'At the Speed of Relevance': US Air Force Building AI to Sort Drone Data Faster

Airborne data collecting platforms like the RQ-4 Global Hawk have a problem: the usefulness of the data they collect is limited by how fast and how well it can be analyzed. US military intelligence gathers a lot of data, but in order to make the data useful for a decision making process, the Air Force needs a "sensing grid that fuses together data," C4ISRNET reported Wednesday. AI will help the force interpret that fused data. The AI will harvest information from airborne systems in development such as Gremlin drones, which the US military portrays as a swarm of small drones that take off from an aircraft mid-flight and are recovered by the same aircraft. "How do I get the data so I can fuse it, look at it and then ask the right questions from the data to reveal what trends are out there?" Lt. Gen. VeraLinn Jamieson said in a July 31 interview with the news outlet.