Preface to Special Issue on Optoelectronic Neuromorphic Devices  

作　　者：Zhenyi Ni Zhongqiang Wang Jia Huang Xiaodong Pi 

机构地区：[1]State key Laboratory of Silicon and Advanced Semiconductor Materials&School of Materials Science and Engineering,Zhejiang University,Hangzhou 310027,China [2]Shangyu Institute of Semiconductor Materials,Shaoxing 312300,China [3]Key Laboratory of UV-Emitting Materials and Technology of Ministry of Education,Northeast Normal University,Changchun 130024,China [4]School of Materials Science and Engineering&National Key Laboratory of Autonomous Intelligent Unmanned Systems,Tongji University,Shanghai 201804,China [5]Institute of Advanced Semiconductors&Zhejiang Provincial Key Laboratory of Power Semiconductor Materials and Devices,ZJ-UHangzhou Global Scientific and Technological Innovation Center,Zhejiang University,Hangzhou 311200,China

出　　处：《Journal of Semiconductors》2025年第2期2-4,共3页半导体学报(英文版)

摘　　要：The rapid advancement of artificial intelligence(AI),recognized with Nobel Prizes in both Physics and Chemistry in 2024,has been revolutionizing countless aspects of modern life,driving innovations across diverse fields and reshaping how people interact with technology.Despite its great advances,the computing of AI systems is now approaching the limit of traditional computing based on the von Neumann architecture,which is characterized by separated memory and process units-a challenge known as the"von Neumann bottleneck".

关 键 词：APPROACHING SEPARATED NEUMANN 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]