We study numerically a realistic model of a high-performance power efficient photonic neural network coupled to an analog electronic readout layer in order to demonstrate its potential for high-speed computing with no need for external digital post-processing.info:eu-repo/semantics/publishe
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
International audienceOver the past decade, articial Neural Networks (NNs) have revolutionized co...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
We study numerically a realistic model of an original autonomous implementation of a photonic neural...
We present an autonomous all-photonic experimental implementation of an artificial neural network ba...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
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...
Photonic solutions are today a mature industrial reality concerning high speed, high throughput data...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
Despite ever increasing computational power, recognition and classification problems remain challeng...
International audienceAn efficient photonic hardware integration of neural networks can benefit us f...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
International audienceOver the past decade, articial Neural Networks (NNs) have revolutionized co...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
We study numerically a realistic model of an original autonomous implementation of a photonic neural...
We present an autonomous all-photonic experimental implementation of an artificial neural network ba...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
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...
Photonic solutions are today a mature industrial reality concerning high speed, high throughput data...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
Despite ever increasing computational power, recognition and classification problems remain challeng...
International audienceAn efficient photonic hardware integration of neural networks can benefit us f...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
International audienceOver the past decade, articial Neural Networks (NNs) have revolutionized co...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
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