The Army Rapid Capabilities Office today announced the winners of a challenge designed to identify artificial intelligence and machine learning tools that could improve the speed and accuracy of electronic warfare operations.
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| Known as the Army Signal Classification Challenge, the competition invited participants to prove they had the best artificial intelligence and machine learning algorithms for performing "blind" signal classification quickly and accurately. The goal was to find solutions that could reduce the cognitive burden placed on electronic warfare soldiers by identifying signals of interest in the electromagnetic spectrum. (Illustration source: A.I. Magazine) |