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Talk18 min

How computers are learning to be creative

Blaise Agüera y Arcas · TED

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About

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."

The talk

  1. How computers are learning to be creative 18 min · TED's player

Credits and licence

Institution
TED
Department
TED@BCG Paris
Speaker
Blaise Agüera y Arcas
Year
2016
Level
For everyone
Language
English
Subjects
Computer science, Psychology and the brain, Art, architecture and design
Source
TED
Licence
CC BY-NC-ND 4.0, as TED states it. Non-commercial use only, and no changed versions. TED's terms
Attribution
TED Talks are licensed by TED under Creative Commons BY-NC-ND 4.0 International and are shown here in TED's own player, as TED's usage policy asks.
Who can watch
TED gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed