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This document reviews hybrid photonic integrated circuits (PICs) for neuromorphic computing, highlighting their potential for high-speed, energy-efficient data processing in artificial intelligence applications. It discusses the integration of various materials with PICs to enhance functionality and performance, including phase change materials and III-V semiconductors. The paper emphasizes the advantages of photonic neuromorphic processors over traditional computing architectures, particularly in terms of

Author
omid.tahmasebi.me
Language
EN