Add to ORKGWe present our latest results on silicon photonics neuromorphic information processing based on techniques like reservoir computing. We will discuss aspects like scalability, novel architectures for enhanced power efficiency, as well as all-optical readout. Additionally, we will touch upon new machine learning techniques to operate these integrated readouts
Photonic reservoir computing is a recent bio-inspired paradigm for signal processing. Despite first ...
We propose photonic reservoir computing as a new approach to optical signal processing and it can be...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
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 neuromorphic computing is attracting tremendous research interest now, catalyzed in no smal...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
Microelectronic computers have encountered challenges in meeting all of today’s demands for informat...
International audienceMany information processing challenges are difficult to solve with traditional...
In today's age, companies employ machine learning to extract information from large quantities of da...
Artificial intelligence enabled by neural networks has enabled applications in many fields (e.g. med...
Photonic reservoir computing is a recent bio-inspired paradigm for signal processing. Despite first ...
We propose photonic reservoir computing as a new approach to optical signal processing and it can be...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
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 neuromorphic computing is attracting tremendous research interest now, catalyzed in no smal...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
Microelectronic computers have encountered challenges in meeting all of today’s demands for informat...
International audienceMany information processing challenges are difficult to solve with traditional...
In today's age, companies employ machine learning to extract information from large quantities of da...
Artificial intelligence enabled by neural networks has enabled applications in many fields (e.g. med...
Photonic reservoir computing is a recent bio-inspired paradigm for signal processing. Despite first ...
We propose photonic reservoir computing as a new approach to optical signal processing and it can be...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...