Topics
neural networkMusic genre
We study numerically a realistic model of an original autonomous implementation of a photonic neural network in order to demonstrate its high potential to process high-bandwidth signals with a strikingly low power consumption.info:eu-repo/semantics/publishe
We present the first experimental implementation of a passive linear reservoir computer working in c...
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...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
We present an autonomous all-photonic experimental implementation of an artificial neural network ba...
We study numerically a realistic model of a high-performance power efficient photonic neural network...
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...
Despite ever increasing computational power, recognition and classification problems remain challeng...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
International audienceWe review a novel paradigm that has emerged in analogue neuromorphic optical c...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
We present the first experimental implementation of a passive linear reservoir computer working in c...
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...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
We present an autonomous all-photonic experimental implementation of an artificial neural network ba...
We study numerically a realistic model of a high-performance power efficient photonic neural network...
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...
Despite ever increasing computational power, recognition and classification problems remain challeng...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
International audienceWe review a novel paradigm that has emerged in analogue neuromorphic optical c...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
We present the first experimental implementation of a passive linear reservoir computer working in c...
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...
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