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Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the...

Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebb5ac157c1c4f68ab829098c26feabf

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

About this item

Full title

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

Publisher

Weinheim: John Wiley & Sons, Inc

Journal title

Advanced intelligent systems, 2020-11, Vol.2 (11), p.n/a

Language

English

Formats

Publication information

Publisher

Weinheim: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

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 operating in parallel. The success of DL is supported...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ebb5ac157c1c4f68ab829098c26feabf

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebb5ac157c1c4f68ab829098c26feabf

Other Identifiers

ISSN

2640-4567

E-ISSN

2640-4567

DOI

10.1002/aisy.202000085

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