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Proceedings Paper

3DANN-R: A tera-op convolution engine for image processing
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Paper Abstract

A commercial version of the 3D Artificial Neural Network has been developed under a collaborative effort between JPL and Irvine Sensors, sponsored by BMDO and the U.S. Air Force. It is capable of continuous trillion eight bit multiply and add operations per second while consuming under ten watts. Its architecture, input-output characteristics, and performance data will be presented.

Paper Details

Date Published: 29 June 2000
PDF: 10 pages
Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); doi: 10.1117/12.390474
Show Author Affiliations
John C. Carson, Irvine Sensors Corp. (United States)
David E. Ludwig, Irvine Sensors Corp. (United States)

Published in SPIE Proceedings Vol. 4041:
Visual Information Processing IX
Stephen K. Park; Zia-ur Rahman, Editor(s)

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