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CIFAR 11

UV-Print on deckle-edge Abacápaper | 43 * 50 cm | 2019
installationview | 2019
CIFAR | Spoiler
void recognition | 2019
photo © Spoiler

For training a deep convolutional generative adversarial neural network, DCGAN, a database of images of me eating bananas, was compiled. The network learned to recognize these images and to generate more artificially.

From fibers of Abacá banana plants and the peels and remains of the eaten bananas I then made paper on which I printed the generated portraits and collages of different various 3D-scanned objects, such as the bucket in which the fibers were cooked, or the banana plants featured in my videos shuffle and fluid leaves.

I follow the urge of feeding into the digital. The urge to be digested by a binary metabolism, to dissolve in the virtual mush, the pulp.

ursula klg | Spoiler
void recognition | 2019
photo © Spoiler
leave | 2019