OAM-based diffractive all-optical classification

作     者：Md Sadman Sakib Rahman Aydogan Ozcan Sadman Sakib Rahman;Aydogan Ozcan

作者机构：University of CaliforniaElectrical and Computer Engineering DepartmentLos AngelesCaliforniaUnited States University of CaliforniaBioengineering DepartmentLos AngelesCaliforniaUnited States University of CaliforniaCalifornia NanoSystems Institute(CNSI)Los AngelesCaliforniaUnited States 

出 版 物：《Advanced Photonics》 (先进光子学（英文）)

年 卷 期：2024年第6卷第1期

页      面：6-7页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

主　　题：consuming digit neural 

摘      要：Object classification is an important aspect of machine *** practices in object classification entail the digitization of object information followed by the application of digital algorithms such as deep neural *** execution of digital neural networks is power-consuming,and the throughput is *** existing von Neumann digital computing paradigm is also less suited for the implementation of highly parallel neural network architectures.^(1)