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The GPU is the engine of modern AI, NVIDIA solution architect Jon Barker Barker told a broad audience from the defense, intelligence and homeland security communities at the recent annual GEOINT Symposium. (See “Accelerating AI with GPUs: A New Computing Model”) The event is hosted by the U.S Geospatial Intelligence Foundation, a nonprofit group promoting geospatial intelligence (GEOINT) work, such as mapping and charting.
Barker described how deep learning on embedded GPU systems can detect, classify and track objects in high-resolution aerial imagery with speeds and accuracy surpassing human ability. Enhancing military target recognition, infrastructure mapping, search-and-rescue missions and aid delivery during humanitarian crises gives the technology broad applicability, he said.
Barker described how deep learning on embedded GPU systems can detect, classify and track objects in high-resolution aerial imagery with speeds and accuracy surpassing human ability. Enhancing military target recognition, infrastructure mapping, search-and-rescue missions and aid delivery during humanitarian crises gives the technology broad applicability, he said.
