Fox News Flash top entertainment and celebrity headlines are here. Check out what's clicking today in entertainment. The U.S. military recently conducted a live-fire full combat replication with unmanned-to-unmanned teaming guiding attacks, small reconnaissance drones, satellites sending target coordinates to ground artillery and high-speed, AI-enabled "networked" warfare. This exercise was a part of the Army's Project Convergence 2020, a weapons and platform combat experiment which, service leaders say, represents a massive transformation helping the service pivot its weapons use, tactics and maneuver strategies into a new era. Taking place at Yuma Proving Grounds, Arizona, Project Convergence involved live-fire war experiments aligned in three distinct phases, intended to help the Army cultivate its emerging modern Combined Arms Maneuver strategy.
After weeks of work in the oppressive Arizona desert heat, the U.S. Army carried out a series of live fire engagements Sept. 23 at Yuma Proving Ground to show how artificial intelligence systems can work together to automatically detect threats, deliver targeting data and recommend weapons responses at blazing speeds. Set in the year 2035, the engagements were the culmination of Project Convergence 2020, the first in a series of annual demonstrations utilizing next generation AI, network and software capabilities to show how the Army wants to fight in the future. The Army was able to use a chain of artificial intelligence, software platforms and autonomous systems to take sensor data from all domains, transform it into targeting information, and select the best weapon system to respond to any given threat in just seconds. Army officials claimed that these AI and autonomous capabilities have shorted the sensor to shooter timeline -- the time it takes from when sensor data is collected to when a weapon system is ordered to engaged -- from 20 minutes to 20 seconds, depending on the quality of the network and the number of hops between where it's collected and its destination. "We use artificial intelligence and machine learning in several ways out here," Brigadier General Ross Coffman, director of the Army Futures Command's Next Generation Combat Vehicle Cross-Functional Team, told visiting media.
Artificial intelligence technology tested during the Army's Project Convergence exercise largely met expectations and will help transform the way the Army fights in the future, officials say. Army officials held a media roundtable September 23 to discuss lessons learned during the recently completed Project Convergence, which is designed to ensure the Army, as part of the joint force, can rapidly and continuously converge effects across all domains--air, land, maritime, space and cyberspace--to overmatch adversaries in both competition and actual conflict. A key part of the Army's massive modernization effort, the project focuses on people, weapons systems, information, command and control, and terrain to assess areas of advancement and identify areas for improvement. Artificial intelligence, or AI, played a role, along with autonomy and robotics, which Gen. John Murray, USA, commanding general, Army Futures Command, describes as three key technologies for the Army's future. Gen. Murray compares the trio of technological capabilities to those that gave the Germans an initial advantage during World War II.
File photo - Troopers with the U.S. Army 2nd Armored Brigade Combat Team, 3rd Infantry Division fire the main gun round at a target during unit gunnery practice with newly acquired M1A1-SA Abrams tanks at Fort Stewart, Georgia, U.S. March 29, 2018. Picture taken March 29, 2018. The targets are dispersed across expansive, mountainous terrain, yet moving in coordination for attack. The armored vehicle cannot fire upon the enemy tanks and give away its position, so it "networks" the targeting specifics to an armed overhead drone which then attacks the enemy tanks -- exploding them with Hellfire missiles, all without putting soldiers at risk. In similar fashion - perhaps a forward operating unmanned ground vehicle receives the targeting information and, controlled by a human operator, fires on the enemy tanks without exposing the location of a manned crew.
An advancing infantry unit breaks through a thick wall of enemy fighters when suddenly, while under heavy fire, soldiers on the ground receive incoming targeting data from an overhead F-35 showing that their unit will soon encounter a massive, mechanized force of enemy armored vehicles. Moving quickly with little heavy fire support, the advancing Infantry Brigade Combat Team realizes it should await air and ground reinforcements before moving to "close with the enemy" at the next phase of the assault. The ground unit is then able to send intelligence details related to the enemy force up to the F-35, which then drops precision-guided bombs onto the enemy formations. Using its web of integrated sensors, the F-35 is able to synthesize ground navigation details with targeting intelligence received from Army units to perform Close-Air-Support, firing air-to-ground missiles and even its 25mm cannon at opposing forces to clear the way for a continued ground assault. The kind of potential scenario, wherein air-ground intelligence, surveillance and weapons-related specifics of great tactical relevance are shared between ground units and an F-35, could optimize targeting, data-networking and previously impossible tactical methods of attack.