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Artificially intelligent art
Posted: 7 July 2017

Paintings created by an AI system have received the thumbs up from the public.

"The idea is to make art that is “novel, but not too novel”, says Marian Mazzone, an art historian at the College of Charleston in South Carolina, who worked on the system.

Mazzone and her colleagues at Rutgers University in New Jersey and Facebook’s AI lab in California modified what’s known as a generative adversarial network (GAN), pitting two neural nets against each other to get better and better outcomes. The general idea is that one of them creates a solution, the other judges it – and the algorithm loops until it attains the desired result.

The team built a generator network that devised images to be scrutinised by a discriminator network, which had learned from analysing 81,500 paintings to distinguish between images we would class as artworks and those we wouldn’t – such as a photo or diagram. The discriminator had also learned to distinguish between styles of art, such as rococo or cubism."

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