PHOTONIC RESERVOIR COMPUTING: Optical Recurrent Neural Networks

edited by Brunner, Daniel; Soriano, Miguel C.: Van der Sande, Guy
, De Gruyter (2019)

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.


This web uses cookies for data collection with a statistical purpose. If you continue browsing, it means acceptance of the installation of the same.


More info I agree