Advances in machine learning and computational imaging are transforming not only how scientists analyze data but how they conduct entire experiments. At U.S. Department of Energy (DOE) user facilities, researchers are integrating machine learning directly into experimental workflows—using it to identify what to measure, reconstruct images as data are collected and rapidly extract scientific information.