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Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning alg...

Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning alg...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2694096470

Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms

About this item

Full title

Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms

Publisher

Lausanne: Frontiers Research Foundation

Journal title

Frontiers in neuroscience, 2022-07, Vol.16, p.974627-974627

Language

English

Formats

Publication information

Publisher

Lausanne: Frontiers Research Foundation

More information

Scope and Contents

Contents

At the algorithmic level, neuro-inspired learning paradigms are based on the insight that the brain continuously processes incoming information and is able to adapt to changing conditions. [...]online learning, learning-to-learn, and unsupervised learning provide the main conceptual platforms for the design of low-power, accurate and reliable neuro...

Alternative Titles

Full title

Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2694096470

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2694096470

Other Identifiers

ISSN

1662-453X,1662-4548

E-ISSN

1662-453X

DOI

10.3389/fnins.2022.974627

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