Astronomers Are Using Artificial Intelligence to Unlock the Secrets of Black Holes

May not be However, be telescopes that can open all the secrets of superassive black holes, but the AI ​​is now in the state. Recently, the international astronomers team successfully taught a neural network with millions of black hole simulations that allow you to comment on fuzzy information from these mysterious spacecraft in real life.

Different methods to explore a black hole, the event is the most famous of the horizon telescope. The odds are not a single tool, but a series of radio telescopes around the world working together as a telescope. Thanks to the likelihood, supermassive black holes M87 and Sagittarius could be available. These are not images in traditional, but rather the visualization of radio waves from black holes.

To create these images, superkomputers in different parts of the world have processed radio signals. But in this process, they threw most of the information collected because it was difficult to interpret. The new neural network, prepared by the Wisconsin Morgridge Research Institute, aims to improve the solution of the resolution of the resumption of the resumption and hit the Sea of ​​the Data to make new discoveries.

According to a press release from the institute, artificial intelligence successfully analyzed the discarded information and set up a new settings of A * A * sitting in the Milky Way. An alternative image of the black squark structure, this was made this made some new features of the black hole.

“Researchers are now suspicious that the blackgoric in the center of Milky Way has been rotating at the top speed,” said researchers a Press release. The new image also gives clues as the reasons and features of the black hole rotation axis pointed to the earth and the reasons and features of the material disks spread around the black hole.

Astronomers predicted that Sagittarius a * ‘s a moderate speed. Knowing the importance of actual rotation is important, allows you to provide tips on how radiation behavior around the black hole.

“This is against the fight against the prevailing theory,” Radbud University Nijmegen’s, in the press, Nijmegen’s lead researcher of Radboud University Michael Jansen. “But I see the first step in the first place in the first place in the AI ​​and the machine learning approach. Then, we will develop related models and simulations and expand.”

This story originated first String in Spanish and has been translated from Spanish.