“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, ...

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 ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook William Deresiewicz sees a crisis in the arts, and he needs you to stop it. Unfortunately, it’s ...

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, ...

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 ...