“Collective memories, archives, light, architecture, generative AI algorithms, software, hardware, code, sound, and, more recently, scent.”
— Refik Anadol, asked what he considers the materials of his art · MoMA Magazine, December 2022
I am trying to find ways to connect memories with the future, and to make the invisible visible.
— MoMA, “Unsupervised”, 2022
Anadol trained a sophisticated machine-learning model to interpret the publicly available data of MoMA's collection. As the model 'walks' through its conception of this vast range of works, it reimagines the history of modern art and dreams about what might have been—and what might be to come.
Curatorial text, MoMAHe works with the material nobody thinks of as material: archives, weather records, a museum's own catalogue. The machine is not the subject and not the author — it is the instrument through which a collective memory becomes something you can stand in front of.
We imagine a future where a symbiotic relationship with machines will give us new insights, knowledge, and the power to not only challenge but change existing systems.
MoMA Magazine, December 2022My work as a generative artist draws inspiration from the legacies of abstraction, systems art, Surrealism, and Expressionism.
MoMA Magazine, December 2022I completed my second master's degree at UCLA under the mentorship of Casey Reas, Christian Moeller, and Jennifer Steinkamp.
MoMA Magazine, December 2022Alfred watches the floor, sales and new listings across Refik Anadol's collections — and tells you when something changes.
Track Refik Anadol in Alfred