Earlier this month, the auction house Christie’s sold what it says is the first ever piece of algorithmically generated art sold by a major auction house. The price-tag — nearly half a million American dollars — has raised a number of questions about the origins of authorship, the novelty-obsessed art market, and, perhaps most importantly: why?
And yet the efforts underway to teach machines about art, or more precisely about images, are hardly a publicity stunt. From being able to better detect deceptive videos to retroactively changing the cast of a movie, computer scientists have a number of practical reasons for teaching machines how to better engage with the visual world.
Read More… Video Shows How A.I. Generated Art Can Both Mesmerize or Haunt Your Dreams