Results 251 to 260 of about 220,848 (275)

All-optical recurrent neural network

SPIE Proceedings, 1998
We report on the optical setup, device characterization and performance in a pattern recognition task of a neural network with 256 neurons and optical feedback.
Christoph Berger, Neil Collings
openaire   +1 more source

Optically excited synapse for neural networks

Applied Optics, 1987
What 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.
openaire   +2 more sources

Optical quadratic perceptron neural network

Optical Society of America Annual Meeting, 1990
Optical 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, John F. Walkup, Thomas F. Krile   +2 more
openaire   +1 more source

Optical implementation of neural networks

SPIE Proceedings, 2002
An 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
openaire   +1 more source

Optical resonators and neural networks

AIP Conference Proceedings, 1986
It 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.
openaire   +1 more source

11 TOPS photonic convolutional accelerator for optical neural networks

Nature, 2021
Xingyuan Xu, Mengxi, Bill Corcoran
exaly  

Hybrid training of optical neural networks

Optica, 2022
James Spall, Xianxin Guo, Alexander I Lvovsky   +2 more
exaly  

Diffractive Optical Neural Networks

2023
Minhan Lou, Weilu Gao
openaire   +1 more source

Deep neural networks for the evaluation and design of photonic devices

Nature Reviews Materials, 2020
Jiaqi Jiang, Mingkun Chen, Jonathan A Fan   +2 more
exaly  

Efficient On-Chip Training of Optical Neural Networks Using Genetic Algorithm

ACS Photonics, 2021
Hui Zhang, Jayne Thompson, Mile Gu
exaly