Archive Dreaming, Istanbul

Designed by: Refik Anadol
For client: SALT Research Floor area: 36.00 M² Year of completion: 2017
Nominated for: Best Use of Digital Technology

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© Refik Anadol

Archive Dreaming explores data and machine learning, letting you examine 1.7 million documents, their information and connections, but when idle it visualizes ‘dreams’ of documents with neural networks within an architectural immersive environment.

About the Project

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.

What’s unique about it

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 3D 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 the 21st century through the lens of machine intelligence.

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© Refik Anadol
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© Refik Anadol
Room Architectural Drawing
© Refik Anadol
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© Refik Anadol
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© Refik Anadol
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© Refik Anadol
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© Refik Anadol

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 3D kinetic and architectonic space of an archive visualized with machine-learning algorithms.

Location of project:
Credits:

Google Artist and Machine Intelligence Programme

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