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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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
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Series: | Research |
Online Access: | https://spj.science.org/doi/10.34133/research.0758 |
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