Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing

Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing

Artificial neural networks have long been studied to emulate the cognitive capabilities of the human brain for artificial intelligence (AI) computing. However, as computational demands intensify, conventional hardware based on transistor and complementary metal oxide semiconductor (CMOS) technology...

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Bibliographic Details
Main Authors: Boyan Jin, Zhenlong Wang, Tianyu Wang, Jialin Meng
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2025-01-01
Series:Research
Online Access:https://spj.science.org/doi/10.34133/research.0758
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