no code implementations • 6 Jan 2024 • Kei Kitagawa, Kohei Tsuji, Koyo Sagehashi, Tomoaki Niiyama, Satoshi Sunada
Hyperdimensional computing (HDC) is an emerging computing paradigm that exploits the distributed representation of input data in a hyperdimensional space, the dimensions of which are typically between 1, 000--10, 000.
no code implementations • 15 Feb 2023 • Tomoya Yamaguchi, Kohei Arai, Tomoaki Niiyama, Atsushi Uchida, Satoshi Sunada
This approach allows for compressive acquisitions of visual information with a single channel at gigahertz rates, outperforming conventional approaches, and enables its direct photonic processing using a photonic reservoir computer in a time domain.
no code implementations • 19 May 2022 • Takashi Urushibara, Nicolas Chauvet, Satoshi Kochi, Satoshi Sunada, Kazutaka Kanno, Atsushi Uchida, Ryoichi Horisaki, Makoto Naruse
Q-learning is a well-known approach in reinforcement learning that can deal with many states.
no code implementations • 12 May 2022 • Ryugo Iwami, Takatomo Mihana, Kazutaka Kanno, Satoshi Sunada, Makoto Naruse, Atsushi Uchida
In this paper, we propose a method for controlling the chaotic itinerancy in a multi-mode semiconductor laser to solve a machine learning task, known as the multi-armed bandit problem, which is fundamental to reinforcement learning.
no code implementations • 3 Feb 2022 • Sho Shimadera, Kei Kitagawa, Koyo Sagehashi, Tomoaki Niiyama, Satoshi Sunada
The proposed approach is based on an optical interference technique, which can encode the information of various stimuli as a spatial pattern.
no code implementations • 22 May 2021 • Satoshi Sunada, Atsushi Uchida
In contrast to existing photonic neural networks, the photonic neural field is a spatially continuous field that nonlinearly responds to optical inputs, and its high spatial degrees of freedom allow for large-scale and high-density neural processing on a millimeter-scale chip.
no code implementations • 16 Dec 2020 • Genki Furuhata, Tomoaki Niiyama, Satoshi Sunada
In this study, we perform pattern recognition based on the optimal control of continuous-time dynamical systems, which is suitable for physical hardware implementation.
no code implementations • 29 Jul 2019 • Tomoaki Niiyama, Genki Furuhata, Atsushi Uchida, Makoto Naruse, Satoshi Sunada
Decision making is a fundamental capability of living organisms, and has recently been gaining increasing importance in many engineering applications.