Google's new Project Muze proves machines aren't that great at fashion design

Google's AI technology may be capable of putting on a trippy art show -- thanks to its neural network-powered DeepDream computer vision program -- but when Google turned its machine learning technology to the world of fashion via its new experiment Project Muze, the results were less than compelling. Designed in partnership with European e-commerce company Zalando, Project Muze is an attempt at building a neural network capable of making creative decisions resulting in virtual fashions that will be transformed into real-life clothing. The project is based on Google's open-source platform TensorFlow and consists of a neural network -- meaning, an algorithm that's modeled on the human brain -- and a set of aesthetic parameters, the company explains. Google showed the neural network things like color, texture and style preferences from more than 600 fashion experts to train it. It then learned to connect those preferences back to people with similar interests.