Tools and theory at the intersection of machine learning and interaction design. Add a touch of data-driven intelligence to your prototypes and designs.

Workshop Dates: July 24 – 28, 2017

Keywords: 
Machine Learning, Artificial intelligence, Interactivity, Interaction Design, Prototyping, Digital Art, Neural Networks

Description:
A hands on introduction to machine learning with a focus on creating your own artistic and interactive applications.

Learning expectations:
Participants will learn how to use neural networks to create real-time, cross-modal interactions for use in video, installation, live music performance, and physical computing
Participants will also be provided with a suite of tools and code for clustering, visualizing, and searching through large collections of multimedia.

Prerequisites:
Prior coding experience in a text-based or patch-based programming environment--especially in creative coding frameworks like Processing and OpenFrameworks, or in Python, or Javascript--would be helpful, but is not necessary to get the most out of the class.

Faculty
Andreas Refsgaard
Gene Kogan