Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing

Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing

The ever‐increasing processing power demands of digital computers cannot continue to be fulfilled indefinitely unless there is a paradigm shift in computing. Neuromorphic computing, which takes inspiration from the highly parallel, low‐power, high‐speed, and noise‐tolerant computing capabilities of...

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Bibliographic Details
Main Authors: Mostafa Rahimi Azghadi, Ying-Chen Chen, Jason K. Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J. Kenyon, Burt Fowler, Jack C. Lee, Yao-Feng Chang
Format: Article
Language:English
Published: Wiley 2020-05-01
Series:Advanced Intelligent Systems
Subjects:
complementary metal-oxide semiconductors
memristors
neuromorphic computing
resistive random access memory
unconventional computing
Online Access:https://doi.org/10.1002/aisy.201900189

Internet

https://doi.org/10.1002/aisy.201900189

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