Using deep learning and supercomputers, researchers have been able to identify and map 1.2 billion ice wedge polygons in the Arctic permafrost based on satellite imagery. The data helps establish a baseline from which to detect changes to the region. The researchers trained a deep learning system to identify Arctic features and TACC's Longhorn supercomputer to analyze the data. The ice wedge data will be available for rapid analysis on the new Permafrost Discovery Gateway.