A one-week workshop exploring Machine Learning and Computer Vision through small experiments.
"Speculative ideation" in Architecture encourages exploration through different mediums. The process intends to invigorate foundational skills and knowledge. It includes exercises drawn upon an analytical approach to materiality, composition, expression and form.
During this workshop I explored the possibility for a Generative Adversarial Network, trained on a case specific dataset, to contribute to this process in any meaningful way. The result shows that the model is capable of generating some interesting sketches on form, composition and expression.
To me, this workshop ended up being evidence on how AI technologies might be used as a creative tool. Architects could draw insight and inspiration from the sometimes-unexpected outcome of a machine.