We present our latest results on silicon photonics neuromorphic information processing based a.o. 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. Finally, we will show how these systems can be used for high-speed low-power information processing for applications like recognition of biological cells
We propose photonic reservoir computing as a new approach to optical signal processing in the contex...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
Neuromorphic photonic applies concepts extracted from neuroscience to develop photonic devices behav...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
Photonic neuromorphic computing is attracting tremendous research interest now, catalyzed in no smal...
Despite ever increasing computational power, recognition and classification problems remain challeng...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
Microelectronic computers have encountered challenges in meeting all of today’s demands for informat...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Artificial intelligence enabled by neural networks has enabled applications in many fields (e.g. med...
Photonic reservoir computing has evolved into a viable contender for the next generation of analog c...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
We propose photonic reservoir computing as a new approach to optical signal processing in the contex...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
Neuromorphic photonic applies concepts extracted from neuroscience to develop photonic devices behav...
We present our latest results on silicon photonics neuromorphic information processing based a.o. on...
We present our latest results on silicon photonics neuromorphic information processing based on tech...
Photonic neuromorphic computing is attracting tremendous research interest now, catalyzed in no smal...
Despite ever increasing computational power, recognition and classification problems remain challeng...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
Microelectronic computers have encountered challenges in meeting all of today’s demands for informat...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing whic...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
Artificial intelligence enabled by neural networks has enabled applications in many fields (e.g. med...
Photonic reservoir computing has evolved into a viable contender for the next generation of analog c...
42th European Conference on Optical Communication Proceedings, September 18 – 22, 2016, Düsseldorf, ...
We propose photonic reservoir computing as a new approach to optical signal processing in the contex...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
Neuromorphic photonic applies concepts extracted from neuroscience to develop photonic devices behav...