You've seen the very first photo of a black hole, now meet the person who helped to pull it together. MIT grad student Katie Bouman was behind the algorithm which helped to image the black hole, ...
Morning Overview on MSN
Sharper black hole images may test Einstein’s ideas
Sharper views of black holes are turning what once looked like a fuzzy cosmic icon into a precision tool for testing gravity ...
In 2019 we got the first-ever direct image of a black hole, which resembled a fuzzy, orange donut. Now, the team has refined the iconic image with the help of machine learning algorithms to produce ...
Black Forest Labs Inc., a startup that develops artificial intelligence models optimized for image generation tasks, has ...
Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
Tom Simonite covers artificial intelligence for WIRED. But Idemia’s algorithms don’t always see all faces equally clearly. July test results from the National Institute of Standards and Technology ...
The development of the algorithm that made it possible to create the first image ever of a black hole was led by computer scientist Katie Bouman while she was still a graduate student at MIT. Bouman ...
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