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Vector Symbolic Architectures as a Computing Framework for Emerging Hardware

Proceedings of the IEEE(2022)10.1109/jproc.2022.3209104Source: DataRank Database

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware is a research paper published in Proceedings of the IEEE (2022). On theSindex it has a DataRank of 0. It has been cited 77 times.

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Open Access77 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 5.14)OA: greenTopics (27)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Mike Davies ORCID,Edward Paxon Frady,Pentti Kanerva ORCID,Spencer J. Kent,Bruno A. Olshausen

Live enrichment

PubMed:37868615 PMC:PMC10588678 OpenAlex:https://openalex.org/W4308481194

European Union’s Horizon 2020 Research and Innovation Programme under Marie Skłodowska-Curie Grant

Grant: 839179

A Low-Power Artificial Intelligence Framework based on Vector Symbolic Architectures

Air Force Office of Scientific Research

Grant: FA9550-19-1-0241

National Academy of Sciences of Ukraine

Grant: 0120U000122

National Academy of Sciences of Ukraine

Grant: 0121U000016

National Academy of Sciences of Ukraine

Grant: 0122U002151

National Academy of Sciences of Ukraine

Grant: 0117U002286

Ministry of Education and Science of Ukraine

Grant: 0121U000228

Ministry of Education and Science of Ukraine

Grant: 0122U000818

Swedish Foundation for Strategic Research

Grant: UKR22-0024

NIH

Grant: R01-EB026955

NSF

Grant: IIS-1718991

NIBIB NIH HHS

Grant: R01 EB026955

National Institutes of Health

Grant: 5R01EB026955-03

Building analysis tools and a theory framework for inferring principles of neural computation from multi-scale organization in brain recordings

DARPA’s VIP (Super-HD Project) and AIE (HyDDENN Project) Programs

Defense Advanced Research Projects Agency’s (DARPA) VIP (Super-HD Project) and AIE (HyDDENN Project) Programs

Intel’s THWAI Program

FWCI

5.14

Citation Percentile

1.0%

Citation Trend

2020

2022

2023

2024

2025

2026

greenLicense: IEEE Copyright

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10588678/pdf/nihms-1843222.pdf

publisherhttps://ieeexplore.ieee.org/ielam/5/9921389/9921397-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/5/9921389/09921397.pdf?arnumber=9921397

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10588678

Fields of Study

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesEvolutionary Algorithms and Applications0301 basic medicine02 engineering and technology03 medical and health sciences0202 electrical engineering, electronic engineering, information engineering

Keywords

Computer scienceParallel computingComputer architectureTheoretical computer scienceProgramming languageComputational scienceDistributed RepresentationsData StructuresVector Symbolic ArchitecturesTuring CompletenessHyperdimensional ComputingComputing FrameworkComputing In SuperpositionEmerging HardwareFOS: Computer and information sciencesComputer Science - Artificial Intelligence004Artificial Intelligence (cs.AI)Hardware Architecture (cs.AR)Computer Science - Hardware Architecture

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure