Miscellaneous


How computers are learning to be creative

Published on Jul 22, 2016

We're on the edge of a new frontier in art and creativity — and it's not human. Blaise Ag?era 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," Ag?era y Arcas says. "Any creature, any being that is able to do perceptual acts is also able to create."
 

How facial recognition caught a 40-year fugitive

Published on Aug 15, 2016

States are rushing to implement facial recognition systems in driver’s license databases. The result has been bad news for fugitives.
 
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