We present an autonomous all-photonic experimental implementation of an artificial neural network based on two coherent optical cavities in order to demonstrate its potential to process high-bandwidth analog signals with low power consumption.info:eu-repo/semantics/publishe
Photonic solutions are today a mature industrial reality concerning high speed, high throughput data...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
We study numerically a realistic model of an original autonomous implementation of a photonic neural...
We study numerically a realistic model of a high-performance power efficient photonic neural network...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
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 audienceOver the past decade, articial Neural Networks (NNs) have revolutionized co...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
Despite ever increasing computational power, recognition and classification problems remain challeng...
The aim of our project will be to realise a high-speed all-optical implementation of a reservoir com...
Photonic solutions are today a mature industrial reality concerning high speed, high throughput data...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
We study numerically a realistic model of an original autonomous implementation of a photonic neural...
We study numerically a realistic model of a high-performance power efficient photonic neural network...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
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 audienceOver the past decade, articial Neural Networks (NNs) have revolutionized co...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
Despite ever increasing computational power, recognition and classification problems remain challeng...
The aim of our project will be to realise a high-speed all-optical implementation of a reservoir com...
Photonic solutions are today a mature industrial reality concerning high speed, high throughput data...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
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