Keyword: Machine Learning

Resources

All we’d ever need is one another / Adam Basanta

„The installation self-generates images using two flatbed scanners laying on their side, with scanning surfaces pointing at one another. A computer script creates automatic mouse movements, randomizing the settings of the proprietary scanning software interface, and beginning a scanning process.

Each newly created image is then analyzed by a series of deep-learning algorithms trained on a database of contemporary artworks in economic and institutional circulation. When an image matches an existing artwork beyond an 83% match, it uploads it to this website and a twitter account.“

http://allwedeverneed.com

Accumulative Collaboration / Selwa Sweidan, Christine Meinders

“Accumulative Collaboration” is both experimental and site-specific research in which we investigate “embodied knowing” alongside “machine knowing”.

In “Accumulative Collaboration”, we are collaborating with an open-source, neural network (a form of artificial intelligence) to facilitate human to human connections and embodied knowing. Participants are asked to improvise gestures with their hands in front of a computer to train a neural network, which learns the movements.

The hands train the neural network and a duet between machine and human ensues.

http://www.homela.org/process-record/2017/8/24/selwa-sweidan-christine-meinders
https://vimeo.com/233141225