Session Details
[22p-A302-1~15]FS.1 Focused Session "AI Electronics"
Fri. Sep 22, 2023 1:00 PM - 5:00 PM JST
Fri. Sep 22, 2023 4:00 AM - 8:00 AM UTC
Fri. Sep 22, 2023 4:00 AM - 8:00 AM UTC
A302 (KJ Hall)
Kenichi Kawaguchi(Fujitsu Limited), Takao Marukame(Toshiba)
[22p-A302-1][Young Scientist Presentation Award Speech] Embedding bifurcation structures into a pneumatic artificial muscle using physical reservoir computing
〇Nozomi Akashi1, Yasuo Kuniyoshi2, Taketomo Jo3, Mitsuhiro Nishida3, Ryo Sakurai3, Yasumichi Wakao3, Kohei Nakajima2 (1.Kyoto Univ., 2.Univ. Tokyo, 3.Bridgestone)
[22p-A302-2]Generalized Reservoir Computing
〇Tomoyuki Kubota1, Kohei Nakajima1 (1.The Univ. of Tokyo)
[22p-A302-3]Design Guidelines for Physical Reservoirs Considered by a Simple Physical Implementation
〇(M2)Yutaro Yamazaki1, Kentaro Kinoshita1 (1.Tokyo Univ. of Sci.)
[22p-A302-4]Model-free prediction of driven dynamical systems using reservoir computing
Kazuki Takashima1, 〇(P)Andre Roehm1, Takatomo Mihana1, Ryoichi Horisaki1, Makoto Naruse1 (1.Univ. of Tokyo)
[22p-A302-5]Ion-gating Reservoir Utilizing Magnetization Vector Manipulation
〇Wataru Namiki1, Daiki Nishioka1,2, Takashi Tsuchiya1, Tohru Higuchi2, Kazuya Terabe1 (1.NIMS, 2.Tokyo Univ. Sci.)
[22p-A302-6]Development of magneto-optical recording techinique for magneto-optical diffractive deep neural networks
〇(DC)Hotaka Sakaguchi1, Jian Zhang1, Riku Oya1, Reo Akagawa1, Juri Ikeda1, Satoshi Sumi2, Hiroyuki Awano2, Hirofumi Nonaka3, Fatima Zahra Chafi1, Takayuki Ishibashi1 (1.Nagaoka Univ. of Tech., 2.Toyota Tech. Inst., 3.Aichi Inst. of Tech.)
[22p-A302-7]Optical soft interface based on hyperdimensional computing
〇Kei Kitagawa1, Satoshi Sunada1, Tomoaki Niiyama1 (1.Kanazawa Univ.)
[22p-A302-8]Fast image processing in the GHz band using photonic reservoir computing
〇(M2)Tomoya Yamaguchi1, Keigo Takabayashi1, Tomoaki Niiyama1, Satoshi Sunada1 (1.Kanazawa Univ.)
[22p-A302-9]Evaluation of approximate reservoir computing using semiconductor laser with optical feedback
〇Tatsuki Ito1, Kazutaka Kanno1, Atsushi Uchida1 (1.Saitama Univ.)
[22p-A302-10]Replication of dynamics of semiconductor lasers using reservoir computing
〇Atsuya Kawakami1, Kazutaka Kanno1, Atsushi Uchida1 (1.Saitama Univ.)
[22p-A302-11]Experiments on physical deep learning based on optimal control with direct feedback alignment
〇Rin Nogami1, Kazutaka Kanno1, Tomoaki Niiyama2, Satoshi Sunada2, Atsushi Uchida1 (1.Saitama Univ., 2.Kanazawa Univ)
[22p-A302-12]Photonic reservoir computing system characteristics caused by nonlinearity in a weighted sum circuit
〇Koichi Sobue1, Natsuki Ando1, Kawori Sekine1, Kazuyuki Wada1, Satoshi Sunada2, Akifumi Kasamatsu3 (1.Meiji Univ., 2.Kanazawa Univ., 3.NICT)
[22p-A302-13]In-sensor reservoir computing using graphene/diamond photomemristors
Haruki Iwane1, 〇Kenji Ueda1 (1.Waseda Univ.)
[22p-A302-14]Ion-gating Reservoir Utilizing Monolayer Graphene Channel
〇(M1)Hina Kitano1,2, Nishioka Daiki1,2, Namiki Wataru1, Tsuchiya Takashi1,2, Higuchi Tohru2, Terabe Kazuya1 (1.NIMS, 2.Tokyo Univ. Sci.)
[22p-A302-15]Physical reservoir based on nanoscale CNT/HfO2/CNT junctions
〇(PC)Adha Sukma Aji1, Yutaka Ohno1 (1.Inst. of Materials and Systems for Sustainability, Nagoya Univ.)