota Ando1, Tetsuya Asai1, Takao Marukame1 (1.Hokkaido Univ.)