
Scientists Use AI to Enhance First-Ever Photo of Black Hole
A team of researchers has developed a machine-learning technique to give the first-ever image of a supermassive black hole a new, sharper look.
A team of researchers has developed a machine-learning technique to give the first-ever image of a supermassive black hole a new, sharper look.
Astronomers have unveiled the first image of the supermassive black hole at the center of the Milky Way galaxy. It was theorized there was a black hole at the center of the galaxy but this image provides overwhelming evidence that this is the case.
In 2019, researchers made international headlines by releasing the world's first photo of a black hole. Here's a 1-minute video that zooms from the night sky into that black hole image to show how impressive the achievement was.
The world's first photo of black hole was published back in April 2019, and scientists have been laboring to find ways to capture sharper images of the mysterious regions of spacetime. Scientists are now saying that focusing on a black hole's "photon ring" may lead to a huge increase in sharpness.
The first-ever picture of a black hole was unveiled yesterday, generating a huge amount of interest and excitement across the world. But how exactly was this picture captured? Well, it definitely wasn't as simple as "pointing and clicking" a giant camera.
There are no real images of a black hole, only artist renderings like the one above and that really cool CGI version in the movie Interstellar. But that may change in the coming years thanks to an algorithm recently developed at MIT.