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Medical imaging using magnetic resonance imaging (MRI) is very time-consuming since an image has to be compiled from data from many individual measurements.
A machine learning technique filled in data gaps in the image of M87’s black hole, resulting in a thinner ring.
It makes use of the same machine-learning technique that Google uses to label millions of Web images.
The new method is based on a leading-edge machine learning technique, called Vision Transformer, contributes greatly to the practical application of a 'lens-less' camera.
A machine learning technique called PRIMO has sharpened the famous first-ever image of a black hole from 2019.
The author of a study on clinical federated learning walks readers through various forms of artificial intelligence and shows how provider organizations can use each.
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