Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system to carry out information processing. Here we will present an optoelectronic and an all-optical implementation of Reservoir Computers based on an architecture with a single nonlinear node and a delay loop. Moreover we will present an optical analogue readout which makes our reservoir computer a potential standalone solution after training. Our works show that, within the Reservoir Computing paradigm, all-optical computing with state-of-the-art performance is possible as a self-contained solution. © 2013 IEEE.info:eu-repo/semantics/publishe
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experi...
International audienceReservoir computing is an emerging field of research intended to develop novel...
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
Reservoir Computing is a novel computing paradigm that uses a nonlinear recurrent dynamical system t...
International audienceWe review a novel paradigm that has emerged in analogue neuromorphic optical c...
Reservoir computing is a new bio-inspired computation paradigm. It exploits a dynamical system drive...
International audienceMany information processing challenges are difficult to solve with traditional...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...
Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing ...
Reservoir computer is an efficient dynamical computing concept that was introduced at the onset of t...
Reservoir computing is a new, powerful and flexible machine learning tech-nique that is easily imple...
Reservoir computing is a recently introduced brain-inspired machine learning paradigm capable of exc...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experi...
International audienceReservoir computing is an emerging field of research intended to develop novel...
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
Reservoir Computing is a novel computing paradigm that uses a nonlinear recurrent dynamical system t...
International audienceWe review a novel paradigm that has emerged in analogue neuromorphic optical c...
Reservoir computing is a new bio-inspired computation paradigm. It exploits a dynamical system drive...
International audienceMany information processing challenges are difficult to solve with traditional...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...
Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing ...
Reservoir computer is an efficient dynamical computing concept that was introduced at the onset of t...
Reservoir computing is a new, powerful and flexible machine learning tech-nique that is easily imple...
Reservoir computing is a recently introduced brain-inspired machine learning paradigm capable of exc...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experi...
International audienceReservoir computing is an emerging field of research intended to develop novel...