REFIK ANADOL [TK-US]
Space Dreams, Urban Dreams, Nature Dreams, 2020
5th International Digital Art Biennial
Arsenal Contemporary Art Montreal
11.19.2021 - 02.13.2022
Refik Anadol is a media artist and director born in Istanbul, Turkey in 1985. Currently lives and works in Los Angeles, California. He is a lecturer and visiting researcher in UCLA’s Department of Design Media Arts.
He is working in the fields of site-specific public art with parametric data sculpture approach and live audio/visual performance with immersive installation approach, particularly his works explore the space among digital and physical entities by creating a hybrid relationship between architecture and media arts with machine intelligence. [He holds a Master of Fine Arts degree from University of California, Los Angeles in Media Arts, master of fine arts degree from Istanbul Bilgi University in Visual Communication Design as well as bachelors of arts degree with summa cum laude in Photography and Video.]
nature dreams, 2020 - 4K videos
Space Dreams transforms a vast data set of 1.2 million images captured from the International Space Station (ISS), along with additional satellite images of Earth's topology, into a dynamic data painting. 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.