![[OLD FALL 2019] 15-104 • Introduction to Computing for Creative Practice](https://courses.ideate.cmu.edu/15-104/f2019/wp-content/uploads/2020/08/stop-banner.png)
Architecture & Style is a project by Stanislas Chaillou that makes use of machine learning algorithms to explore the possibilities of generative design in the creation of architectural floor plans. Chaillou created a generation methodology for the plans using Generative Adversarial Neural Networks (GANs) that would learn from various precedents and then be able to compose adaptive floor plans based on different styles. The project shows clear artistic sensibilities as the program is learning from established architectural styles such as Baroque, Row House, Victorian Suburban House, & Manhattan Unit in order to then generate its own designs influenced by these styles. I found the project to be very interesting as it demonstrates how architectural practice can make use of new advancements in artificial intelligence.
