Army to test artificial intelligence (AI) and machine learning to detect hidden targets in 2020 war game
WASHINGTON – The U.S. Army has developed artificial intelligence (AI) to spot hidden targets in reconnaissance photos and will field-test it in next year’s massive Defender 20 wargames in Europe. Breaking Defense reports. Continue reading original article
The Military & Aerospace Electronics take:
23 Oct. 2019 -- It’s just one AI application the Army is exploring with combat applications, said Brig. Gen. Matt Easley, head of the service’s Artificial Intelligence Task Force, said last week at the Association of the U.S. Army annual meeting in Washington.
Shooting down drones, aiming tank guns, coordinating resupply and maintenance, planning artillery barrages, stitching different sensor feeds together into a coherent picture, analyzing how terrain blocks units’ fields of fire and warning commanders where there are blind spots in their defenses are all military applications for which the Army will test AI.
The most high-profile example of AI on the battlefield to date, the controversial Project Maven, used machine learning algorithms to sift hours of full-motion video looking for suspected terrorists and insurgents. By contrast, Easley said, the new application looks for tanks and other targets of interest in a major-power war, he said, in keeping with the Pentagon’s increasing focus on Russia and China.
John Keller, chief editor
Military & Aerospace Electronics
