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.

It sounds like a dispatch from the distant future: a computer system that can not only reconstruct images from reams of X-ray data at hundreds of times the speed of current methods, but can learn from experience and design better and more efficient ways of calculating those reconstructions. But with the next generation of X-ray light sources on the horizon — and with them, a massive uptick in the amount of data they will generate — scientists have a reason to pursue that future, and quickly. Click here to learn more.