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Photonic Reservoir Computing is written by Daniel Brunner and published by Walter de Gruyter GmbH & Co KG. It's available with International Standard Book Number or ISBN identification 3110583496 (ISBN 10) and 9783110583496 (ISBN 13).
Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.