Computer Vision: How Bots See The World Around Them

In my piece on neural network art, I looked at how bots generate images based on their existing โ€˜knowledgeโ€™ of shape and form. These computers are trained on large data sets of images, all classified and tagged so the machine can make sense of them. Googleโ€™s Deep Dream, for example, uses a set of ImageNet material with 120 dog categories, explaining why almost everything it hallucinates has some kind of dog, however subtle.

Projects like Deep Dream are more of an artistic side-project than a useful tool, but the tech itโ€™s based on is a bridge towards computer programs being able to make sense of the world around them โ€” whether thatโ€™s an image tagger for a search engine, or a robot with nuanced spacial awareness.…   [continue reading]

Neural Network Art: From AI Nightmares to Alien Volcanoes

As we’ve seen from many Twitter bots, software is more than capable of creating captivating art.

But art created by neural networks moves past basic random patterns, using millions of source images, and AIs so advanced they can create surreal landscapes from scratch, paint portraits ofย dog-men and modelย alien volcanoes on planets we can’t closely observe.

In this post, I’m going to explain how neural networks โ€” software designed to emulate the human brain โ€” generate images, and speculate what that could mean for the future of art and entertainment.

…   [continue reading]