Machine Learning for Artists

A workshop I gave at Tecnológico de Monterrey

1 March 2016

Topics

  • Computational Creativity
  • AI

As a part of the call for experimentation in education innovation: NOVUS 2015, I received funding for giving a course of three modules about Machine Learning applied to digital arts. We explored the philosophical implications of AI in art, and the technical aspects for applying Machine Learning in Music and Interactive Art. The funding was used for buying various interfaces (Myo, Leap Motion, Kinect and Arduino) and Emotiv EEG sensors. Coursework materials can be found here.


by:
Santiago Rentería

http://renterialab.com
Computer scientist and audio engineer working at the intersection of machine listening and acoustic ecology.
Interests: sound art, media archaeology and process philosophy.