Artificial Intelligence Is Unlocking the Secrets of Black Holes

May not Nevertheless, be able to unlock all the privacy of supermasive black holes, but AI is now in the case. Recently, an international team of astronomers has successfully trained a neural network with several million black hole simulations to allow it to explain obscure data to captured these in real life objects in real life.

Among the various methods for a black hole investigation, the event Horizon telescope is the most famous. ET is not a single material, but a number of radio telescopes around the world that work together like a single telescope. Thanks to EHT, it was possible to find images of supermasive Black Holls M87 and Sagittarius A*. These are not images in the Traditional Taithic sense but instead visualization of radio waves from the black hole.

To create these images, super computers in different parts of the world processed radio signals captured by EHT. But in the process, they canceled a lot of information they gathered, as it was difficult to explain. The new neural network, trained by experts at Wisconsin’s Morgridge Research Institute, aims to improve the resolution of EHT’s readings and tap the data to the sea to discover new.

According to a press release from the institute, artificial intelligence has successfully analyzed the data discussed at once and established a new parameter of Sagittarius A*, which sits in the center of Milkywe. An alternative image of the Blackhole structure was created, it reveals some new features of the black hole.

“Researchers now suspect that the Blackhole is rotating at the center of Milkyo, at the top speed,” researchers wrote at Press releaseThe The new image also indicates that the black hole’s rotation axis points to the Earth and gives the formula on the causes and properties of the disks propagated around the black hole.

Astronomers had previously assumed that the bow A* rotated at a medium to fast pace. Its original rotation speed is important to know, as it allows us to determine how the radiation around the black hole behaves and provides the clue about its stability.

In a press release, Michael Jansen, a leading researcher at the University of Radboud in the Netherlands, “We are definitely exciting the conventional theory.” “However, I see our AI and machine learning as initially the first step Next Next, we will improve and expand related models and simulations.”

This story was originally attended Wired In Spanish And have been translated from Spanish.