US Army Tests AI for Faster Targeting, Smarter Command Networks

The US Army’s Next Generation Command and Control (NGC2) prototype is putting a new capability powered by artificial intelligence (AI) to the test.

During the 4th Infantry Division’s (4ID) Ivy Sting 2 exercise, the service trained an AI-aided target recognition system to spot hulks, or old vehicles used as targets, Breaking Defense reported. 

The goal: teach the AI to identify a tank and automatically trigger a fire mission, shortening the “sensor-to-shooter” loop. That speed could give US forces a decisive edge in multi-domain operations, where milliseconds matter.

Read the full story on our new publication, Military AI: US Army Tests AI for Faster Targeting, Smarter Command Networks