For graduate students only
We are currently experiencing a rise in machine learning-driven software, both commercially and in artistic explorations. The trends will allow us the development of new interaction technologies forming a rich space of design possibilities.
In this course, students will learn fundamental machine learning techniques that can be used to make sense of streaming video, human gesture, musical audio, and other forms of real-time data.
The focus will be on learning about the design of interactive machine learning software using Max/MSP with a strong emphasis on visual design, and best practices that can be employed in creating new real-time interactive software in the arts
This course focuses on the preplanning, development, creation, and execution of a all elements (e.g., models, audio, lighting, etc) of a virtual environment for the SteamVR (HTC Vive) platform.
Prerequisite: None (though prior knowledge of Unity/Coding/Blender/Audition is fine - we will, however, start with the basics)