Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine-Reference-Cited by-同舟云学术

Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine

Published:2018-01-10 Issue:9 Volume:30 Page:1705914
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Adv. Mater.

Author:

Hu Miao¹,Graves Catherine E.¹,Li Can²,Li Yunning²,Ge Ning³,Montgomery Eric¹,Davila Noraica¹,Jiang Hao²,Williams R. Stanley¹,Yang J. Joshua²,Xia Qiangfei²,Strachan John Paul¹^ORCID

Affiliation:

1. Hewlett Packard Labs Hewlett Packard Enterprise Palo Alto CA 94304 USA

2. Department of Electrical and Computer Engineering University of Massachusetts Amherst MA 01003 USA

3. HP Labs HP Inc. Palo Alto CA 94304 USA

Funder

Office of the Director of National Intelligence

Intelligence Advanced Research Projects Activity

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.201705914

Reference57 articles.

1. Solution of Partial Differential Equations with a Resistance Network Analogue

2. An active resistor network for Gaussian filtering of images

3. Computing motion using analog and binary resistive networks

4. Analog electronic neural network circuits

5. What's Next? [The end of Moore's law]

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