How computers are learning to be creative

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.”

Who is Blaise Agüera y Arcas?

Blaise Agüera y Arcas is a software engineer, software architect, and designer. Blaise Agüera y Arcas works on machine learning at Google and leads teams that build products and technologies that leverage machine intelligence, computer vision, and computational photography. Previously a Distinguished Engineer at Microsoft, he has worked on augmented reality, mapping, wearable computing and natural user interfaces as the architect of Bing Maps and Bing Mobile. He is an authority in computer vision, machine intelligence, and computational photography and presents regularly at conferences.

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