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An Electromagnetic Perspective of Artificial Intelligence Neuromorphic Chips

Electromagnetic Science 2023年第3期1卷 50-67页

作者： Er-Ping Li Hanzhi Ma manareldeen ahmed Tuomin Tao Zheming Gu Mufeng Chen Quankun Chen Da Li Wenchao Chen ZJU-UIUC Institute College of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310000China

The emergence of artificial intelligence has represented great potential in solving a wide range of complex ***,traditional general-purpose chips based on von Neumann architectures face the“memory wall”problem when applied in artificial intelligence *** on the efficiency of the human brain,many intelligent neuromorphic chips have been proposed to emulate its working mechanism and neuron-synapse *** the emergence of spiking-based neuromorphic chips,the computation and energy efficiency of such devices could be enhanced by integrating a variety of features inspired by the biological *** with the rapid development of neuromorphic chips,it is of great importance to quickly initiate the investigation of the electromagnetic interference and signal integrity issues related to neuromorphic chips for both CMOS-based and memristor-based artificial intelligence integrated ***,this paper provides a review of neuromorphic circuit design and algorithms in terms of electromagnetic issues and opportunities with a focus on signal integrity issues,modeling,and ***,the heterogeneous structures of neuromorphic circuits and other circuits,such as memory arrays and sensors using different integration technologies,are also reviewed,and locations where signal integrity might be compromised are ***,we provide future trends in electromagnetic interference and signal integrity and outline prospects for upcoming neuromorphic devices.

关键词： Signal integrity Electromagnetic interference Electromagnetic design Neuromorphic chips Heterogeneous integration

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