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.
This isn’t a crash course in AI development, but it is a great chance to get prepared to actually work with machine learning.
Friday, September 08.
| 12–1:30 PM | Angelo Semeraro (IT), Fabrica, Recognition |
| 2–3:30 PM | David Bowen (US), flyAI |
| 4–5:30 PM | Refik Anadol (TR), , Michael Tyka (UK), Archive Dreaming | Wind of Linz |
Saturday, September 09.
| 12–1:30 PM | Derek Curry (US), Jennifer Gradecki (US), Crowd-Sourced Intelligence Agency (CSIA) |
| 2–3:30 PM | Mario Klingemann (DE), X Degrees of Separation |
| 4—4:30 PM | Jake Elwes (UK): Latent Space | Closed Loop | Machine Learning Porn |
Sunday, September 10.
| 12–1:30 PM | Xin Liu (CN), Team Zo (US), Zo: Tangible AI |
| 2–3:30 PM | Gene Kogan (US), Selection of real-time neural-image transformations |
| 4–5:30 PM | Anna Ridler (UK), Fall of the House of Usher |
