Realizing familiar AI with optical reservoir computing.
Information and Communication Technology (Saitama University Research Seed Collection 2025-27 p.83)
Keywords: Reservoir Computing, AI, Artificial Intelligence, Machine Learning, Laser, Chaos, Light, Edge Computing
Artificial intelligence (AI) and machine learning are utilized in applications such as image recognition and internet advertising, becoming essential technologies in our lives. On the other hand, machine learning requires prior preparation in the form of training. The significant amount of computation time and power consumption needed for training has become a major issue in recent years. A new technology called reservoir computing aims to solve this problem. The major advantage of reservoir computing is that it allows for easy training, enabling implementation with low computational requirements and low power consumption. This makes machine learning on devices such as smartphones and home appliances (edge computing) easily achievable, and it is expected to become increasingly widespread in the future. Our research laboratory is engaged in the research and development of reservoir computing using light. When an input signal is applied to a laser, it produces a complex optical output signal, and we utilize this complex response waveform to realize reservoir computing.
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Atsushi Uchida, Professor Graduate School of Science and Engineering, Department of Mathematical and Electronic Information, Information Area 【Recent Research Themes】 ● Decision-making using reinforcement learning with laser light. ● Ultra-fast physical random number generation using laser light. ● Elucidation of chaotic irregular phenomena of laser light. ● Information security applications using laser light.
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【Appeal Points to the Industry】 ● Successfully conducted the first demonstration experiment of reservoir computing using light in Japan. ● Successfully developed the world's first compact optical integrated circuit for reservoir computing. ● Currently researching to aim for a future where reservoir computing becomes a familiar presence. 【Examples of Practical Use, Applications, and Utilization】 ● Implementation of machine learning that is easy to learn. ● High-speed machine learning using laser light. ● Realization of energy-efficient machine learning.
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The Saitama University Open Innovation Center is a center that functions as a liaison office for industry-academia-government collaboration. It consists of three departments: the Industry-Academia-Government Collaboration Department, the Intellectual Property Department, and the Startup Support Department, each staffed with coordinators well-versed in various fields. The center's activities include solving technical challenges in companies, supporting the implementation of joint research, and conducting technology transfer aimed at introducing and utilizing Saitama University's intellectual property.
