New Army challenge seeks machine learning algorithms for better radio frequency analysis - Fedscoop

The Army Rapid Capabilities Office (RCO) is gearing up to launch a challenge seeking artificial intelligence and machine learning algorithms for better radio frequency analysis. Specifically, the Army wants algorithms for "blind signal identification and classification" -- identification of signals without any prior knowledge of the signals present in a radio frequency channel. "Army soldiers are responsible for understanding a vast amount of information presented to them," a FedBizOpps announcement of the challenge reads. "Compounding the issue is the source and location information of, potentially, an infinite number of electronic signals through various sensing means, coordinating defensive and offensive operations to defend against electronic attack, and blunt the electronic means of the threat." Artificial intelligence, RCO hopes, can help.