Machine Learning: Architecture

Machine Learning: Architecture explores the intersection of computational design and built environments. This curated collection by various authors examines how machine learning algorithms inform architectural practice, from generative design and spatial optimization to predictive modeling and smart building systems. Essential reading for architects seeking to understand AI's transformative role in contemporary design methodology and digital fabrication. Ideal for professionals and students navigating the evolving landscape of technology-driven architecture.