US Army Explores an AI System Capable of Targeting 1,000 Objectives per Hour
The U.S. Army, through a series of experiments conducted since 2020, has developed an advanced targeting system that could transform how forces operate on the battlefield. This system, known as the Maven Smart System, uses a combination of sensors, artificial intelligence (AI), and machine learning to quickly analyze a combat environment, identify targets, and strike them effectively. Already in use within U.S. Central Command (CENTCOM) and applied to solve logistical issues globally, the system could allow small teams of soldiers to strike up to 1,000 targets per hour. Follow Army Recognition on Google News at this link
The Maven system is the result of a series of experiments conducted by the XVIII Airborne Corps, which includes prestigious units such as the 82nd Airborne Division, the 10th Mountain Division, the 101st Airborne Division, and the 3rd Infantry Division. The initial experiment, dubbed Scarlet Dragon, began in 2020 and has since evolved through more than ten iterations, with more planned in the coming months and years.
During the first Scarlet Dragon experiment, U.S. soldiers, in collaboration with Marines from the II Marine Expeditionary Force, used commercial satellite imagery and an algorithm to identify a dummy target. At that time, the data transmission process to strike the target took more than 12 hours. Today, thanks to continuous improvements, this time has been reduced to under a minute.
Brigadier General John Cogbill, deputy commander of the XVIII Airborne Corps, stated that this system is already operational and can be used immediately on the battlefield. Initially launched under the leadership of General Michael Kurilla, former commander of the XVIII Airborne Corps and current head of CENTCOM, the Maven system is now a central piece of CENTCOM's data-driven command strategy.