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HOW TO PUT AN ELEPHANT INTO THE FRIDGE is a 4-channel video installation built in a silicone white cube. The audience can spy inside through the 4 peepholes on the 4 facets of the object and see 3d animated avatars living in a virtual “white cube”.  Trained by using deep learning with the motion data of real human, they replicate my appearance and habitual postures, explore the space autonomously, while data’s being presented to the material world as a spectacle. 
2019 ongoing
#Artificial Intelligence #Mixed Reality #Animation #Video Installation

Background

“How do we put an elephant into the fridge?”
Like we’ve always been told, the most well-known answer of this typical 60’s style joke is: open the fridge -> put in the elephant -> close the door. However, due to the high cost, low efficiency and potential animal abuse, the goal is not that easy to be achieved. To figure out this century-old problem, Korean people have made an Uncyclopedia of various solutions with the methods of mathematics, physics, sociology, philosophy and, of course, art. In this instruction manual the elephant has been divided, differentiated, deconstructed, disassembled, reassembled and in the end fit into the narrow space. 

Although we still can’t really get the elephant into the fridge with these inspirations, but at least with / without the help of modern technology, we can put an artist into the small white cube. In this cube, Zoe and Bios would meet each other, more questions about algorithmic social structure, institution, spacial interface and biopolitics would be examined.

Related Work

ELEVENPLAY, Rhizomatiks Research, Kyle McDonald. “discrete figures”:
https://research.rhizomatiks.com/s/works/discrete_figures/en/
Luka Crnkovic-Friis, Louise Crnkovic-Friis. “A brand new dance partner: Teaching AI to dance”:
https://peltarion.com/case-stories/teaching-ai-to-dance


Reading List

Giorgio Agamben, Homo Sacer. Trans. Daniel Heller-Roazen. Stanford: Stanford University Press, 1998.
Giorgio Agamben, The Open: Man and Animal. Trans. Kevin Attell. Stanford: Stanford University Press, 2004.


References

Kyle McDonald. “Dance x Machine Learning: First Steps - Creating new datasets and exploring new algorithms in the context of the dance performance ‘discrete figures’”. 
https://medium.com/@kcimc/discrete-figures-7d9e9c275c47
Luka Crnkovic-Friis, Louise Crnkovic-Friis. “Generative Choreography using Deep Learning”. 
https://peltarion.com/case-stories/teaching-ai-to-dance
Ruth Yeoman. “Can Artificial Intelligence Give Our Lives Meaning?”. iai news, Issue 69, 26th June 2018.
https://iai.tv/articles/can-ai-generate-meaning-in-our-lives-auid-1101

©2019 YUE WANG 
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