Photonic Reservoir Computing

Optical Recurrent Neural Networks

By: Daniel Brunner (Editor)

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Hardcover | 8 July 2019

At a Glance

Hardcover
278 Pages

Age
22+

Dimensions(cm)
24.0 x 16.99 x 1.75

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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.

Industry Reviews

The book is very clearly written by experts in the field and contains numerous experiments and references. It can be used by anyone working in optical computing, which has developed very much in recent years due to optical implementations of neural networks.
Mircea Dragoman in: OSA. The Optic Society (02.04.2020), https: //www.osa-opn.org/home/book_reviews/2020/0420/photonic_reservoir_computing_optical_recurrent_neu/

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