The 85th JSAP Autumn Meeting 2024
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Poster presentationFS Focused Session "AI Electronics" : FS Focused Session "AI Electronics" (Poster)

[18p-P06-1~11]FS Focused Session "AI Electronics" (Poster)

Wed. Sep 18, 2024 1:30 PM - 3:30 PM JST
Wed. Sep 18, 2024 4:30 AM - 6:30 AM UTC
P06 (Exhibition Hall A)

[18p-P06-1]Analysis of learning with various weight precisions for binary neural networks

〇Rei Kusunose1, Takao Marukame1, Kota Ando1, Tetsuya Asai1 (1.Hokkaido Univ.)
Comment()

[18p-P06-2]Compressive Sensing with Quantum Annealing

〇Shimpei Yamaguchi1, Wojciech Roga1, Masahiro Takeoka1 (1.Keio Univ.)
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[18p-P06-3]Comparison on Performance for Optical Convolutional Neural Networks and Photonic Reservoir Computing Using EO polymer/Si Hybrid Modulator

〇Akito Shinya1, Guo-Wei Lu2, Koji Kida3, Hiromu Sato2, Shiyoshi Yokoyama2, Junichi Fujikata1 (1.Tokushima Univ., 2.Kyushu Univ., 3.Kagawa Univ.)
Comment()

[18p-P06-4]Temperature Dependence of a Ag doped Ta2O5-based Physical Reservoir

〇(B)Rio Okuda1, Mei Endo1, Takao Fukuda1, Tsubasa Nishikawa1, Tsuyoshi Hasegawa1 (1.Waseda Univ.)
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[18p-P06-5]Fabrication of self-powered artificial optoelectronic synaptic device using DSCs and control of PPF indices by change in input light intensities

〇(M2)Norika Hosoda1, Hiroaki Komatsu1, Takashi Ikuno1 (1.Tokyo Univ. Science.)
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[18p-P06-6]The effect of time constant of photocurrent in ZnO thin films on memory capacity of physical reservoir

〇Toshiya Kounoue1, Hiroaki Komatsu1, Kotaro Takanashi1, Takashi Ikuno1 (1.Tokyo Univ. of Science)
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[18p-P06-7]Multiple-electron System Simulation for Implementation of Paper Device with CNT/POM Network

〇Shunya Watanabe1, Takahide Oya1,2 (1.Grad. School of Eng. Sci., Yokohama Nat'l Univ., 2.IMS, Yokohama Nat'l Univ..)
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[18p-P06-8]Simulation for parallel processing on magneto-otpcial diffractive deep neural network

〇(D)Hotaka Sakaguchi1, Hiroyuki Awano2, Hirofumi Nonaka3, Fatima Zahra Chafi1, Takayuki Ishibashi1 (1.Nagaoka Univ. of Tech., 2.Toyota Tech. Inst., 3.Aichi Inst. of Tech.)
Comment()

[18p-P06-9]Simulation of image processing for Magneto-Optical Diffraction Deep Neural Networks

〇Reo Akagawa1, Hotaka Sakaguchi1, Hirofumi Nonaka2, Hiroyuki Awano3, Fatima Zahara Chafi1, Takayuki Ishibashi1 (1.Nagaoka Univ. Tech., 2.Aichi Inst. Tech., 3.Toyota Tech. Inst.)
Comment()

[18p-P06-10]Comparison of magneto-optical diffractive deep neural networks and diffractive deep neural networks utilizing optical path differences

〇Juri Ikeda1, Hotaka Sakaguchi1, Hirofumi Nonaka2, Hiroyuki Awano3, Fatima Zahra Chafi1, Takayuki Ishibashi1 (1.Nagaoka Univ. Tech, 2.Aichi Inst. Tech., 3.Toyota Tech. Inst.)
Comment()
English Presentation

[18p-P06-11]Magneto-Optical diffractive deep neural Networks by Monte Carlo Method

〇FatimaZahra Chafi1, Hotaka Sakaguchi1, Hirofumi Nonaka2, Hiroyuki Awano3, Takayuki Ishibashi1 (1.Nagaoka Univ. Tech., 2.Aichi Inst. Tech., 3.Toyota Tech. Inst.)
Comment()
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