An XQ-58 flies while controlled by machine-learning algorithms, as an F-15E observes.
Credit: U.S. Air Force
A Kratos XQ-58 Valkyrie has been flown for the first time with a certain tactical problem solved during the flight by machine learning (ML)-trained algorithms developed by the Air Force Research Laboratory (AFRL). The July 25 flight at the Eglin Test and Training Complex off the Florida coast builds...
Subscription Required
Machine Learning-Trained Autonomy Tested By XQ-58 For Skyborg is published in Aerospace Daily & Defense Report, an Aviation Week Intelligence Network (AWIN) Market Briefing and is included with your AWIN membership.
Already a member of AWIN or subscribe to Aerospace Daily & Defense Report through your company? Login with your existing email and password.
Not a member? Learn how you can access the market intelligence and data you need to stay abreast of what's happening in the aerospace and defense community.
Related Content
