The 2019 release of the first image of a black hole, captured by the Event Horizon Telescope (EHT), was hailed as a significant scientific achievement. But truth be told, it was a bit blurry — or, as one astrophysicist involved in the effort called it, a "fuzzy orange donut." Scientists on Thursday unveiled a new and improved image of this black hole — a behemoth at the center of a nearby galaxy — mining the same data used for the earlier one but improving its resolution by employing image reconstruction algorithms to fill in gaps in the original telescope observations. The use of machine learning to improve the photo is detailed in a study in the Astrophysical Journal Letters. Two professors in the School of Physics who are EHT founding members — Feryal Ozel, who is also school chair, and Dimitrios Psaltis — are co-authors of the study. (This story was also covered in Space Daily, ScienceDaily and the Calgary Herald.)