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Optically excited synapse for neural networks
Applied Optics, 1987What can optics with its promise of parallelism do for neural networks which require matrix multipliers? An all optical approach requires optical logic devices which are still in their infancy. An alternative is to retain electronic logic while optically addressing the synapse matrix.
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Optical quadratic perceptron neural network
Optical Society of America Annual Meeting, 1990Optical quadratic neural networks are currently being investigated because of their advantages with respect to linear neural networks.1 A quadratic neuron has previously been implemented by using a photorefractive barium titanate crystal.2 This approach has been improved and enhanced to realize a neural network that implements the perceptron learning ...
Alex V. Huynh +2 more
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Optical implementation of neural networks
SPIE Proceedings, 2002An adaptive optical neuro-computing (ONC) using inexpensive pocket size liquid crystal televisions (LCTVs) had been developed by the graduate students in the Electro-Optics Laboratory at The Pennsylvania State University. Although this neuro-computing has only 8×8=64 neurons, it can be easily extended to 16×20=320 neurons.
Francis T. S. Yu, Ruyan Guo
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Optical resonators and neural networks
AIP Conference Proceedings, 1986It may be possible to implement neural network models using continuous field optical architectures. These devices offer the inherent parallelism of propagating waves and an information density in principle dictated by the wavelength of light and the quality of the bulk optical elements.
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11 TOPS photonic convolutional accelerator for optical neural networks
Nature, 2021Xingyuan Xu, Mengxi, Bill Corcoran
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A silicon photonic–electronic neural network for fibre nonlinearity compensation
Nature Electronics, 2021Chaoran Huang +2 more
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Four Generations of High-Dimensional Neural Network Potentials
Chemical Reviews, 2021Jörg Behler
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An on-chip photonic deep neural network for image classification
Nature, 2022Farshid Ashtiani +2 more
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