The Machine Learning Group involves careers that create and improve models that learn from data. They turn research models into practical tools, making sure they are efficient and can handle large amounts of data. Their work involves a lot of programming, tuning models, and setting up systems for training and deploying these models. In architecture, machine learning is used to optimize building designs by predicting structural performance, energy efficiency, and material usage based on vast amounts of design and environmental data.

Interested in participating in this curriculum? You can join one of the following groups:

Cooper Carragher-Haim, HS Jr.