“Otter with a Pearl Earring” is among the masterpieces generated by a new neural network, but some worry about the potential for disinformation and bias.
A new deep neural network developed by an AI research lab and university researchers could help epigraphers restore and date fragmentary inscriptions.
A recent study has found that AI technology can identify an artist’s brushstrokes with over 90% accuracy.
Eugene Lim’s novel explores mortality by way of Buddhism, cybernetics, and Asian identity.
Artist Matteo Rattini trained a neural network to create images of contemporary sculptures based on Instagram’s algorithm suggestions.
These feline beauties were created entirely by an algorithm.
In 1715, the colossal painting was trimmed from all four sides, and the removed pieces were later lost.
Why do these portraits almost always fall short of being lively or authentic?
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.
Lawrence Lek’s AIDOL tells the story of an AI composer making music in a world rendered in video game graphics.
“Facebook wants you to think the problem is video-editing technology, but the real problem is Facebook’s refusal to stop the spread of disinformation,” said Drew Hammill, a spokesman for House Speaker Nancy Pelosi.
The image tagging system that went viral on social media was part of artist Trevor Paglen and AI researcher Kate Crawford’s attempts to publicize how prejudiced technology can be.