AI finds more than 1,200 gravitational lensing candidates

A research team with participation by Berkeley Lab physicists has used artificial intelligence to identify more than 1,200 possible gravitational lenses—objects that can be powerful markers for the distribution of dark ...

Autofocusing of microscopy images using deep learning

Optical microscopes are frequently used in biomedical sciences to reveal fine features of a specimen, such as human tissue samples and cells, forming the backbone of pathological imaging for disease diagnosis. One of the ...

Artificial intelligence beats us in chess, but not in memory

In the last decades, artificial intelligence has shown to be very good at achieving exceptional goals in several fields. Chess is one of them: in 1996, for the first time, the computer Deep Blue beat a human player, chess ...

Using neural networks for faster X-ray imaging

A team of scientists from Argonne is using artificial intelligence to decode X-ray images faster, which could aid innovations in medicine, materials and energy.

Team develops component for neuromorphic computer

Neural networks are some of the most important tools in artificial intelligence (AI): they mimic the operation of the human brain and can reliably recognize texts, language and images, to name but a few. So far, they run ...

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