Results 31 to 40 of about 7,604,757 (293)
Optical frontend for a convolutional neural network
Applied Optics, 2019 The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces present a compelling alternative to electronic implementations of convolutional neural networks. The lack of a low-power optical nonlinearity, however, requires slow and energy-inefficient conversions between the electronic and ...
Shane Colburn +3 more
openaire +4 more sources
Effective denoising and adaptive equalization of indoor optical wireless channel with artificial light using the discrete wavelet transform and artificial neural network [PDF]
, 2009 Indoor diffuse optical wireless (OW) communication systems performance is limited due to a number of effects; interference from natural and artificial light sources and multipath induced intersymbol interference (ISI). Artificial light interference (ALI)
Ghassemlooy, Zabih +2 more
core +1 more source
Spectral splitting and concentration of broadband light using neural networks
APL Photonics, 2021 Compact photonic elements that control both the diffraction and interference of light offer superior performance at ultra-compact dimensions. Unlike conventional optical structures, these diffractive optical elements can provide simultaneous control of ...
Alim Yolalmaz, Emre Yüce
doaj +1 more source
Free-space optical spiking neural network
PLoS ONENeuromorphic engineering has emerged as a promising avenue for developing brain-inspired computational systems. However, conventional electronic AI-based processors often encounter challenges related to processing speed and thermal dissipation.
Reyhane Ahmadi +2 more
doaj +2 more sources
Photonics, 2022 The convolution neural network (CNN) is a classical neural network with advantages in image processing. The use of multiport optical interferometric linear structures in neural networks has recently attracted a great deal of attention. Here, we use three
Xiaofeng Xu +4 more
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A Novel Method to Realize Optical Correlation Recognition Based on Neural Network
IEEE Photonics Journal, 2018 A neural network model is constructed according to 4F optical correlator. New optical filter is obtained by training the neural network. For recognition of distortion targets, the correlation peaks from correlator applying new filter are averagely ...
Ping Xu +5 more
doaj +1 more source
All-Optical Assay to Study Biological Neural Networks
Frontiers in Neuroscience, 2018 We introduce a novel all-optical assay for functional studies of biological neural networks in vitro. We created a novel optogenetic construct named OptoCaMP which is a combination of a channelrhodopsin variant (CheRiff) and a red genetically encoded ...
Wardiya Afshar Saber +4 more
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Correlating matched-filter model for analysis and optimisation of neural networks [PDF]
, 1989 A new formalism is described for modelling neural networks by means of which a clear physical understanding of the network behaviour can be gained.
Midwinter, J.E. +7 more
core +1 more source
Optical Neural Network in Free-Space and Nanophotonics
IEEE Access, 2023 The explosive data growth has resulted in increased computing costs. As Moore’s Law is increasingly slowing down, the traditional computing approach based on the von Neumann architecture is gradually becoming unable to fulfill future computing ...
Zhenlin Sun +5 more
doaj +1 more source
UONN: Energy-Efficient Optical Neural Network
, 2021 This work proposes a novel loop-based optical neural network UONN capable of large-scale vector-matrix multiplications. Results show that UONN can achieve up to 6000× higher energy efficiency than existing MZI-based neural network.
Chen, Shixi +13 more
core +1 more source