Computers can learn to find solar flares and other events in vast streams of images of the sun and help NOAA forecasters issue timely alerts. A new study in the Journal of Space Weather and Space Climate describes this new machine-learning technique. The real-time classification has been developed by scientists at NOAA NCEI and the Cooperative Institute for Research in Environmental Sciences and searches massive amounts of satellite data to pick out features significant for space weather.