Bob
Have a question related to this hub?
Alice
Got something to say related to this hub?
Share it here.
 | This article needs to be updated. (December 2012) |
The Cognitive Technology Threat Warning System, otherwise known as (CT2WS), is a brain–computer interface designed to analyze sensory data and then alert foot-soldiers to any possible threats, passive or direct.[1] CT2WS is part of U.S. Department of Defense's effort to produce an efficient and working Network-centric infantryman.
Proposed in early 2007, DARPA came to believe that a visual warning system could be produced and developed via an integration of technology and artificial intelligence.[1] By combining discoveries in flat-field, wide-angle optics, large pixel-count digital imagers, ultra-low power analog-digital hybrid signal processing electronics with cognitive visual processing algorithms, and neural network-based target detection signatures, DARPA felt a breakthrough was possible, but not likely to be achieved by independent researchers.[1] CT2WS further requires that human brain activity must be integrated with the technology.
Selection of research partners is currently open to potential researchers, including: non-traditional defense contractors, nonprofit organizations, educational institutions, small businesses, etc.
It was anticipated that funding for CT2WS will continue until 2011.[2]
Budget for the project will be determined based upon the scope of the independent proposals.[2] There have been many research and technology contributors to the project including HRL and Advanced Brain Monitoring which contributed the B-Alert wireless-EEG headsets.
Criteria for project includes: soldier portable, sensory-data collect for a 120 degree field of view (FOV), artificial analysis of data, threat analysis and prioritizing "brain-in-the-loop" integration, and real-time processing of neural and artificial cognitive data.[2]
The DARPA Grand Challenge is another project designed to attract independent researchers to study AI for application to network-centric warfare. The Grand Challenge has tested autonomous driving ability in both urban and rough terrain settings.
