Special Subject: Building Technology — Machine Learning for Creative Design

Permission of instructor

This research seminar focuses on applications of machine learning for creative design generation and data-informed design exploration, with an emphasis on visual and 3d generative systems. Throughout the semester, we will explore how recent advances in artificial intelligence, and specifically machine learning, can offer humans more natural, performance-driven design processes.

The class covers a wide range of machine learning algorithms and their application to design, with topics including neural networks, generative adversarial networks, variational auto-encoders, dimensionality reduction, and other recently developed machine learning techniques.

Students will complete an open-ended applied research or design project demonstrating an original, creative use of machine learning for design, architecture, engineering, or art

Qualified undergraduates may register with permission of instructor (contact Renaud Danhaive).