If we were to think of Artificial Intelligence as a pure creative mind, knowing only the natural world, what type of environment would it design? 

 

This project explores where Artificial Intelligence can exist within the relationship between nature and artificial in an attempt to discover how we can better understand our surroundings. This is researched using the results of a Cycle-Consistent Generative Adversarial Network (CycleGAN) trained on a 4,000+ image database of elements found in nature and architectural spaces.