Blaise Agüera y Arcas:
How computers are learning to be creative
We're on the edge of a new frontier in art and creativity — and it's not human. Blaise Agüera y Arcas, principal scientist at Google, works with deep neural networks for machine perception and distributed learning. In this captivating demo, he shows how neural nets trained to recognize images can be run in reverse, to generate them. The results: spectacular, hallucinatory collages (and poems!) that defy categorization. "Perception and creativity are very intimately connected," Agüera y Arcas says. "Any creature, any being that is able to do perceptual acts is also able to create."
AMI is a program at Google that brings artists and engineers together to realize projects using machine intelligence. Works are developed alongside artists' current practices and shown at galleries, biennials, festivals or online. By supporting this emerging form of art-making, we are opening our research and the public conversation to new ways of thinking about intelligent systems.