Fluid Structure is an immersive interactive installation which explores how an ephemeral and amorphous shape reacts under various stimuli, internal and external. Forces and collisions bend the shape until it breaks, recombining it into new aggregates. The result is an ever changing landscape, mysterious yet familiar. A dramatic data-like visualization emphasizes the internal structure of the shape and its motion. Using computer vision the audience is made an integral part of the process, leaving its temporary physical mark, always bound to eventually to disappear. The system is driven by a state of the art fluid solver able to process in real time the forces and constraints the shape is subjected to.

An overview of the Augmented Reality features of the DeepMind12, footage is filmed directly through Microsoft Hololens! 

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.