Research Computing News
By creating millions of virtual universes and comparing them to observations of actual galaxies, a UA-led research team has made discoveries that present a powerful new approach for studying galaxy formation.
UA’s free HPC resources are popular and demand is increasing. Researchers from a broad spectrum of disciplines are exploring new areas such as machine learning and deep learning. The UITS Research Technologies group has been working to meet this new demand head on.
What the Messier 87 black hole would look like? UA researchers Dimitrios Psaltis, Feryal Ozel, Chi-kwan Chan, and Lia Medeiros used the El Gato system in the Computer Center's Research Data Center to model it before processing of the Event Horizon Telescope data was completed.
Two new institutes have put the UA on track to become a data science powerhouse at the national level and leader in promoting data science literacy and transdisciplinary research.
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