Vector Symbolic Architectures as a Computing Framework for Emerging Hardware-Reference-Cited by-同舟云学术

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware

Published:2022-10 Issue:10 Volume:110 Page:1538-1571
ISSN:0018-9219
Container-title:Proceedings of the IEEE
language:
Short-container-title:Proc. IEEE

Author:

Kleyko Denis¹^ORCID,Davies Mike²^ORCID,Frady Edward Paxon²,Kanerva Pentti¹^ORCID,Kent Spencer J.¹,Olshausen Bruno A.¹,Osipov Evgeny³^ORCID,Rabaey Jan M.⁴^ORCID,Rachkovskij Dmitri A.³,Rahimi Abbas⁵^ORCID,Sommer Friedrich T.¹^ORCID

Affiliation:

1. Redwood Center for Theoretical Neuroscience, University of California at Berkeley, Berkeley, CA, USA

2. Neuromorphic Computing Laboratory, Intel Labs, Santa Clara, CA, USA

3. Department of Computer Science Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden

4. Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA

5. IBM Research–Zurich, Rüschlikon, Switzerland

Funder

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

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

Air Force Office of Scientific Research

Intel’s THWAI Program

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

AFOSR

National Academy of Sciences of Ukraine

Ministry of Education and Science of Ukraine

Swedish Foundation for Strategic Research

NIH

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

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

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