“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, ...

When it comes to fine art, there is scarcely a collector who hasn't been fooled or almost fooled by an extremely well-crafted fake being passed off as a masterpiece by an artistic giant like Raphael, ...

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 ...

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, ...

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 ...

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 ...