Session Details

[23a-P09-1~9]FS Focused Session "AI Electronics" (Poster)

Sat. Mar 23, 2024 9:30 AM - 11:30 AM JST
Sat. Mar 23, 2024 12:30 AM - 2:30 AM UTC
P09 (Building No. 9)

[23a-P09-1]Waveform classification using a physical reservoir made of gold-nanoparticle random arrays exhibiting nonlinear characteristics due to the Coulomb blockade

〇(M1)Yuki Hayashi1, Kaito Kobayashi1, Masataka Moriya1, Hiroshi Shimada1, Yoshinao Mizugaki1 (1.UEC Tokyo)

[23a-P09-2]Research on anomaly detection using a pressure sensor and a Ag2S reservoir

〇Kaiki Yoshimura1, Tsuyoshi Hasegawa1 (1.Waseda Univ.)

[23a-P09-3]Relationship between PPF index and short-term memory in physical reservoir computing with artificial synapse

〇(D)Hiroaki Komatsu1, Takumi Ogawa1, Norika Hosoda1, Takashi Ikuno1 (1.Tokyo Univ. Science.)

[23a-P09-4]The effect of crystallinity and morphology on PPF index of ZnO-based artificial optical synapses

〇(B)Toshiya Kounoue1, Hiroaki Komatsu1, Mariko Murayama2, Xinwei Zhao2, Takashi Ikuno1 (1.Tokyo Univ. of Science Advanced Engineering, 2.Tokyo Univ. of Science Science Division)

[23a-P09-5]Improvement of a Three-Dimensional Physical Reservoir Using Silver Sulfide Particles

〇Yuki Ohno1, Tsuyoshi Hasegawa1 (1.Waseda Univ.)

[23a-P09-6]Basic Study of Reservoir Computing with Integrating Sphere

〇(B)Keito Ito1, Takeo Maruyama1 (1.Kanazawa Univ.)

[23a-P09-7]Film thickness and temperature dependence of a Ag-doped Ta2O5 physical reservoir

〇Risa Gobara1, Tuyoshi Hasegawa1 (1.Wseda Univ.)

[23a-P09-8]Optimization of Magneto-Optical Diffraction Deep Neural Networks (2)

〇(M1)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.)

[23a-P09-9]Magneto-Optical Diffractive Deep Neural Networks utilizing Fourier Transform

〇(M1C)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.)