Results 1 to 10 of about 263,497 (176)

Chip-Based High-Dimensional Optical Neural Network [PDF]

Nano-Micro Letters, 2022
Parallel multi-thread processing in advanced intelligent processors is the core to realize high-speed and high-capacity signal processing systems. Optical neural network (ONN) has the native advantages of high parallelization, large bandwidth, and low ...
Xinyu Wang, Peng Xie, Bohan Chen, Xingcai Zhang   +3 more
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Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network [PDF]

Sensors, 2022
A partitionable adaptive multilayer diffractive optical neural network is constructed to address setup issues in multilayer diffractive optical neural network systems and the difficulty of flexibly changing the number of layers and input data size.
Yongji Long, Zirong Wang, Bin He, Ting Nie, Xingxiang Zhang, Tianjiao Fu   +5 more
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Translation-invariant optical neural network for image classification [PDF]

Scientific Reports, 2022
The classification performance of all-optical Convolutional Neural Networks (CNNs) is greatly influenced by components’ misalignment and translation of input images in the practical applications.
Hoda Sadeghzadeh, Somayyeh Koohi
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A Review of Optical Neural Networks

IEEE Access, 2020
Optical neural network can process information in parallel by using the technology based on free-space and integrated platform. Over the last half century, the development of integrated circuits has been limited by Moore's law.
Xiubao Sui, Qiuhao Wu, Jia Liu, Qian Chen, Guohua Gu   +4 more
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Reconfigurable magneto-optical diffractive neural network with enhanced optical phase modulation [PDF]

Scientific Reports
We report image classification using a diffractive neural network based on the magneto-optical effect (MO-DNN). Diffractive neural networks (DNNs) offer unique advantages such as low power consumption, high-speed computing, and parallel processing.
Hotaka Sakaguchi, Kanata Watanabe, Juri Ikeda, Satoshi Sumi, Hiroyuki Awano, Fatima Zahra Chafi, Takayuki Ishibashi   +6 more
doaj   +2 more sources

Combinatorial optimization solving by coherent Ising machines based on spiking neural networks [PDF]

Quantum, 2023
Spiking neural network is a kind of neuromorphic computing that is believed to improve the level of intelligence and provide advantages for quantum computing.
Bo Lu, Yong-Pan Gao, Kai Wen, Chuan Wang
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Optical Diffractive Convolutional Neural Networks Implemented in an All-Optical Way

Sensors, 2023
Optical neural networks can effectively address hardware constraints and parallel computing efficiency issues inherent in electronic neural networks. However, the inability to implement convolutional neural networks at the all-optical level remains a ...
Yaze Yu, Yang Cao, Gong Wang, Yajun Pang, Liying Lang   +4 more
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End-to-End Optimization for a Compact Optical Neural Network Based on Nanostructured 2 × 2 Optical Processors

IEEE Photonics Journal, 2023
Recent research in silicon photonic chips has made huge progress in optical computing owing to their high speed, small footprint, and low energy consumption.
Caiyue Zhao, Jiguang Wang, Simei Mao, Xuanyi Liu, Wai Kin Victor Chan, H. Y. Fu   +5 more
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Nonlinear germanium-silicon photodiode for activation and monitoring in photonic neuromorphic networks

Nature Communications, 2022
Large-scale silicon-based integrated artificial neural networks lack of silicon-integrated optical neurons. Here, Yu et al, report a self-monitored all-optical neural network enabled by nonlinear germanium-silicon photodiodes, making the photonic neural ...
Yang Shi, Junyu Ren, Guanyu Chen, Wei Liu, Chuqi Jin, Xiangyu Guo, Yu Yu, Xinliang Zhang   +7 more
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Event-Based Optical Flow Estimation with Spatio-Temporal Backpropagation Trained Spiking Neural Network

Micromachines, 2023
The advantages of an event camera, such as low power consumption, large dynamic range, and low data redundancy, enable it to shine in extreme environments where traditional image sensors are not competent, especially in high-speed moving target capture ...
Yisa Zhang, Hengyi Lv, Yuchen Zhao, Yang Feng, Hailong Liu, Guoling Bi   +5 more
doaj   +1 more source