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An Optical Neural Device

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: DASG60-02-P-0192
Agency Tracking Number: 02-0371
Amount: $69,973.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
10190 Bannock Street, Suite 246
Northglenn, CO 80260
United States
DUNS: 787644921
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 A. Steven Younger
 Senior Engineer
 (720) 872-2145
 syounger@datafusion.com
Business Contact
 Woody Kober
Title: President
Phone: (720) 872-2145
Email: wkober@datafusion.com
Research Institution
N/A
Abstract

"Optical Neural Networks can perform function mapping problems, such as target classification, faster than any other technology available today. However, they are slow at learning new mappings. This is because learning requires changing the optical synapticweights, which us usually done off-line by a conventional computer. It also requires that the new synaptic medium - such as a photographic plate - be created and installed.We propose a solution to this problem called Optical Fixed-Weight Learning Neural Networks, which can learn at full optical speeds. These networks store mapping information in recurrent neural signal loops. They also have their learning algorithm embeddedor wired into their neural circuitry.Instead of having information about how to do a single functional mapping stored in their synaptic weights, Optical Fixed-Weight Learning Neural Networks have information about how to learn any mapping stored in their synapses. Thus, these networks canlearn new mappings without changing the synaptic medium. Very fast learning optical neural networks."

* Information listed above is at the time of submission. *

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