In this 2-day lab session leb by Gene Kogan & Andreas Refsgaard participants will learn how to use neural networks to create real-time, cross-modal interactions for use in video, installation, live music performance, art and design. Bring your laptop and ML projects/concept/idea and use the weekend to learn, tinker, jam, develop and experiment with neural networks in an inspiring setting full of awesome people, data and tools.
The workshop will serve as a hands on introduction to machine learning with a focus on creating your own artistic and interactive applications. Participants will learn how to use neural networks to create real-time, cross-modal interactions for use in video, installation, live music performance and interaction design. Whether it’s mapping your speech patterns into video glitch effects, or converting body gestures into chord changes in electronic music, everyone will find an effect that interests them.
Apart from the tools made available by Gene & Andreas, CCU also provides interested participants with data sets. We’ve got various data sets made available by Het Utrechts Archief to train your algorithm with.
Requirements for the participants
About Gene & Andreas
Gene Kogan is an artist and a programmer who is interested in generative systems, computer science, and software for creativity and self-expression.Gene initiated ml4a, a free book about machine learning for artists, activists, and citizen scientists, and regularly publishes video lectures, writings, and tutorials to facilitate a greater public understanding of the subject.
Andreas Refsgaard is an interaction designer, artist and teacher from Denmark. He graduated from CIID in 2015 and started creative coding studio Støj with Lasse Korsgaard in 2017. Recently Andreas has been exploring creative applications of machine learning and spent a lot of time teaching other designers how to use machine learning for real-time interactive projects at places like CIID (DK), Hyper Island (SE), The Bartlett (UK), V2 (NL), Resonate (RS) and KIKK (BE).
Links https://ml4a.github.io/index/ http://genekogan.com http://andreasrefsgaard.dk
This workshop is made possible with the support of Stimuleringsfonds Creatieve Industrie, Sensor Lab Lemonaid/ChariTea and De keuken van Thijs