Researchers at Carnegie Mellon University (CMU) used resources, including Bridges-2, supplied by the Pittsburgh Supercomputing Center (PSC) and allocated through ACCESS to train artificial intelligence to predict the mass of the Coma Cluster of galaxies. By feeding the AI all the known information about the Coma Cluster and teaching it to predict mass, CMU scientists could get a new kind of prediction, this time from a machine with deep-learning capabilities…
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