Dr. Rajgopal Kannan, a researcher at the ARL and coauthor of a new paper on the subject of field-programmable gate array accelerators for use by the military, said that the technology, based on the machine learning technique known as collaborative filtering, has good prospects for becoming embedded in the next generation of US combat vehicles.
Housed in low-cost, lightweight but state-of-the-art hardware, the software helps soldiers to recognize, process and decipher information about threats more quickly, providing them with information about threats to their vehicles' safety, aerial images of the warzone, and other information allowing them to respond accordingly and thus gain a strategic advantage on the battlefield.
The next-gen combat vehicle is one of six 'Army Modernization Priorities' being worked on by ARL, and part of a broader focus on AI aimed at imbuing troops with warfighter superiority.
