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 address more complex classification and recognition tasks as extracting time correlated features in problems like speech processing [2]. This has already been realized using software implementations but a hardware approach needs yet to be realized. Photonics offers a good platform to achieve this in a fast and economic way. The main idea is to build a photonic reservoir by exploiting and combining fast non linear light interactions to manipulate light
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
International audienceMany information processing challenges are difficult to solve with traditional...
Reservoir Computing[1] is a new approach to study and use Neural Networks, which try to mimic a brai...
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...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
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...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
We propose photonic reservoir computing as a new approach to optical signal processing and it can be...
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...
We study numerically a realistic model of a high-performance power efficient photonic neural network...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
International audienceMany information processing challenges are difficult to solve with traditional...
Reservoir Computing[1] is a new approach to study and use Neural Networks, which try to mimic a brai...
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...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
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...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
We propose photonic reservoir computing as a new approach to optical signal processing and it can be...
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...
We study numerically a realistic model of a high-performance power efficient photonic neural network...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
International audienceMany information processing challenges are difficult to solve with traditional...