The Army recently scanned 7,200 km across four states on the eastern seaboard and used artificial intelligence to find and destroy specific simulated targets in an area the size of a 10-square-foot box. It was all part of the Army's XVIII Airborne Corp artificial intelligence-enabled live-fire target identification exercise on Thursday that used nearly 20 platforms and units from each of the other branches. The event was the fourth of its kind for the Scarlet Dragon program, which began in 2020. The Corps, assisted by elements of the Navy, Air Force and Marine Corps, worked with various platforms in all domains. But a key ingredient was the National Geospatial-Intelligence Center, which provided satellite imagery for software to sift through and find targets.

U.S. drone operators had been stalking the baby-faced British terrorist for days with infrared cameras and other sensors before the order came to kill him. As night fell on April 25, a U.S. warplane dropped a guided-bomb that obliterated the SUV occupied by 23-year-old Raphael Saihou Hostey near Mosul, Islamic State's stronghold in Iraq. Hostey, a recruiter for the militants, was targeted by a U.S. military campaign that has singled out and killed more than 120 Islamic State leaders, commanders, propagandists, recruiters and other so-called high-value individuals so far this year, officials said. The leadership attacks have picked up recently due to intelligence collected by special operations teams on night raids, from captured militants, and from intercepts of emails, cellphones and other communications. The focus on Islamic State's command and control structure, including its recruitment and funding systems, has helped weaken the Sunni extremist group as Iraqi, Syrian and Kurdish forces press the militants on the battlefield.