23:27 GMT +323 October 2019
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    A U.S. soldier preparing his Blue Force Tracker before departing Camp Victory, Iraq in 2005

    US Army, USC Work on AI-Assisted Supersoldier to Ensure Battlefield Superiority

    Military & Intelligence
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    Scientists from the University of Southern California and the US Army Research Laboratory (ARL) have come up with a machine-learning based AI system which boasts the ability to speed up troop training 13 fold.

    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.


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    machine learning, artificial intelligence, University of Southern California (USC), US Army Research Lab (ARL), US Army, United States
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