Results 1 to 10 of about 3,471 (66)
Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network
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 +5 more
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Chip-Based High-Dimensional Optical Neural Network
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 +3 more
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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
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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 +4 more
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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 +5 more
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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 +4 more
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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 +7 more
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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 +5 more
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Opto-Electronic Hybrid Network Based on Scattering Layers
Sensors, 2023 Owing to the disparity between the computing power and hardware development in electronic neural networks, optical diffraction networks have emerged as crucial technologies for various applications, including target recognition, because of their high ...
Jiakang Zhu +4 more
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