Neural Photo Editor works like magic thanks to machine learning

Neural Photo Editor is an experimental piece of retouching software from researchers at the University of Edinburgh that uses neural networks to act like Photoshop on steroids. Thanks to machine learning, it can intuitively interpret how a user intends to retouch a photo based on a "contextual paintbrush." A single brush can change hair color, fill in bald spots, or add a toothy grin. The process couldn't be simpler: Users select a color for their paintbrush and the system analyzes that color in context with the image in order to produce an intelligent output. Painting over a subject's mouth with a white brush, for example, can make a smile larger, while painting with a dark color on a forehead can add bangs.