Generative Machine Learing for Architecture

We held our final review for a new course, Generative Machine Learning for Architecture (co-instructor Ben Aranda). This was a new experiment at Cooper where we embedded a small group of engineering students into the architecture studio. Although the semester was quite disrupted by COVID-19, we are still really impressed with the output of this course.

For example, Juan Cardona did some striking images imagining new textures in a new landscape:

Other groups created websites, for example, this project explore urban landscapes, and this one re-imagines Manhattan using machine learning.

To see all the work, have a look at the archives at the Cooper Union Architecture End of Year Show, and for continuing updates, follow us on Instagram