![]() ![]() While the Air Force is largely experimenting with solutions made by contractors like Anduril Industries and Palantir, the Army is mostly relying on government-owned platforms created by government software coders. Though Project Convergence and ABMS are still in their infancies, the Army and the Air Force have adopted different philosophies for incorporating machine learning into the “kill chain” - the sensors and weapon systems that detect, identify and prosecute a threat. Carlos Cuebas Fantauzzi, 22nd Mobile Public Affairs Detachment) Project Convergence is the Army’s campaign of learning to aggressively advance solutions in the areas of people, weapons systems, command and control, information, and terrain and integrate the Army’s contributions to Joint All Domain Operations. ![]() Meanwhile, during the Army’s first Project Convergence exercise held in September, the service tested a prototype of the Extended Range Cannon Artillery, fused data through a new system known as Prometheus and used artificial intelligence to recommend options for shooting a target.Ī Marine Corps F-35 also participated in some tests, receiving targeting information that originated from a satellite, then passing on information from its own sensors to an Army AI system known as FIRES Synchronization to Optimize Responses in Multi-Domain Operations - or FIRESTORM.įelix Jonathan, robotics engineer from Carnegie Mellon University, inputs data into an autonmous ground vehicle control system during the Project Convergence capstone event at Yuma Proving Ground, Arizona, Aug. It also test tech that connects an AC-130 gunship with SpaceX’s Starlink constellation, and used a high-velocity projectile shot from a howitzer to shoot down a surrogate cruise missile.Īll of those demonstrations were enabled by 5G connectivity, cloud computing and competing battle management systems that fused together data and applied machine-learning algorithms. So far, the service has tested out technology that allows the F-35 and F-22 jets to send data to each other despite their use of different waveforms. Indo-Pacific Command’s Exercise Valiant Shield. Over the past year, the Air Force held three ABMS demonstrations, with the most recent taking place Sept. The services want to be able to take data from any of the services' sensors - whether that’s the radar of an E-3 early airborne warning aircraft or the video collected by an MQ-1C Gray Eagle drone - and detect a threat, fuse it with other information coming in from other platforms, use artificial intelligence to provide a list of options to commanders and ultimately send accurate target data to the weapon systems that will shoot it, all in a drastically shortened timeline. The Army’s and the Air Force’s goals are roughly the same. So that whether it’s an F-35 or an artillery battery, they communicate with each other to prosecute enemy targets.” And it really starts with cloud architecture, common data standards, and command-and-control systems that you can wire together so that they can share information at the speed of relevance. “We’re laying down the path to get there. ![]() “I’m very encouraged that we have the Air Staff and the Army Staff investing countless hours,” he said. Ultimately, such close coordination between Army and Air Force leaders only happens once in a generation, said Army Secretary Ryan McCarthy, who pointed to the formation of the AirLand Battle doctrine in the 1980s as the last time they worked together so intimately on a new war-fighting concept. Nicholas Tensing, a multi-domain battle management team, monitors a computer in support of the Advanced Battle Management System (ABMS) Onramp 2, Sat Joint Base Andrews, Maryland. ![]()
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