We developed a generative adversarial networks (GANs), a machine-learning technique that can be used as an urban design tool capable of learning and reproducing complex patterns that express the unique spatial qualities of non-planned settlements.
We created a design chatbot that is able to maintain meaningful conversations using natural language about design and create corresponding design briefs.
We develop a VR narrative generator that can extract meaningful histories from historic documents and produce an immersive educational experience.
