Results 31 to 40 of about 4,283,891 (213)
Computing metasurfaces for all-optical image processing: a brief review
Nanophotonics, 2022 Computing metasurfaces are two-dimensional artificial nanostructures capable of performing mathematical operations on the input electromagnetic field, including its amplitude, phase, polarization, and frequency distributions.
He Shanshan, Wang Ruisi, Luo Hailu
doaj +1 more source
Analog readout for optical reservoir computers
CoRR, 2012 Reservoir computing is a new, powerful and flexible machine learning technique that is easily implemented in hardware. Recently, by using a time-multiplexed architecture, hardware reservoir computers have reached performance comparable to digital implementations.
Smerieri, Anteo +5 more
openaire +4 more sources
Reciprocal Metasurfaces for On-axis Reflective Optical Computing [PDF]
, 2021 Analog computing has emerged as a promising candidate for real-time and parallel continuous data processing. This paper presents a reciprocal way for realizing asymmetric optical transfer functions (OTFs) in the reflection side of the on-axis processing ...
Rajabalipanah, Hamid +13 more
core +1 more source
Parallel wave-based analog computing using metagratings
Nanophotonics, 2022 Wave-based signal processing has witnessed a significant expansion of interest in a variety of science and engineering disciplines, as it provides new opportunities for achieving high-speed and low-power operations.
Rajabalipanah Hamid +4 more
doaj +1 more source
Optical Computing: Status and Perspectives
Nanomaterials, 2022 For many years, optics has been employed in computing, although the major focus has been and remains to be on connecting parts of computers, for communications, or more fundamentally in systems that have some optical function or element (optical pattern ...
Nikolay L. Kazanskiy +2 more
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Switchable and Simultaneous Spatiotemporal Analog Computing with Computational Graphene-based Multilayers [PDF]
Carbon, 2021 Optical wave-based computing has enabled the realization of real-time information processing in both space and time domains. In the past few years, analog computing has experienced rapid development but mostly for a single function. Motivated by parallel
A. Momeni, Kasra Rouhi, R. Fleury
semanticscholar +1 more source
Dynamic Precision Analog Computing for Neural Networks [PDF]
IEEE Journal of Selected Topics in Quantum Electronics, 2021 Analog electronic and optical computing exhibit tremendous advantages over digital computing for accelerating deep learning when operations are executed at low precision.
Sahaj Garg +5 more
semanticscholar +1 more source
Nanophotonics, 2023 Analog photonic computing comprises a promising candidate for accelerating the linear operations of deep neural networks (DNNs), since it provides ultrahigh bandwidth, low footprint and low power consumption computing capabilities.
G. Giamougiannis +8 more
semanticscholar +1 more source
Plasmonic Generation of Spatiotemporal Optical Vortices
Photonics, 2023 We investigate the transformation of spatiotemporal optical signals using the Kretschmann configuration with an additional dielectric layer, which can be referred to as the “generalized Kretschmann setup”. We demonstrate that in the considered structure,
Artem I. Kashapov +3 more
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Analog input layer for optical reservoir computers
CoRR, 2014 Reservoir computing is an information processing technique, derived from the theory of neural networks, which is easy to implement in hardware. Several reservoir computer hardware implementations have been realized recently with performance comparable to digital implementations, which demonstrated the potential of reservoir computing for ultrahigh ...
François Duport +4 more
openaire +3 more sources