Scientists have successfully taught computers to perform the complex task of rapidly sorting thousands of fragmented pottery designs into differing stylistic categories.
When machine learning and the use of computers are emphasized in artistic research, in reconstructions, or in beauty contests, viewers often take the results to be scientific, objective, and unbiased. But they are not.
A software engineer at Google used the computer vision program Deep Dream to create the mesmerizing, slightly dizzying video.
While “Computed Curation” may seem like it cuts out the human editor, it actually teaches us something else entirely.
A paper released earlier this month by a group of Rutgers University researchers applies computer vision and machine learning to the question of artistic influence.