Hardware-Aware <i>In Situ</i> Learning Based on Stochastic Magnetic Tunnel Junctions-Reference-Cited by-同舟云学术

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Hardware-Aware In Situ Learning Based on Stochastic Magnetic Tunnel Junctions

Published:2022-01-13 Issue:1 Volume:17 Page:
ISSN:2331-7019
Container-title:Physical Review Applied
language:en
Short-container-title:Phys. Rev. Applied

Author:

Kaiser Jan^ORCID,Borders William A.^ORCID,Camsari Kerem Y.^ORCID,Fukami Shunsuke^ORCID,Ohno Hideo^ORCID,Datta Supriyo^ORCID

Funder

Semiconductor Research Corporation

DARPA

CREST

JSPS

RIEC

Science and Technology Center

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevApplied.17.014016/fulltext

Reference43 articles.

1. Simulating physics with computers

2. Integer factorization using stochastic magnetic tunnel junctions

3. Deep learning

4. A guide to deep learning in healthcare

5. Deep learning in neural networks: An overview

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1. A Spin–Orbit Torque Knob to Tailor Stochasticity for Physically Secured Applications;Advanced Electronic Materials;2024-08-11

2. Heisenberg machines with programmable spin circuits;Physical Review Applied;2024-07-08

3. Direct design of ground-state probabilistic logic using many-body interactions for probabilistic computing;Scientific Reports;2024-07-02

4. Training deep Boltzmann networks with sparse Ising machines;Nature Electronics;2024-06-17

5. Computing with magnetic tunnel junction based sigmoidal activation functions;Applied Physics Letters;2024-06-10

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