In Vast Oceans of Data, AI Extracts the Pearls

The U.S. Air Force is deploying a new open architecture for its primary intelligence, surveillance and reconnaissance system. At the same time, Air Force researchers are developing deep learning capabilities that will allow the decades-old system to sort through reams of data more easily, enabling faster decision making on the battlefield and enhancing multidomain command and control. An Air Force fact sheet describes the Air Force Distributed Common Ground Station (AF DCGS) as a planning and direction, collection, processing and exploitation, analysis and dissemination weapon system. The system employs a global communications architecture that connects multiple intelligence platforms and sensors. Airmen assigned to AF DCGS produce actionable intelligence from data collected by various sensors on the U-2, RQ-4 Global Hawk, MQ-1 Predator, MQ-9 Reaper and other intelligence, surveillance and reconnaissance (ISR) platforms.