Results 21 to 30 of about 2,079,335 (239)
Photonic-Enabled Energy-Efficient Transparent Neuromorphic Computing Devices: A Review. [PDF]
Adv Sci (Weinh)Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Ghosh S +8 more
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Connecting reservoir computing with statistical forecasting and deep neural networks
Nature Communications, 2022 Standfirst Among the existing machine learning frameworks, reservoir computing demonstrates fast and low-cost training, and its suitability for implementation in various physical systems.
Lina Jaurigue, Kathy Lüdge
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Fully analogue photonic reservoir computer [PDF]
Scientific Reports, 2016 AbstractIntroduced a decade ago, reservoir computing is an efficient approach for signal processing. State of the art capabilities have already been demonstrated with both computer simulations and physical implementations. If photonic reservoir computing appears to be promising a solution for ultrafast nontrivial computing, all the implementations ...
Duport, Francois +4 more
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Parallel and deep reservoir computing using semiconductor lasers with optical feedback
Nanophotonics, 2022 Photonic reservoir computing has been intensively investigated to solve machine learning tasks effectively. A simple learning procedure of output weights is used for reservoir computing.
Hasegawa Hiroshi +2 more
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Bayesian Optimisation of Large-scale Photonic Reservoir Computers [PDF]
Cognitive Computation, 2021 Introduction. Reservoir computing is a growing paradigm for simplified training of recurrent neural networks, with a high potential for hardware implementations. Numerous experiments in optics and electronics yield comparable performance to digital state-of-the-art algorithms.
Piotr Antonik +3 more
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Asynchronous photonic time-delay reservoir computing
Optics Express, 2023 Time-delay reservoir computing uses a nonlinear node associated with a feedback loop to construct a large number of virtual neurons in the neural network. The clock cycle of the computing network is usually synchronous with the delay time of the feedback loop, which substantially constrains the flexibility of hardware implementations.
Jia-Yan Tang +6 more
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Photonic neuromorphic information processing and reservoir computing [PDF]
, 2020 Photonic neuromorphic computing is attracting tremendous research interest now, catalyzed in no small part by the rise of deep learning in many applications.
Sackesyn, Stijn +17 more
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Online spike-based recognition of digits with ultrafast microlaser neurons
Frontiers in Computational Neuroscience, 2023 Classification and recognition tasks performed on photonic hardware-based neural networks often require at least one offline computational step, such as in the increasingly popular reservoir computing paradigm.
Amir Masominia +3 more
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Scalable reservoir computing on coherent linear photonic processor
Communications Physics, 2021 Optical computing holds promise for high-speed, low-energy information processing due to its large bandwidth and ability to multiplex signals. The authors propose a recurrent neural network implementation using reservoir computing architecture in an ...
Mitsumasa Nakajima +2 more
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Reservoir computing with output feedback [PDF]
, 2011 Reinhart RF. Reservoir computing with output feedback. Bielefeld: Bielefeld University; 2011.A dynamical system approach to forward and inverse modeling is proposed. Forward and inverse models are trained in associative recurrent neural networks that are
Reinhart, René Felix, Reinhart, Felix
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