Session Details
[17a-A33-1~11]FS.1 Focused Session "AI Electronics"
Tue. Sep 17, 2024 9:00 AM - 12:00 PM JST
Tue. Sep 17, 2024 12:00 AM - 3:00 AM UTC
Tue. Sep 17, 2024 12:00 AM - 3:00 AM UTC
A33 (TOKI MESSE 3F)
Toshikazu Hashimoto(NTT), Takao Marukame(Hokkaido Univ.)
[17a-A33-1]High Fidelity Programmable Photonic Unitary Processor and Its Application to Signal Processing in Long-Haul Space-Division-Multiplexed Transmission
〇Mitsumasa Nakajima1, Kohki Shibahara2, Kohei Ikeda3, Akira Kawai2, Takayuki Kobayashi2, Yutaka Miyamoto2, Toshikazu Hashimoto1 (1.NTT DTL, 2.NTT NIL, 3.NTT BRL)
[17a-A33-2]Implementation of Photonic Extreme Learning Machine with Intermodulation Distortion Caused by Subcarrier Modulation
〇Hideaki Tanaka1, Takashi Kan1, Hidenori Takahashi1 (1.KDDI Research, Inc.)
[17a-A33-3]Realtime prediction based on all-photonic reservoir circuit integrated with a photonic readout layer
〇(M2)Keigo Takabayashi1, Takeo Maruyama1, Tomoaki Niiyama1, Satoshi Sunada1 (1.Kanazawa Univ.)
[17a-A33-4]Development of optical hardware and reconstruction algorithms for high-speed imaging to visualize nanosecond phenomena
〇(M1)Shin Motooka1, Tomoya Yamaguchi, Tomoaki Niiyama1, Satoshi Sunada1 (1.Kanazawa Univ.)
[17a-A33-5]Optical sensing based on Hyperdimensional Computing
〇(M1)Jiseon Hong1, Kei Kitagawa, Tomoaki Niiyama1, Satoshi Sunada1 (1.Kanazawa Univ.)
[17a-A33-6]Replication of laser dynamics with noise using reservoir computing
〇Keisuke Kase1, Atsuya Kawakami1, Atsushi Uchida1 (1.Saitama Univ.)
[17a-A33-7]Analysis on Surface Myoelectric Signal and Motion Inference Utilizing Reservoir Computing Framework
〇Yusuke Hoshika1, Seiya Kasai1 (1.Hokkaido Univ.)
[17a-A33-8]Accurate Estimation of Traveling Distance Based on Physical Sensations for Behavior Development in Amoeba-inspired Autonomous Walking Robot
〇(M2)Kazuki Matsuda1, Seiya Kasai1 (1.Hokkaido Univ.)
[17a-A33-9]Relationship between coupling weights and computational performance
in piezoelectric MEMS reservoir
〇Takeshi Yoshimura1, Taiki Haga1, Norifumi Fujimura1, Kensuke Kanda2, Isaku Kanno3 (1.Osaka Metro. Univ., 2.U. Hyogo, 3.Kobe Univ.)
[17a-A33-10]Relationship between nonlinearity and learning performance
in piezoelectric resonator reservoir
〇Takehiro Shono1, Norifumi Fujimura1, Takeshi Yoshimura1 (1.Osaka Metro. Univ.)
[17a-A33-11]Physical reservoir computing using piezoelectric AC current sensor
〇(M1)Kei Nishimura1, Norifumi Fujimura1, Takeshi Yoshimura1 (1.Osaka Metro. Univ.)