Scientists at Carnegie Mellon Train AI to Predict the Mass of a Galaxy

Hubble Nets a Subtle Swarm. This Hubble image shows NGC 4789A, a dwarf irregular galaxy in the constellation of Coma Berenices. Original from NASA. Digitally enhanced by rawpixel.

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…

The post Scientists at Carnegie Mellon Train AI to Predict the Mass of a Galaxy appeared first on HPCwire.

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