Session Details
[16p-A33-1~16]FS.1 Focused Session "AI Electronics"
Mon. Sep 16, 2024 1:30 PM - 6:00 PM JST
Mon. Sep 16, 2024 4:30 AM - 9:00 AM UTC
Mon. Sep 16, 2024 4:30 AM - 9:00 AM UTC
A33 (TOKI MESSE 3F)
Kentaro Kinoshita(Tokyo Univ. of Sci.), Takao Marukame(Hokkaido Univ.)
[16p-A33-1][INVITED] Low-power IoT with neuromorphic technology
〇Takeaki Yajima1 (1.Kyushu Univ.)
[16p-A33-2]Realtime handwriting anomaly detection using an FPGA-based spiking reservoir
〇Hisashi Inoue1, Hiroto Tamura2, Ai Kitoh1, Xiangyu Chen3, Zolboo Byambadorj3, Takeaki Yajima4, Yasushi Hotta5, Tetsuya Iizuka3, Gouhei Tanaka2,6, Isao Inoue1 (1.AIST, 2.Univ. Tokyo (IRCN), 3.Univ. Tokyo (Dept. Engineering), 4.Kyushu Univ., 5.Univ. Hyogo, 6.Nagoya Inst. Tech.)
[16p-A33-3]Physical Reservoir Operation Utilizing Polarization Change in a Liquid Crystal
〇Atsuhiro Mizuno1, Tsuyoshi Hasegawa1, Shusaku Nagano2 (1.Waseda Univ., 2.Rikkyo Univ.)
[16p-A33-4]Research on object recognition and anomaly detection using Ag2S reservoir
〇Kaiki Yoshimura1, Tsuyoshi Hasegawa1 (1.Waseda Univ.)
[16p-A33-5]Optical character recognition using three-dimensional silver sulfide physical reservoir
〇Yuki Ohno1, Tsuyoshi Hasegawa1 (1.Waseda Univ.)
[16p-A33-6]Classification of irradiated light patterns using a Cu-doped Ta2O5 reservoir
〇Masaru Hayakawa1, Tsuyoshi Hasegawa1 (1.Waseda Univ.)
[16p-A33-7]Physica Reservoir Made of Random Network of Gold Nanoparticles Operated in Liquid Nitrogen Bath
Kaito Kobayashi1, Yuki Hayashi1, Hiroshi Shimada1, 〇Yoshinao Mizugaki1 (1.Univ. Electro-Comm.)
[16p-A33-8]Improved performance of the Coulomb-blockade-based gold-nanoparticle reservoirs connected in parallel
〇(M2)Yuki Hayashi1, Kaito Kobayashi1, Hiroshi Shimada1, Yoshinao Mizugaki1 (1.The Univ. of Electro-Commun.)
[16p-A33-9]Quantification of Potential Relationship between Output Current Waveforms, Data Dimensionality, and Machine Learning Performance in Ionic Liquid-Based Physical Reservoir Device Demonstrated via PCA
〇Yuki Kubo1,2, Shunsuke Miyamoto3, Hisashi Shima2, Toshiki Nokami3, Yasuhisa Naitoh2, Hiroyuki Akinaga2, Yumeng Zheng1, Kentaro Kinoshita1 (1.Tokyo Univ. of Sci., 2.AIST, 3.Tottori Univ.)
[16p-A33-10]Origin of Information Processing Performance in Ionic Liquid-based Physical Reservoir Device Revealed by Three-Electrode Micro-Electrochemical Cell
〇Yuki Kubo1,2, Shunsuke Miyamoto3, Shima Hisashi2, Toshiki Nokami3, Yasuhisa Naitoh2, Hiroyuki Akinaga2, Yumeng Zheng1, Kentaro Kinoshita1 (1.Tokyo Univ. of Sci., 2.AIST, 3.Tottori Univ.)
[16p-A33-11]Operating Current Fluctuation of Ionic Liquid-based Physical Reservoir Device and Robustness for Non-ideal Input Signal
〇Hisashi SHIMA1, Yuki Kubo1,2, Shunsuke Miyamoto3, Toshiki Nokami3, Yasuhisa Naitoh1, Hiroyuki Akinaga1, Zheng Yumeng2, Kentaro Kinoshita2 (1.AIST, 2.Tokyo Univ. of Sci., 3.Tottori Univ.)
[16p-A33-12]Precise-prediction of Chaotic Time-series Data, Achieved with an in situ Manipulaton of Chaotic Interfered Spin Waves
〇Wataru Namiki1, Daiki Nishioka1, Yuki Nomura2, Kazuo Yamamoto2, Kazuya Terabe1, Takashi Tsuchiya1 (1.NIMS, 2.JFCC)
[16p-A33-13]High-Precision Prediction of Chaotic Time Series Achieved by Reservoir Computing Utilizing Interfered Spin Wave
〇(B)Sota Hikasa1,2, Wataru Namiki1, Daiki Nishioka1, Tohru Higuchi2, Kazuya Terabe1, Takashi Tsuchiya1,2 (1.NIMS, 2.Tokyo Univ. of Sci)
[16p-A33-14]Development of an ultra-fast operating ion-gating reservoir based on the electrical double layer effect at the graphene/ion-gel interface.
〇Daiki Nishioka1, Hina Kitano1,2, Wataru Namiki1, Kazuya Terabe1, Takashi Tsuchiya1 (1.NIMS, 2.Tokyo Univ. Sci.)
[16p-A33-15]Physical Reservoir Computing by All-solid-state Electric Double Layer Transistor with Graphene Channel
〇(M2)Hina Kitano1,2, Nishioka Daiki1, Namiki Wataru1, Kazuya Terabe1, Takashi Tsuchiya1 (1.NIMS, 2.Tokyo Univ. Sci.)
[16p-A33-16]Recognition of hand-written digits using graphene/diamond reservoirs
Haruki Iwane1, 〇Kenji Ueda1 (1.Waseda Univ.)