Universal Everything  ⁄  Machine Learning

2018
3 channel HD video
Stereo sound
3m 41s

Machine Learning builds on the studio’s past experiments with motion studies, and asks: when will machines achieve human agility? Set in a spacious, well-worn dance studio, a dancer teaches a series of robots how to move. As the robots’ abilities develop from shaky mimicry to composed mastery, a physical dialogue emerges between man and machine – mimicking, balancing, challenging, competing, outmanoeuvring.

Can the robot keep up with the dancer? At what point does the robot outperform the dancer? Would a robot ever perform just for pleasure? Does giving a machine a name give it a soul?

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These human-machine interactions from Universal Everything are inspired by the Hype Cycle trend graphs produced by Gartner Research, a valiant attempt to predict future expectations and disillusionments as new technologies come to market.

Editions

Edition of 6 with 2 artist proofs

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