A.I. could help cameras see in candlelight, research suggests

Low-light photography is a balance between blur and noise — but what if artificial intelligence could even out the score? Researchers from the University of Illinois Urbana-Champaign and Intel have trained a program to process low-noise images in a room lit with a single candle. By feeding a RAW image processor two identical shots, one a short exposure and one a long exposure, the group managed to get an image with less noise and without the odd color casts alternative methods provide. With additional research, the processing algorithms could help cameras take images with less noise without using a longer shutter speed.