Work

Computing by Means of Physics-Based Optical Neural Networks

Year: 2010

Type: article

Abstract: We report recent research on computing with biology-based neural network models by means of physics-based opto-electronic hardware. New technology provides opportunities for very-high-speed computation and uncovers problems obstructing the wide-spread use of this new capability. The Computation Modeling community may be able to offer solutions to these cross-boundary research problems.

Source: Electronic Proceedings in Theoretical Computer Science

DOI: 10.4204/eptcs.26.15

Authors: A. Steven Younger, Emmett Redd

Institution: Missouri State University

Language: English

Topic: Neural Networks and Reservoir Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Science Foundation

Award: Fixed-Weight Learning Neural Networks on Fast Optical Hardware