A machine learning algorithm has sharpened the first-ever image of a black hole, the supermassive monster at the heart of the galaxy Messier 87, to its maximum fidelity.

A machine learning technique called PRIMO has sharpened the famous first-ever image of a black hole from 2019.

Related: How dancing black holes get close enough to merge This has led astrophysicists to a conundrum called the "final parsec problem."Simulations have shown that gravitational interactions with ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is ...

Freelance writer Amanda C. Kooser covers gadgets and tech news with a twist for CNET. When not wallowing in weird gear and iPad apps for cats, she can be found tinkering with her 1956 DeSoto. One ...

Researchers have used machine learning to tighten up a previously released image of a black hole. As a result, the portrait of the black hole at the center of the galaxy Messier 87, over 53 ...