[光计算与人工智能]论文阅读2:All-optical machine learning using diffractive deep neural networks 努力加油的维克 光计算,计算摄影学 来自专栏 · 光计算与人工智能 42 人赞同了该文章 从这篇开始是衍射神经网络的相关笔记。 论文原地址如下,来自Science正刊。 https://www.science.org/
(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。
Using 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 a diffractive deep neural network (D2NN), the technology uses the light scattering ...
Here we introduce an all-optical deep learning framework, where the neural network is physically formed by multiple layers of diffractive surfaces that work in collaboration to optically perform an arbitrary function that the network can statistically learn. We term this framework as Diffractive Dee...
Complex field imaging, which captures both the amplitude and phase information of input optical fields or objects, can offer rich structural insights into samples, such as their absorption and refractive index distributions. However, conventional image s
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
A diffractive deep neural network is an optical machine learning structure that is capable of combining deep learning with optical diffraction and light-matter interaction to design diffractive surfaces that collectively carry out optical computation at the speed of light. Prototype of a broadband diffrac...
Deep empirical neural network for optical phase retrieval over a scattering medium Huaisheng Tu Haotian Liu Yuwen Qin Nature Communications(2025) All-optical image transportation through a multimode fibre using a miniaturized diffractive neural network on the distal facet ...
Lin, X.; Rivenson, Y.; Yardimci, N. T.; Veli, M.; Luo, Y.; Jarrahi, M.; Ozcan, A. All-optical machine learning using diffractive deep neural networks.Science2018,361, 1004–1008. ArticleCASPubMedGoogle Scholar Li, J. X.; Mengu, D.; Yardimci, N. T.; Luo, Y.; Li, X. ...
comparator outputs the pulse with the maximum voltage as the predicted result of ACCEL.c, Schematic of ACCEL with an OAC integrated directly in front of an EAC circuit for high-speed, low-energy processing of vision tasks. MZI, Mach–Zehnder interferometer; D2NN, diffractive deep neural ...