Publication:

Sparsity provides a competitive advantage

Date

Date

Date
2021
Journal Article
Published version

Citations

Citation copied

Frenkel, C. (2021). Sparsity provides a competitive advantage. Nature Machine Intelligence, 3(9), 742–743. https://doi.org/10.1038/s42256-021-00387-y

Abstract

Abstract

Abstract

Neuromorphic chips that use spikes to encode information could provide fast and energy-efficient computing for ubiquitous embedded systems. A bio-plausible spike-timing solution for training spiking neural networks that makes the most of sparsity is implemented on the BrainScaleS-2 hardware platform.

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Views

149 since deposited on 2022-03-16
147last week
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

  • Frenkel, Charlotte
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
3

Number

Number

Number
9

Page range/Item number

Page range/Item number

Page range/Item number
742

Page end

Page end

Page end
743

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, Software

Language

Language

Language
English

Publication date

Publication date

Publication date
2021-09-01

Date available

Date available

Date available
2022-03-16

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2522-5839

OA Status

OA Status

OA Status
Closed

Metrics

Views

149 since deposited on 2022-03-16
147last week
Acq. date: 2025-11-12

Citations

Citation copied

Frenkel, C. (2021). Sparsity provides a competitive advantage. Nature Machine Intelligence, 3(9), 742–743. https://doi.org/10.1038/s42256-021-00387-y

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