This combination of images provided by researcher Lia Medeiros shows images of the M87 black hole released in 2019, left, and an updated one for 2023. The new version, published Thursday, April 13, 2023, in the Astrophysical Journal Letters — keeps the original shape, but with a skinnier ring and a sharper resolution. 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. (Lia Medeiros via AP)
This combination of images provided by researcher Lia Medeiros shows images of the M87 black hole released in 2019, left, and an updated one for 2023. The new version, published Thursday, April 13, 2023, in the Astrophysical Journal Letters — keeps the original shape, but with a skinnier ring and a sharper resolution. 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. (Lia Medeiros via AP)
NEW YORK (AP) — The first image of a black hole captured four years ago revealed 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 Thursday in the , 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 center of the M87 galaxy, 53 million light-years from Earth. A light-year is 5.8 trillion miles. It was made using data gathered by a network of radio telescopes around the world, showing swirling light and gas.
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 center, 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.
By having a clearer picture, researchers hope to learn more about the black hole’s properties and gravity in future studies. And Medeiros said the team plans to use machine learning on other images of celestial objects, including possibly the .
___
The Associated Press Health and Science Department receives support from the Howard Hughes Medical Institute’s Science and Educational Media Group. The AP is solely responsible for all content.
°µÍø½ûÇø. All rights reserved.
Get the latest from °µÍø½ûÇø News in your inbox. Select the emails you're interested in below.
“We should be the Taylor Swift of financial institutions.â€
Sorry, an error occurred.
Already Subscribed!
Cancel anytime
Thank you .
Your account has been registered, and you are now logged in.
Check your email for details.
Submitting this form below will send a message to your email with a link to change your password.
An email message containing instructions on how to reset your password has been sent to the email address listed on your account.
No promotional rates found.
Secure & Encrypted
Thank you.
Your gift purchase was successful! Your purchase was successful, and you are now logged in.
| Rate: | |
| Begins: | |
| Transaction ID: |
A receipt was sent to your email.
