Towards Hallucinating Machines – Designing with Computational Vision
Matias del Campo, Sandra Manninger, Alexandra Carlson
Artificial Intelligence, Design Agency, Neural Networks, Machine Learning, Machine Vision
How many thousand images does it take an architect to learn what Gothic is, or Baroque or Modern? How many more to differentiate between good and bad architectural solutions? This article strives to de-mystify the nature of design choice in architecture by interrogating the underlying processes of Neural Networks and thus the extent of their ability to inform architectural design. The presented approach strives to explore the design problem not only through the lens of expediency but also by considering the cultural transformation that comes along with the possibilities of a technology that profoundly asks about the nature of agency in a posthuman environment.