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Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously fa
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This book is the first comprehensive book about reservoir computing (RC). RC is a powerful and broadly applicable computational framework based on recurrent neu
Neuromorphic Photonics
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This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field
Photonic Neural Networks with Spatiotemporal Dynamics
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Application of FPGA to Real‐Time Machine Learning
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This book lies at the interface of machine learning – a subfield of computer science that develops algorithms for challenging tasks such as shape or image rec