Electrochemical random-access memory: recent advances in materials, devices, and systems towards neuromorphic computing

Electrochemical random-access memory: recent advances in materials, devices, and systems towards neuromorphic computing

Abstract Artificial neural networks (ANNs), inspired by the human brain's network of neurons and synapses, enable computing machines and systems to execute cognitive tasks, thus embodying artificial intelligence (AI). Since the performance of ANNs generally improves with the expansion of the ne...

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Bibliographic Details
Main Authors: Hyunjeong Kwak, Nayeon Kim, Seonuk Jeon, Seyoung Kim, Jiyong Woo
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Nano Convergence
Subjects:
ECRAM
Artificial intelligence
Low-power electronics
Neuromorphic computing
In-memory computing
Neural chips
Online Access:https://doi.org/10.1186/s40580-024-00415-8

Internet

https://doi.org/10.1186/s40580-024-00415-8

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