Speeding the Search for Surface-to-Air Missiles How much better is a computer at finding surface-to-air missiles (SAM) than are trained human analysts? Deep-learning tools can spot them 80 times faster, according to a study by University of Missouri researchers. The Center for Geospatial Intelligence (CGI) used a deep-learning neural network to spot air-defense sites over a wide area of southeastern China using imagery from DigitalGlobe. The network completed the task in 42 min., whereas ...


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