| Budget Amount *help |
¥44,980,000 (Direct Cost: ¥34,600,000、Indirect Cost: ¥10,380,000)
Fiscal Year 2023: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2022: ¥7,930,000 (Direct Cost: ¥6,100,000、Indirect Cost: ¥1,830,000)
Fiscal Year 2021: ¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
Fiscal Year 2020: ¥9,620,000 (Direct Cost: ¥7,400,000、Indirect Cost: ¥2,220,000)
Fiscal Year 2019: ¥9,750,000 (Direct Cost: ¥7,500,000、Indirect Cost: ¥2,250,000)
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| Outline of Final Research Achievements |
We developed the improvement of photonic reservoir computing as a new machine-learning paradigm for easy training. We achieved better performance of time-series prediction and classification tasks using parallel and deep reservoir configurations, compared with conventional techniques. We fabricated a photonic integrated circuit based on silicon photonics technology and realized fast, low-latency, and energy-efficient photonic reservoir computing. Finally, we published a Japanese textbook of photonic reservoir computing as a compilation of our comprehensive work.
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