The Internet of Enlightened Things is a collection of projects that explore the implications and opportunities of sharing our lives—willingly or not—with ever more “intelligent” objects and systems.
Tutorials by artists for artists—and, of course, for anyone else interested in this field. How hard is it to work with machine learning software, and what creative possibilities do these skills open up? Experienced users present projects that illustrate what you need to know.
A deep neural network opening its eyes for the first time, and trying to understand what it sees. Learning to See is an ongoing series of works that use state-of-the-art machine-learning algorithms as a means of reflecting on ourselves and how we make sense of the world.
Gene Kogan will introduce the field of machine learning and its existing and speculative implications to new media and art in general. He will discuss applications of neural networks and associated algorithms to producing images, sounds, and texts, showing examples of contemporary works using these abilities. Gene Kogan will also present two of his own works intersecting machine learning and generative art.
The media artist Refik Anadol employs machine-learning algorithms. For his immersive media installation Archive Dreaming he searched and sorted relations among 1,700,000 documents. Refik Anadol will focus his tour on AI based artworks. Join the experience to get in touch with a great artist who displays two installations at this year’s Ars Electronica Festival.
