Feb 15, 2022
Dynetics, a wholly owned subsidiary of Leidos, has been selected for Phase 2 of the Air Combat Evolution (ACE) program, Technical Area 3 (TA3), by the Defense Advanced Research Projects Agency's (DARPA) Strategic Technology Office (STO). ACE TA3, also known as AlphaMosaic, seeks to develop and demonstrate a battle management capability driven by artificial intelligence (AI).
In the 16-month Phase 2 contract valued at $2.6 million, Dynetics will continue to develop a matured approach to battle management, where a single pilot can act as a commander for large-scale, collaborative air warfare.
The ACE program is using the air combat domain as an initial challenge for implementing AI to demonstrate methods for increasing warfighter trust in combat autonomy. Phase 1 focused on AI architecture design for large force battle management in a Mosaic Warfare construct, where the team effectively demonstrated the ability of AI to select air combat forces, plan strategy and execute tactics.
Forecasts by Application (Airport, Ports, Military Bases, Forward Operating Bases, Wildlife, Oil & Gas, Power Plants, Critical Material Distribution, Secure Government Facilities, Events, Others), by System Type (Perimeter Surveillance, Inner Area Surveillance, UAVs, Counter UAV, Infrastructure, Active Countermeasures, Access Control), by Equipment Type (EO/IR Cameras, Radar, C2, Radio/Communication, ESM/RF Monitoring/Cell Phone Intercept, Jammer, Infrastructure, Counter UAV System, Access Control, Advanced Sensor Data Processing) AND Regional and Leading National Market Analysis PLUS Analysis of Leading Companies AND COVID-19 Impact and Recovery Pattern AnalysisDownload free sample pages
"As we move into Phase 2, learning how to create symbiosis between air battle managers and our AI-based battle management system, AlphaMosaic, will be our key focus, said Kevin Albarado, chief engineer for ACE at Dynetics. "The potential to quickly transition all or parts of this technology to the warfighter is tremendous, as it fuses human ingenuity and decision making with the speed and scale of artificial intelligence. Our team is excited to focus on interactions between the human battle manager and AI. What we learn together with DARPA should be foundational and beneficial for many other applications in the Department of Defense."
The team has already begun transition efforts to flight test portions of AlphaMosaic in fighter jets. The applications being tested aim to better inform pilots with group-level situational awareness and coordinated targeting responsibility.
Following a successful Phase 2, Phase 3 would include a realistic, manned-flight environment involving complex human-machine collaboration