Transcending the Invisible artist Lily Hassoiti, recently showcased her thought-provoking work “Descending the Gradient” at Goldsmiths University’s MA/MFA Computational Arts Degree Show in September.
Hassoiti’s project is an algorithm for walking. “Descending the Gradient“, transforms the computer algorithm ‘Gradient Descent’—used to find the lowest point in mathematical spaces—into a physical walking experience. By applying this algorithm to walking downhill, the project explores how maps and algorithms influence movement and how they can record individual choices and motions rather than just directing them.
The directions are available online for participants to walk down hills following the steepest possible path, mirroring the optimisation process used in machine learning. As participants engage with the work, their movements are traced and rendered into downloadable videos, creating a unique descents.This approach raises intriguing questions about the influence of technology and mobile tracking on human movement and decision-making in an increasingly digital world.
Hassoiti’s work translates complex computational concepts into engaging, interactive experiences that provoke thought and discussion about our relationship with technology. The Transcending the Invisible project team is excited to see the work that develops from her residency with our scientists.
Head to the project website to find out more and to map your own walk!
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