Results 31 to 40 of about 763 (210)
Nature Communications, 2023 Designing efficient photonic neuromorphic systems remains a challenge. Here, the authors develop an in-sensor Reservoir Computing system for multi-tasked pattern classification based on a light-responsive semiconducting polymer (p-NDI) with efficient ...
Xiaosong Wu +5 more
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Transfer learning for photonic delay-based reservoir computing to compensate parameter drift
Nanophotonics, 2022 Photonic reservoir computing has been demonstrated to be able to solve various complex problems. Although training a reservoir computing system is much simpler compared to other neural network approaches, it still requires considerable amounts of ...
Bauwens Ian +4 more
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Integrated photonic reservoir computing with an all-optical readout
Optics Express, 2023 Integrated photonic reservoir computing has been demonstrated to be able to tackle different problems because of its neural network nature. A key advantage of photonic reservoir computing over other neuromorphic paradigms is its straightforward readout system, which facilitates both rapid training and robust, fabrication variation-insensitive photonic ...
Chonghuai Ma +7 more
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Photonic neuromorphic technologies in optical communications
Nanophotonics, 2022 Machine learning (ML) and neuromorphic computing have been enforcing problem-solving in many applications. Such approaches found fertile ground in optical communications, a technological field that is very demanding in terms of computational speed and ...
Argyris Apostolos
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Reservoir computing: a photonic neural network for information processing [PDF]
SPIE Proceedings, 2010 At the boundaries between photonics and dynamic systems theory, we combine recent advances in neural networks with opto-electronic nonlinearities to demonstrate a new way to perform optical information processing. The concept of reservoir computing arose recently as a powerful solution to the issue of training recurrent neural networks.
Paquot, Yvan +4 more
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Photonic Neural Networks: A Survey
IEEE Access, 2019 Photonic solutions are today a mature industrial reality concerning high speed, high throughput data communication and switching infrastructures. It is still a matter of investigation to what extent photonics will play a role in next-generation computing
Lorenzo De Marinis +3 more
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Reservoir computing using a Si-integrated electro-optic oxide: A numerical study [PDF]
AIP AdvancesIn this numerical study, we investigate the performance of an electro-optic reservoir under the practical constraints of a Si-integrated photonic design enabled by barium titanate, an emergent electro-optic material.
Xiaoru Zhang, Alexander A. Demkov
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The challenges of modern computing and new opportunities for optics
PhotoniX, 2021 In recent years, the explosive development of artificial intelligence implementing by artificial neural networks (ANNs) creates inconceivable demands for computing hardware.
Chong Li +4 more
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Effect of Optical Illumination on Bubble Nanodomains
Advanced Functional Materials, EarlyView.Stable surface‐confined nanoscale bubble domains are created and manipulated in PMN‐PT single crystals. Under above‐bandgap illumination, these bubble nanodomains remain unchanged. However, upon illumination cessation, they rapidly expand to switch the entire crystal surface, due to the accumulation of a large reservoir of electrons at the crystal ...
Haoze Zhang +8 more
wiley +1 more source
IEEE Photonics JournalNeuromorphic photonics has emerged as a promising route for brain-inspired information processing, with optical neural networks offering a path beyond key bandwidth and energy bottlenecks of conventional electronic hardware.
L. Di Lauro +16 more
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