As Gems As Metals: Face 002

As Gems as Metals: FACE 002 by Louis Braddock Clarke uses mining-industry machine learning to prospect geological scans for rare earth elements.

Outline

By applying mining-industry machine learning algorithms to geological thin-section scans, FACE 002 asks how technologies developed for resource extraction shape perception and knowledge production. The work explores the tension between economic extraction and more subjective forms of interpretation, examining how machine vision can reveal both measurable resources and ambiguous, symbolic geoglyphs. The algorithm is developed in partnership with TU Delft.

Credits

Louis Braddock Clarke
Arran Lyon
Teun Verkerk
Michael van der Meer
Yannik Guldner
Feven Destra
Tobias Schmiedel
Karin Oostdijk
Jan van Tongeren
Rob van den Berg
Joeri Brackenhoff

Delft University of Technology

Website

https://louisbraddockclarke.com/work/as-gems-in-metal-f2/

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