The algorithm, in other words, was calibrated for representational art, which explains the off-the-charts creativity readings generated by abstract art from the early 20th century. Get the latest ...

[Jenny] changed the algorithm to use 298 nails and re-ran it. [Jenny] does a great job of discussing the many variables at play in this hardware representation of software-created art. The most ...

and artist. By tapping into the history of art and the latest machine learning approaches the algorithm can draw connections that had only been made by human brains before. To train their ...

If you ask a computer to describe a piece of abstract art, it might tell you a priceless print looks like a toilet. To better understand how algorithms interpret art that even humans might not ...

Ben turned this vision into reality by developing the Networked Artistic Learning Algorithm (NALA), an innovative platform that bridges the gap between artists, and art lovers. NALA boasts a state ...

Xu introduces a classification method that builds on the AdaBoost algorithm. This machine learning ... in conservation but in education, offering art historians and students an easier way to ...

When it comes to fine art, there is scarcely a collector who ... a team of researchers in the U.S. and U.K. have collaborated to craft an algorithm that can spot irregularities invisible to ...

In an attempt to understand the impact of algorithms on art curation, researchers at the University of Oxford’s Internet Institute have unveiled a new London art exhibition ‘The Algorithmic Pedestal’, ...

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