Each version of the machine’s dream sequences is derived from a different generative adversarial network (GAN) latent walk, exploring artificial intelligence’s capacity to reach its own subconscious and offering an avant-garde form of cartographic aesthetics.  In Urban Dreams, Anadol offers new insights into the representational possibilities emerging from the intersection of advanced technology, urban memory, and contemporary art. The work uses over 100 million images from the cities of New York and Berlin, focusing specifically on typical public spaces.

The content is used to train a Style GAN2 to identify and learn patterns hidden in urban scenery, showcasing how the elusive process of memory retrieval transforms into data collections. Nature Dreams is a series of synesthetic reality experiments based on Style GAN 2 algorithms, utilizing over 69 million images of National Parks, Iceland, and other natural wonders to train a generative model for the machine to dream about the most mesmerizing features of our Mother Nature. This transformation of the data collection becomes not just a means of visualizing information, but also a transmutation of our desire for experiencing nature into a poetic visual.