F. A. C, A. D. E.

Future Architecture for Cities, using Artificial intelligence to Detect Environments

This project speculates the implications of Machine Learning and Artificial Intelligence in the City.

How do we 'read' the street? How does this fundamentally differ from how computers process information? What are the architectural implications of this technology?

This project’s overarching exploration focuses on the boundary between the digital and physical world.

It has shown that architects must design with machine reading in mind and machine reading needs to have a larger data set for urban environments

These experiments test the boundaries of Image Detection by combining hand drawings of typical street scenes with coding.