Scalable Photonic Machine for Neuromorphic Computation-Computational Cognition
Abstract
The proposed research aims at designing, characterizing and optimizing a new neurmorphic photonic computer, known as a liquid state machine (LSM). Our design will consist of finding the most complex spatio-temporal transient dynamics in a photonic network architecture so that we can achieve beyond state-of-the art performance in benchmark for pattern recognition and time-series forecasting.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510279
Entities
People
- Damien Rontani
Organizations
- Air Force Office of Scientific Research
- United States Air Force