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Photonic Reservoir Computing
Optical Recurrent Neural Networks
Daniel Brunner , Guy Van der Sande , Miguel C. Soriano
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.
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