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        Policy UpdatesNewsroomReoptimizationBIOGRAPHIESAF Senior Leaders      An F-15E Strike Eagle from the 96th Test Wing’s 40th Flight Test Squadron at Eglin AFB, Florida flies in formation with an XQ-58A Valkyrie flown by artificial intelligence agents developed by the Autonomous Air Combat Operations, or AACO, team from AFRL. The algorithms matured millions of hours in high fidelity AFSIM simulation events, 10 sorties on the X-62 VISTA, Hardware-in-the-Loop events with the XQ-58A, and ground test operations. (U.S. Air Force photo)An F-15E Strike Eagle from the 96th Test Wing’s 40th Flight Test Squadron at Eglin Air Force Base, Fla. flies in formation with an XQ-58A Valkyrie flown by artificial intelligence agents developed by the Autonomous Air Combat Operations, or AACO, team from the Air Force Research Laboratory, Wright-Patterson AFB, Ohio. The algorithms matured during millions of hours in high fidelity AFSIM simulation events, 10 sorties on the X-62 VISTA, Hardware-in-the-Loop events with the XQ-58A and ground test operations. (U.S. Air Force photo)
                
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AFRL AI agents successfully pilot XQ-58A Valkyrie uncrewed jet aircraftPublished Aug. 3, 2023
                    
                    
                    Air Force Research Laboratory Public Affairs
            **WRIGHT-PATTERSON AIR FORCE BASE, Ohio (AFNS) --**To reduce risk to the development and maturation of artificial intelligence capabilities, the **Air Force Research Laboratory** led a **successful three-hour sortie**, July 25, demonstrating the first flight of AFRL-developed, machine-learning trained, artificial intelligence algorithms on an **XQ-58A Valkyrie**.

Test units executed the flight in the Eglin Test and Training Complex. The flight builds upon four years of partnership that began with the **Skyborg** Vanguard and the Autonomous Aircraft Experimentation (AAx) programs.
 
“The mission proved out a multi-layer safety framework on an AI/ML-flown uncrewed aircraft and demonstrated an AI/ML agent solving a tactically relevant “challenge problem” during airborne operations,” said Col. Tucker Hamilton, DAF AI Test and Operations chief. “This sortie officially enables the ability to develop AI/ML agents that will execute modern air-to-air and air-to-surface skills that are immediately transferrable to other autonomy programs.”
 
The algorithms were developed by AFRL’s Autonomous Air Combat Operations team. The algorithms matured during millions of hours in high fidelity simulation events, sorties on the **X-62 VISTA**, Hardware-in-the-Loop events with the XQ-58A and ground test operations.07:53
    
    

    
    
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        Members of the Autonomous Aircraft Experiment Team explain how they are taking autonomous research concepts that exist in a lab and turn them into operational realities for the warfighter. (U.S. Air Force video by Air Force Research Laboratory)






“AACO has taken a multi-pronged approach to uncrewed flight testing of machine learning Artificial Intelligence and has met operational experimentation objectives by using a combination of High-performance computing, modeling and simulation, and hardware in the loop testing to train an AI agent to safely fly the XQ-58 uncrewed aircraft,” said AACO Program Manager, Dr. Terry Wilson.
 
The **Department of Defense** is committed to the responsible employment of AI. To achieve responsible use of AI requires teaming of developers and users of AI enabled autonomy working in collaboration with acquisition specialists.
 
“AI will be a critical element to future warfighting and the speed at which we’re going to have to understand the operational picture and make decisions,” said **Brig. Gen. Scott Cain**, AFRL commander. “AI, Autonomous Operations, and **Human-Machine Teaming** continue to evolve at an unprecedented pace and we need the coordinated efforts of our government, academia and industry partners to keep pace.”LR 



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