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A machine learning algorithm has sharpened the first-ever image of a black hole, the supermassive monster at the heart of the galaxy Messier 87, to its maximum fidelity.
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First-Ever Black Hole Image Sharpened Using Machine LearningThe historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO.
The world watched in delight when scientists revealed the first-ever image of a black hole in 2019, showing the huge black hole at the center of galaxy Messier 87.
Researchers have used machine learning to tighten up a previously released image of a black hole. As a result, the portrait of the black hole at the center of the galaxy Messier 87, over 53 ...
Scientists used machine learning to create a sharper image of the supermassive black hole in the galaxy M87 (right), compared with the original image (left). L. Medeiros et al 2023 By Emily Conover ...
The first picture image of the black hole at in the M87 galaxy was released in 2019. Thanks to machine-learning tech, we now have a clearer look.
The iconic image of the supermassive black hole at the center of M87—sometimes referred to as the “fuzzy, orange donut”—has gotten its first official makeover with the help of machine learning. The ...
Machine learning has done a lot in the past several years, from delivering crisper game graphics to unleashing a torrent of AI chatbots upon the world. Now, it has been instrumental in refining ...
It takes more than a galaxy merger to make a black hole grow and new stars form: machine learning shows cold gas is needed too to initiate rapid growth Date: March 5, 2024 Source: University of Bath ...
Back in 2019, the EHT made headlines with its announcement of the first direct image of a black hole, located in the constellation of Virgo, some 55 million light years away. It was a feat that ...
The first iconic image of a black hole looked like a fuzzy, orange donut, but now that picture has been sharpened up to a fiery ring, thanks to computer simulations and machine learning.
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