All Optical Neural Network with Nonlinear Activation Functionsdoi:10.1364/OPTICA.6.001132Bohan LiGyu-Boong JoJunwei LiuPeng ChenShengwang DuYing ZuoYou-Chiuan ChenYue JiangYujun Zhao
Here, we propose and demonstrate a nonlinear optics approach to emulate Ising machines containing many spins (up to a million in the absence of optical imperfections) and with tailored all-to-all two and four-body interactions. Our approach employs a spatial light modulator to encode and control...
Exploring the potential of self-pulsing optical microresonators for spiking neural networks and sensing Article Open access 22 November 2024 Integrated photonic neuromorphic computing: opportunities and challenges Article 06 June 2024 Large-scale photonic computing with nonlinear disordered media Article...
Recent advances unveiled physical neural networks as promising machine learning platforms, offering faster and more energy-efficient information processing. Compared with extensively-studied optical neural networks, the development of mechanical neural n
We present nonlinear photonic circuit models for constructing programmable linear transformations and use these to realize a coherent perceptron, i.e., an all-optical linear classifier capable of learning the classification boundary iteratively from trai
Two nonlinear controllers are proposed for a light-weighted all-electric vehicle: Chebyshev neural network based backstepping controller and Chebyshev neural network based optimal adaptive controller. The electric vehicle (EV) is driven by DC motor. Both the controllers use Chebyshev neural network (CNN...
11.4: IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip Session 12 Overview: Electromagnetic Interface ICs for Information and Power Transfer 12.1: Monolithically Integrated Sub-63 fJ/b 8-Channel 256Gb/s Optical Transmitter with Autonomous Wavelength Locking in 45nm CMOS...
(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。
George, J.; Amin, R.; Mehrabian, A.; Khurgin, J.; El-Ghazawi, T.; Prucnal, P. R.; Sorger, V. J. Electrooptic nonlinear activation functions for vector matrix multiplications in optical neural networks. InProceedings of the Signal Processing in Photonic Communications 2018, Zurich, 2018,...
1) the artificial neural network models with nonlinear time series 人工神经网络非线性时序模型2) non-linear artificial neural network BP model BP非线性神经网络模型3) Time-serial ANN 时序人工神经网络4) artificial neural network model 人工神经网络模型 1. The evaluation on the low-flow resource ...