Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing

Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing

Machine learning, particularly in the form of deep learning (DL), has driven most of the recent fundamental developments in artificial intelligence (AI). DL is based on computational models that are, to a certain extent, bio‐inspired, as they rely on networks of connected simple computing units oper...

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Bibliographic Details
Main Authors: Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon
Format: Article
Language:English
Published: Wiley 2020-11-01
Series:Advanced Intelligent Systems
Subjects:
deep learning
in-memory computing
memristors
neuromorphic systems
power-efficient artificial intelligence
spiking neural networks
Online Access:https://doi.org/10.1002/aisy.202000085

Internet

https://doi.org/10.1002/aisy.202000085

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