Using AI to analyze and interpret large data sets - Charles Waldheim

Charles Waldheim, John E. Irving Professor of Landscape Architecture (GSD), uses AI in landscape architecture education to interpret thousands of images. This project, which trained machines to capture the architectural essence of the city, allowed students across various design disciplines to explore and create future urban strategies. It's a great example of how AI can be used to analyze and interpret large data sets, providing a new perspective in fields such as art history, urban planning, and design.