“Creativity scores for 1710 paintings from Artchive dataset. Each point represents a painting. The horizontal axis is the year the painting was created and the vertical axis is the creativity score.” ...

Art history academics and geeks, prepare to be disappointed: Scientists have developed a computer algorithm that accurately rates the creativity of artworks throughout history, with Pablo Picasso, ...

Who would you trust to determine history's most creative art? A room full of seasoned critics? Rutgers University researchers think a machine can do the job. They've developed a computer vision ...

It takes a trained eye to assess all the different components of a painting, and it’s even more difficult to amass the knowledge needed to put that work in historical context. But what if a computer ...

Making broad differentiations between modern and classic paintings can be fairly easy for the untrained eye, but telling the difference between an Impressionist and a Post-Impressionist painting may ...

Few areas of academic inquiry have escaped the influence of computer science and machine learning. But one of them is the history of art. The challenge of analyzing paintings, recognizing their ...

A new system developed by MIT researchers called “MosAIc” is finding hard-to-spot similarities between art pieces at the Metropolitan Museum of Art and Amsterdam’s Rijksmuseum. MosAIc scans an image, ...

William Deresiewicz sees a crisis in the arts, and he needs you to stop it. Unfortunately, it’s not going to be that simple, because the problem comes from something that is increasingly woven into ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. We live in a world that’s increasingly controlled by what might be called “the algorithmic gaze.” As we cede ...