Commissioned to work with SALT Research collections, artist Refik Anadol employed machine learning algorithms to search and sort relations among 1,700,000 documents. Interactions of the multidimensional data found in the archives are, in turn, translated into an immersive media installation. Archive Dreaming, which is presented as part of The Uses of Art: Final Exhibition with the support of the Culture Programme of the European Union, is user-driven; however, when idle, the installation “dreams” of unexpected correlations among documents. The resulting high-dimensional data and interactions are translated into an architectural immersive space.

Shortly after receiving the commission, Anadol was a resident artist for Google’s Artists and Machine Intelligence Program where he closely collaborated with Mike Tyka and explored cutting-edge developments in the field of machine intelligence in an environment that brings together artists and engineers. Developed during this residency, his intervention Archive Dreaming transforms the gallery space on floor -1 at SALT Galata into an all-encompassing environment that intertwines history with the contemporary, and challenges immutable concepts of the archive, while destabilizing archive-related questions with machine learning algorithms.

In this project, a temporary immersive architectural space is created as a canvas with light and data applied as materials. This radical effort to deconstruct the framework of an illusory space will transgress the normal boundaries of the viewing experience of a library and the conventional flat cinema projection screen, into a three dimensional kinetic and architectonic space of an archive visualized with machine learning algorithms. By training a neural network with images of 1,700,000 documents at SALT Research the main idea is to create an immersive installation with architectural intelligence to reframe memory, history and culture in museum perception for 21st century through the lens of machine intelligence.

“In 2016, during my artist residency at Google’s Artists and Machine Intelligence (AMI) program, I coined the term ‘AI Data Painting’ as a way to encapsulate a groundbreaking exploration into the creative capacities of artificial intelligence. This concept was born from a profound curiosity: if a machine can learn, can it also dream? Can it hallucinate? These questions propelled my artistic inquiry, leading to the development of visual works that transcend traditional art forms. By harnessing vast datasets and AI algorithms, I sought to visualize the dreams of machines, creating ethereal landscapes that blur the line between the digital and the physical. AI Data Painting thus represents not just a new technique, but a philosophical pondering on the evolving relationship between human creativity and machine intelligence, inviting viewers to contemplate the potential for AI to not only mimic reality but to imagine beyond it.”