Recent advancements in metal oxide‐based hybrid nanocomposite resistive random‐access memories for artificial intelligence
Abstract Artificial intelligence (AI) advancements are driving the need for highly parallel and energy‐efficient computing analogous to the human brain and visual system. Inspired by the human brain, resistive random‐access memories (ReRAMs) have recently emerged as an essential component of the int...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
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| Series: | InfoMat |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/inf2.12644 |
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