Optical Illusions That Fool Google-Style Image Recognition Algorithms

A technique called deep learning has enabled Google and other companies to make breakthroughs in getting computers to understand the content of photos. Now researchers at Cornell University and the University of Wyoming have shown how to make images that fool such software into seeing things that aren't there. The researchers can create images that appear to a human as scrambled nonsense or simple geometric patterns, but are identified by the software as an everyday object such as a school bus. The trick images offer new insight into the differences between how real brains and the simple simulated neurons used in deep learning process images. Researchers typically train deep learning software to recognize something of interest--say, a guitar--by showing it millions of pictures of guitars, each time telling the computer "This is a guitar."