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  1. Article

    Open Access

    On-chip photonic decision maker using spontaneous mode switching in a ring laser

    Efficient and accurate decision making is gaining increased importance with the rapid expansion of information communication technologies including artificial intelligence. Here, we propose and experimentally ...

    Ryutaro Homma, Satoshi Kochi, Tomoaki Niiyama, Takatomo Mihana in Scientific Reports (2019)

  2. Article

    Open Access

    Generative adversarial network based on chaotic time series

    Generative adversarial networks (GANs) are becoming increasingly important in the artificial construction of natural images and related functionalities, wherein two types of networks called generators and disc...

    Makoto Naruse, Takashi Matsubara, Nicolas Chauvet, Kazutaka Kanno in Scientific Reports (2019)

  3. Article

    Open Access

    Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series

    Dynamic channel selection is among the most important wireless communication elements in dynamically changing electromagnetic environments wherein, a user can experience improved communication quality by choos...

    Shungo Takeuchi, Mikio Hasegawa, Kazutaka Kanno, Atsushi Uchida in Scientific Reports (2020)

  4. Article

    Open Access

    Adaptive model selection in photonic reservoir computing by reinforcement learning

    Photonic reservoir computing is an emergent technology toward beyond-Neumann computing. Although photonic reservoir computing provides superior performance in environments whose characteristics are coincident ...

    Kazutaka Kanno, Makoto Naruse, Atsushi Uchida in Scientific Reports (2020)

  5. No Access

    Chapter

    Performance Improvement of Delay-Based Photonic Reservoir Computing

    The techniques for performance improvement of delay-based reservoir computing with photonic systems are proposed and summarized. A chaos input mask signal is introduced to improve the performance of a time-ser...

    Kazutaka Kanno, Atsushi Uchida in Reservoir Computing (2021)

  6. Article

    Open Access

    Photonic reinforcement learning based on optoelectronic reservoir computing

    Reinforcement learning has been intensively investigated and developed in artificial intelligence in the absence of training data, such as autonomous driving vehicles, robot control, internet advertising, and ...

    Kazutaka Kanno, Atsushi Uchida in Scientific Reports (2022)

  7. Article

    Open Access

    Decision making for large-scale multi-armed bandit problems using bias control of chaotic temporal waveforms in semiconductor lasers

    Decision making using photonic technologies has been intensively researched for solving the multi-armed bandit problem, which is fundamental to reinforcement learning. However, these technologies are yet to be...

    Kensei Morijiri, Takatomo Mihana, Kazutaka Kanno, Makoto Naruse in Scientific Reports (2022)