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Sparsity provides a competitive advantage


Frenkel, Charlotte (2021). Sparsity provides a competitive advantage. Nature Machine Intelligence, 3(9):742-743.

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.

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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7 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Human-Computer Interaction
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Computer Networks and Communications
Physical Sciences > Artificial Intelligence
Uncontrolled Keywords:Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, Software
Language:English
Date:1 September 2021
Deposited On:16 Mar 2022 09:57
Last Modified:27 Apr 2024 01:36
Publisher:Nature Publishing Group
ISSN:2522-5839
OA Status:Closed
Publisher DOI:https://doi.org/10.1038/s42256-021-00387-y
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