Mario Klingemann is an artist working with algorithms and data. His long-term goal is to make himself redundant by programming and training intelligent machines that are able to create art autonomously. In order to reach that goal he investigates the possibilities that machine learning and artificial intelligence offer in understanding how creativity, culture and their perception work. An important part of this investigation is his work with digital cultural archives like the British Library’s, the Internet Archive’s or the collection of the Google Cultural Institute where he currently is artist in residence.
He is a regular speaker on international art, design and media conferences, winner of the 2015 creative award of the British Library and his works have been shown at the Residenzschloß Dresden, the Centre Pompidou, Paris and the MoMA, New York.
A Journey into Artificial Creativity
Chess, Go, Poker, Doom, Breakout, Space Invaders - the list of games where machines have already become better players than us grows every month. This might make you wonder when they will beat us at the one game where we still consider ourselves unique: creativity.
In this talk Mario will introduce you to some of the latest research in deep learning, in particular in the field of image analysis and generative art. He will show examples how he uses neural networks and open data to augment and extend his own creativity.