Machine Learning for Interaction Design

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: August 21 – 25, 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