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 algorithm that ranks the creativity of art based on how similar it is to earlier works in terms of everything from color and texture to the presence of familiar objects. The code treats art history as a network -- groundbreaking pieces are connected to later derivatives, and seemingly unique content may have a link to something produced in the distant past.