Sam Lubicz is a Los Angeles-born artist and illustrator based in Berlin. His collages investigate not-so-distant dystopian futures with a curious pessimism. Continue reading »
Visual artists are always looking for new forms and adapting the tools created by technological progress for artistic purposes. Generative algorithms, which existed long before computing devices, received a huge development with computers. Continue reading »
Artist Used A.I. To See How Good It Would Be At Guessing What These Celebrities Looked Like As Teenagers
According to Hidreley Diao: “Believe it or not, every Hollywood celebrity we know was once a teenager! All jokes aside I decided to test out artificial intelligence. How well would it guess what celebrities looked like when they were teenagers? Since most of these well-known people already have teenage pictures, we have something with which to compare the A.I.-generated results. Continue reading »
Claudia Fuggetti’s research sees the creation of images as the endpoint of a visual investigation balanced between the real and the unreal, intending to propose new reading keys to interpreting the contemporary. Continue reading »
Cartoons and anime have been and are a big part of a lot of people’s lives. They offer us grand adventures, fun, and exciting plotlines and storylines, unique, driven, and lovable characters. But have you ever wondered what the characters we all know and love would look like if they were realistic? Continue reading »
#FleshEmoji: Enthusiasts Fed Emojis Into a Neural Net and Made Them Human, Creepy Results Will Be Sold as NFTs
#FleshEmoji is the inaugural NFT project from the art collective ArtEveryDay. Each artwork is based on the Unicode emoji faces, with each one being fed through a neural network trained on human faces. Continue reading »
Face Depixelizer Neural Network “Brings Back The Sharpness” Of Photos In Low Resolution, And The Results Are Very Unexpected
A new digital tool built to depixelize photos sounds scary and bad. Another way to remove privacy from the world. But this tool is also being used for a sillier and not terrible purpose: Depixelizng old game characters. The results are…nevermind, this is also a terrible use of this tool. Continue reading »
At some point, we’ve all wondered about the incredibly strange names for paint colors. Research scientist and neural network goofball Janelle Shane took the wondering a step further. Shane decided to train a neural network to generate new paint colors, complete with appropriate names. The results are possibly the greatest work of artificial intelligence I’ve seen to date.
Writes Shane on her Tumblr, “For this experiment, I gave the neural network a list of about 7,700 Sherwin-Williams paint colors along with their RGB values. (RGB = red, green, and blue color values.) Could the neural network learn to invent new paint colors and give them attractive names?”
By the first checkpoint, the neural network has learned to produce valid RGB values – these are colors, all right, and you could technically paint your walls with them. It’s a little farther behind the curve on the names, although it does seem to be attempting a combination of the colors brown, blue, and gray.
By the second checkpoint, the neural network can properly spell green and gray. It doesn’t seem to actually know what color they are, however. Continue reading »