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.

The first black hole image, taken in the Messier 87 galaxy by the Event Horizon Telescope, just got more accurate with AI.

For the first time, astronomers have observed, in the same image, the shadow of the black hole at the centre of the galaxy Messier 87 (M87) and the powerful jet ...

In the case of Messier 87, the black hole’s boundary — the event horizon from which the EHT takes its name — is around 2.5 times smaller than the shadow it casts and measures just under 40 ...

The 'orange donut', as it has been dubbed, sits at the heart of the Messier 87 galaxy 55 million light-years from Earth and in 2019 became the first black hole to be directly imaged by astronomers.

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 ...

Messier 87 was also the subject of the first-ever published photograph of a black hole, which was released back in 2019. The newer image, however, ...

At the center of Messier 87, a giant galaxy 55 million light-years from Earth, is a darkness 24 billion miles across and as massive as 6.5 billion suns — a trapdoor to infinity called a black hole.

The new image of the black hole in the Messier 87 galaxy. L. Medeiros (Institute for Advanced Study), D. Psaltis (Georgia Tech), T. Lauer (NSF’s NOIRLab), and F. Ozel (Georgia Tech) In 2019 ...