Reservoir Computing[1] is a new approach to study and use Neural Networks, which try to mimic a brain-like intelligence. It uses memory and feedback in the reservoir to extract time correlated features and in this why it can solve complex classification and recognition tasks like speech processing[2]. This has already been realized using software but a hardware implementation needs yet to be realized. Photonics offers a good perspective to achieve this fast and economic
We propose photonic reservoir computing as a new approach to optical signal processing in the contex...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
Reservoir computing is a recent approach from the fields of machine learning and artificial neural n...
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...
Despite ever increasing computational power, recognition and classification problems remain challeng...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experi...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
We propose photonic reservoir computing as a new approach to optical signal processing and it can be...
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...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
We propose photonic reservoir computing as a new approach to optical signal processing in the contex...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
Reservoir computing is a recent approach from the fields of machine learning and artificial neural n...
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...
Despite ever increasing computational power, recognition and classification problems remain challeng...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experi...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
We propose photonic reservoir computing as a new approach to optical signal processing and it can be...
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...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
We propose photonic reservoir computing as a new approach to optical signal processing in the contex...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
Reservoir computing is a recent approach from the fields of machine learning and artificial neural n...