AI Creates Generative Floor Plans and Styles with Machine Learning at Harvard

    <img src="https://images.adsttc.com/media/images/5cf6/a4f1/284d/d15e/a900/02c1/original/gif_8.gif?1559667947">

Designer and Fulbright fellow Stanislas Chaillou has created a project at Harvard utilizing machine learning to explore the future of generative design, bias and architectural style. While studying AI and its potential integration into architectural practice, Chaillou built an entire generation methodology using Generative Adversarial Neural Networks (GANs). Chaillou’s project investigates the future of AI through architectural style learning, and his work illustrates the profound impact of style on the composition of floor plans.

    <a href="https://www.archdaily.com/918471/ai-creates-generative-floor-plans-and-styles-with-machine-learning-at-harvard">Read more »</a>
  <img src="http://feeds.feedburner.com/~r/ArchDaily/~4/Xxseu4MjG-c" height="1" width="1" alt=""/>