The research involves systems employing three innovations using polarized light to represent bipolar values, using liquid crystal devices as neuron outputs and connection matrix, and using a custom integrated detector and comparator. Emphasis is on new applications for neural networks, better algorithms for current use, and new methods of implementing neural networks.

Agency
National Science Foundation (NSF)
Institute
Division of Engineering Education and Centers (EEC)
Type
Standard Grant (Standard)
Application #
8919763
Program Officer
name not available
Project Start
Project End
Budget Start
1989-09-01
Budget End
1991-02-28
Support Year
Fiscal Year
1989
Total Cost
$30,000
Indirect Cost
Name
University of Colorado at Boulder
Department
Type
DUNS #
City
Boulder
State
CO
Country
United States
Zip Code
80309