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New Army 'Accelerated Multi-Node Attack' enabled by AI at Project Convergence 2020

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Gray Eagle drones were armed with HELLFIRE missiles and GBU-69 glide bombs, 155mm artillery weapons fired rounds 60km (37.3 miles) to destroy SA-22 enemy air defenses and armored ground combat vehicles directly hit multiple T-72 tanks during the Army's Project Convergence 2020 at Yuma Proving Grounds, Ariz. The real story, however, according to senior Army leaders attending the service's transformational combat experiment, was about data sharing, networked targeting and a cutting edge AI system called FIRESTORM. "The bullet flying through the air and exploding is interesting, but that is not what is compelling about Project Convergence. It is everything that happens before the trigger is pulled. We did not come out here for a precision-fires exercise, what we came out here to do is increase the speed of information between sensing the target and passing that information to the effector," Brig.


F-35 sends targets to ground soldiers and army soldiers send targets up to F-35s

FOX News

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.


Inside the Army's futuristic test of its battlefield artificial intelligence in the desert

#artificialintelligence

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.


Army creates multi-domain task force units in Europe, Pacific

FOX News

Fox News Flash top headlines for Oct. 9 are here. Check out what's clicking on Foxnews.com If land-based precision artillery, maneuvering Air Force fighter jets and Navy destroyers were all able to seamlessly share sensitive targeting information in real time during high-intensity combat, the Pentagon would be closely approaching its currently-envisioned concept of modern joint multi-domain warfare. While elements of this kind of information sharing, of course, already exist, the Department of Defense is currently refining and expanding its concept of joint attack with the intention of reaching an entirely new level of modern operational effectiveness. This not only includes incorporating previously less-impactful warfare domains, such as space, cyber and electronic warfare, but also envisions new dimensions of land, air, surface and undersea integrated attack.


New helicopter-killing Army artillery cannon destroys target at 39.8 miles

FOX News

When a precision-guided artillery projectile exploded an enemy target from 64km (39.8 miles) away in the Arizona desert during a recent live-fire exercise, the Army took a new step toward redefining land-attack tactics and paving the way toward a new warfare era in long-range fires. In a March 2020 demonstration firing of the emerging Long Range Precision Fires program at Yuma Proving Grounds, Ariz., an Army Howitzer blasted an Excalibur 155m artillery round out to ranges twice that of what existing artillery weapons are now capable of. The new weapon in development, called Extended Range Cannon Artillery, not only preserves the GPS-guided precision attack options characteristic of present-day artillery, but also extends attack ranges from roughly 30km (18.6 miles) out to nearly 70km (43.5 miles). This, senior Army weapons developers explain, gives ground artillery commanders the ability to destroy previously unreachable air and ground targets. "This provides a longer range capability, enabling commanders to attack helicopters, UAVs and go after other new targets farther range," Gen.