PHOTONIC RESERVOIR COMPUTING: Optical Recurrent Neural Networks
Brunner, Daniel; Soriano, Miguel C.: Van der Sande, Guy (Editors)
, De Gruyter (2019)
, 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.
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IDEA
Improving data DEcoding in optical communication networks All-optically using neuro-inspired photonic systems
I.P.: Miguel C. Soriano, Ingo Fischer, Claudio Mirasso
Novel technologies related to optical communications, sensing, the Internet of Things (IoT) and artificial intelligence have been generating unique opportunities and potential to enhance our quality-of-life, and to provide new services for …