【量子计算组会一起开】All-optical neural network with nonlinear activation functions 开始时间 2021-07-13 19:00 量子计算的发展一日千里,要建造一台量子计算机,需要涉及量子物理、计算机科学、数学、统计学、和各种工程方面的知识。传统高校和研究所的科研团队模式、针对单点知识的探索,难以培训出对量子计算有广泛...
We describe the configuration, fabrication, and functions of an optical neuron device which is capable of performing both summation and threshold operations in optics. We constructed an alloptical neural network using these devices, a lenslet array for forming optical interconnections between neurons, ...
All-optical neural network with nonlinear activation functions Authors Ying Zuo, Bohan Li, Yujun Zhao, Yue Jiang, You-Chiuan Chen, Peng Chen, Gyu-Boong Jo, Junwei Liu, Shengwang Du Artificial neural networks (ANNs) have been widely used for industrial applications and have played a more impo...
optical neural network (AONN), in which linear operations are programmed by spatial light modulators and Fourier lenses, while nonlinear optical activation functions are realized in laser-cooled atoms with electromagnetically induced transparency. Because all errors from different optical neurons are ...
optical version of such a neurosynaptic system, capable of supervised and unsupervised learning. We exploit wavelength division multiplexing techniques to implement a scalable circuit architecture for photonic neural networks, successfully demonstrating pattern recognition directly in the optical domain. Such ...
We experimentally demonstrate an end-to-end all-optical recurrent neural network utilizing short laser pulses and ultrafast X(2) nonlinear optics to unlock unprecedented computational clock rates and massively parallel information processing for time-series classification and prediction tasks. © 20...
UCLA Researchers Create All-Optical Diffractive Deep Neural Network That is 3D PrintedUsing a 3D printer, a research team at the UCLA Samueli School of Engineering has created an artificial neural network that can analyze large volumes of data and identify objects at the speed of light. Called ...
在这里,我们介绍了一种物理机制,通过演示全光学衍射深度神经网络(D2NN, diffractive deep neural network)架构来执行机器学习,该架构可以使用基于深度学习的设计的集成工作的被动衍射层实现各种功能。我们创建了3D打印的D2NN,它实现了手写数字和时尚产品图像的分类,以及太赫兹光谱成像镜头的功能。 我们的全光学深度学习...
Possible applications of an all-optical perceptron are as the trainable output filter of an optical reservoir computer or as a building block in a multi-layer all-optical neural network. The programmable amplifier could be used as a building block to construct other learning models that rely on ...
(2018)All-optical machine learning using diffractive deep neural networks,程序员大本营,技术文章内容聚合第一站。