The first image of a black hole captured four years ago showed a fuzzy, fiery doughnut-shaped object.

Now, researchers have used artificial intelligence to give that cosmic beauty shot a touch-up.

The updated picture, published on Thursday in the Astrophysical Journal Letters, keeps the original shape, but with a skinnier ring and a sharper resolution.

The image released in 2019 gave a peek at the enormous black hole at the centre of the M87 galaxy, 53 million light-years from Earth. For reference, one light-year is 5.8 trillion miles.

The black hole was captured by the Event Horizon Telescope Collaboration (EHT), a vast array of telescopes all across the planet that were synchronized to work together.

But even with many telescopes working together, gaps remained in the data.

In the latest study, scientists relied on the same data and used machine learning to fill in the missing pieces.

The resulting picture looks similar to the original, but with a thinner ‘doughnut’ and a darker centre, researchers said.

‘For me, it feels like we’re really seeing it for the first time,’ said lead author Lia Medeiros, an astrophysicist at the Institute for Advanced Study in New Jersey, in the US.

She said the team plans to use machine learning on other images of celestial objects, including possibly the black hole at the centre of our Milky Way galaxy.

The M87 galaxy is one of the biggest and brightest in the known universe and is 53.49 million light years away from Earth. It is notable for shooting out a fast jet of charged subatomic particles that stretches for some 5,000 light years, which makes it the perfect target for the EHT project.

Although the telescopes making up the EHT are not physically connected, they are able to synchronize their recorded data with atomic clocks which precisely time their observations.

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