Archive Dreaming

Title of ArtworkArchive Dreaming
Year of Origin2017
    6 Meters Wide Circular Architectural Installation
    4 Channel Video 8 Channel Audio Custom Software Media Server Table for UI Interaction
Collaboration/Shared Production/Research
    SALT Research Vasıf Kortun Meriç Öner Cem Yıldız Adem Ayaz Merve Elveren Sani Karamustafa Ari Algosyan Dilge Eraslan — Google AMI Mike Tyka Kenric McDowell Andrea Held Jac de Haan — Refik Anadol Studio Raman K. Mustafa Toby Heinemann Nick Boss Kian Khiaban Ho Man Leung Sebastian Neitsch David Gann Kerim Karaoglu
Medium/Type of Artwork
Light Source
Light-Optical Factors
History of a work
2018ExhibitionsWashingtonSEGD Honor Award 2018; Best of Show Award 2018Link
2017LinzArs Electronica FestivalLink
2017ExhibitionsIstanbulSALT GALATALink
2017Development / productionLos AngelesWork on the artist sideLink
2017Development / productionCollaberationMike TykaLink

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.

SALT is grateful to Google’s Artists and Machine Intelligence program, and Doğuş Technology, ŠKODA, Volkswagen Doğuş Finansman for supporting Archive Dreaming. 7.12.2018

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