Results 31 to 40 of about 263,497 (176)
Wavelet—Artificial Neural Network Receiver for Indoor Optical Wireless Communications [PDF]
, 2011 The multipath induced intersymbol interference (ISI) and fluorescent light interference (FLI) are the two most important system impairments that affect the performance of indoor optical wireless communication (OWC) systems.
Angelova, Maia +2 more
core +1 more source
International Journal of Optics, 2021 A photonic artificial intelligence chip is based on an optical neural network (ONN), low power consumption, low delay, and strong antiinterference ability.
Yichen Sun +7 more
doaj +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
Quantum optical neural networks [PDF]
npj Quantum Information, 2019 AbstractPhysically motivated quantum algorithms for specific near-term quantum hardware will likely be the next frontier in quantum information science. Here, we show how many of the features of neural networks for machine learning can naturally be mapped into the quantum optical domain by introducing the quantum optical neural network (QONN).
Gregory R. Steinbrecher +3 more
openaire +2 more sources
Using neural networks for high-speed blood cell classification in a holographic-microscopy flow-cytometry system [PDF]
, 2015 High-throughput cell sorting with flow cytometers is an important tool in modern clinical cell studies. Most cytometers use biomarkers that selectively bind to the cell, but induce significant changes in morphology and inner cell processes leading ...
Bienstman, Peter +4 more
core +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
doaj +1 more source
Optical neural networks: The 3D connection [PDF]
Photoniques, 2020 We motivate a canonical strategy for integrating photonic neural networks (NN) by leveraging 3D printing. Our belief is that a NN’s parallel and dense connectivity is not scalable without 3D integration. 3D additive fabrication complemented with photonic signal transduction can dramatically augment the current capabilities of 2D CMOS and integrated ...
Dinc, Niyazi Ulas +2 more
openaire +3 more sources
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
Parity-time Symmetric Optical Neural Networks
Conference on Lasers and Electro-Optics, 2022 An optical neural network architecture is proposed that utilizes parity-time symmetric couplers as its building blocks. Gain–loss contrasts across the array are adjusted as a means to train the network.
Deng, Haoqin, Khajavikhan, Mercedeh
openaire +2 more sources
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
doaj +1 more source