Analog Resistive Switching Devices for Training Deep Neural Networks with the Novel Tiki-Taka Algorithm-Reference-Cited by-同舟云学术

Analog Resistive Switching Devices for Training Deep Neural Networks with the Novel Tiki-Taka Algorithm

Published:2024-01-11 Issue:3 Volume:24 Page:866-872
ISSN:1530-6984
Container-title:Nano Letters
language:en
Short-container-title:Nano Lett.

Author:

Stecconi Tommaso¹^ORCID,Bragaglia Valeria¹,Rasch Malte J.²,Carta Fabio²,Horst Folkert¹,Falcone Donato F.¹,ten Kate Sofieke C.¹,Gong Nanbo²,Ando Takashi²,Olziersky Antonis¹,Offrein Bert¹

Affiliation:

1. IBM Research Europe - Zürich, Rüschlikon, Zürich CH 8803, Switzerland

2. IBM Research - Yorktown Heights, Yorktown Heights, New York 10598, United States

Funder

Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung

H2020 Marie Sklodowska-Curie Actions

H2020 Industrial Leadership

HORIZON EUROPE Digital, Industry and Space

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.nanolett.3c03697

Reference34 articles.

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4. The future of electronics based on memristive systems

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