From X-ray speckles to solar magnetic fields, AI shrinks data while keeping crucial details

Next-generation science experiments will collect more data than ever—so much so that they’ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy’s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They published the work in Nature Machine Intelligence.