Refik Anadol

Machine Hallucination
Refik Anadol’s most recent synesthetic reality experiments deeply engage with these centuries-old questions and attempt at revealing new connections between visual narrative, archival instinct and collective consciousness. The project focuses on latent cinematic experiences derived from representations of urban memories as they are re-imagined by machine intelligence. For Artechouse’s New York location, Anadol presents a data universe of New York City in 1025 latent dimensions that he creates by deploying machine learning algorithms on over 100 million photographic memories of New York City found publicly in social networks. Machine Hallucination thus generates a novel form of synesthetic storytelling through its multilayered manipulation of a vast visual archive beyond the conventional limits of the camera and the existing cinematographic techniques. The resulting artwork is a 30-minute experimental cinema, presented in 16K resolution, that visualizes the story of New York through the city’s collective memories that constitute its deeply-hidden consciousness.

FIELD

System Aesthetics
The works in this series are part of an extensive research project by FIELD, exploring the most relevant machine learning algorithms in code-based illustrations […] We have started a deeper exploration of the less accessible information that is out there, such as scientific papers and open source code publications, to develop an understanding of these algorithms’ inner workings, and translate it into visual metaphors that can contribute to a public debate.