Results 41 to 50 of about 2,079,335 (239)
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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Photonic Hardware Accelerators for Reservoir Computing [PDF]
, 2021 Machine Learning (ML) approaches like Deep Neural Networks (DNNs) have emerged as a powerful tool for big data classification and prediction problems. While feed-forward neural networks are good for non-temporal tasks, a lot of real-world problems like ...
Hasnain, Syed Ali
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Wavelength dimension in waveguide-based photonic reservoir computing [PDF]
, 2022 Existing work on coherent photonic reservoir computing (PRC) mostly concentrates on single-wavelength solutions. In this paper, we discuss the opportunities and challenges related to exploiting the wavelength dimension in integrated photonic reservoir ...
Sackesyn, Stijn +5 more
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Experimental demonstration of bandwidth enhancement in photonic time delay reservoir computing
, 2023 Time delay reservoir computing (TDRC) using semiconductor lasers (SLs) has proven to be a promising photonic analog approach for information processing. One appealing property is that SLs subject to delayed optical feedback and external optical injection,
Ingo Fischer +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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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
openaire +3 more sources
Towards integrated parallel photonic reservoir computing based on frequency multiplexing
, 2018 Photonic reservoir computing uses recent advances in machine learning, and in particular the reservoir computing algorithm, to carry out complex computations optically.
Massar, Serge +6 more
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Advanced Functional Materials, EarlyView.Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall +4 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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