DARPA’s AIR program will improve the government-provided baseline models’ speed and predictive performance to better match how the Department of Defence’s systems perform in the real world. During the 18-month period of performance, Lockheed Martin will apply AI and Machine Learning (ML) techniques to create surrogate models of aircraft, sensors, electronic warfare and weapons within dynamic and operationally representative environments.
“In complex airborne missions, our customers need access to advanced technologies that connect critical systems quickly across all domains. The DARPA AIR program will use state-of-the-art scientific ML technology and Lockheed Martin’s ARISE infrastructure to deliver unprecedented amounts of data that service members can use to make faster and more informed decisions,” said Gaylia Campbell, vice president of Engineering and Technology for Lockheed Martin Missiles and Fire Control. “This will provide significant cost savings opportunities for the Department of Defence and serve as a foundation for future AI defence solutions, ensuring the U.S. and its allies maintain their competitive advantage no matter the circumstances.”
