International audienceReservoir computing is an emerging field of research intended to develop novel computational machines based on operating principles issued from the neural network community and the brain research sciences. Practical implementations of the corresponding principles is a strongly open question, which is precisely addressed from the photonic viewpoint in the frame of a recently funded EC project PHOCUS. The main idea is here to benefit from the intrinsic dynamic complexity of delay systems, which experimental realization are well known in photonics, in order to perform the central role of a reservoir computer, the reservoir itself. This paper reports on the photonic implementation, the numerical simulations of the correspo...
Nonlinear photonic delay systems present interesting implementation platforms for machine learning m...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
Reservoir computing has recently been introduced as a new paradigm in the field of machine learning....
International audienceWe review a novel paradigm that has emerged in analogue neuromorphic optical c...
Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experi...
International audiencePhotonic delay systems have revolutionized the hardware implementation of Recu...
International audienceWe present a novel photonic time-delay reservoir computing architecture based ...
International audienceWe report on the experimental demonstration of a hybrid optoelectronic neuromo...
Reservoir computer is an efficient dynamical computing concept that was introduced at the onset of t...
Currently, multiple photonic reservoir computing systems show great promise for providing a practica...
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
International audienceMany information processing challenges are difficult to solve with traditional...
Nonlinear photonic delay systems present interesting implementation platforms for machine learning m...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
Reservoir computing has recently been introduced as a new paradigm in the field of machine learning....
International audienceWe review a novel paradigm that has emerged in analogue neuromorphic optical c...
Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experi...
International audiencePhotonic delay systems have revolutionized the hardware implementation of Recu...
International audienceWe present a novel photonic time-delay reservoir computing architecture based ...
International audienceWe report on the experimental demonstration of a hybrid optoelectronic neuromo...
Reservoir computer is an efficient dynamical computing concept that was introduced at the onset of t...
Currently, multiple photonic reservoir computing systems show great promise for providing a practica...
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
International audienceMany information processing challenges are difficult to solve with traditional...
Nonlinear photonic delay systems present interesting implementation platforms for machine learning m...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...