Inaugural Show

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Irene P Tello / Ikebana - Kai Chló
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Jake Elwes / CUSP
Jake Elwes / Dada da ta
Jake Elwes / Zizi - Queering the Dataset
Julia Kobel / Tragwerk 1
Julia Kobel / Tragwerk 2
Julia Kobel / Tragwerk 3
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Max Colson / London Knowledge - Around the Carpenter’s Estate, Stratford, London
Max Colson / London Knowledge - Oxford Street and Argyle Street, London
Max Colson / London Knowledge - Pimlico, London
Michael Pantuso / CHAMELEON mechanical integration
Michael Pantuso / FLAMINGO mechanical integration
Michael Pantuso / OCTOPUS mechanical integration
Moises Sanabria / Beyond Sculpture
Moises Sanabria / Beyond Sculpture II
Moises Sanabria / Beyond Sculpture III
Rachel Noble / Sensual Star
Rachel Noble / Sensual Super Star
Rachel Noble / The Feeling of Seeing a Waterfall
Snow Yunxue Fu / Conjoin Chapter 3
Snow Yunxue Fu / Karst 1
Snow Yunxue Fu / Karst 3
Sophie Rogers / Plasticity - 0102
Sophie Rogers / Plasticity Bundle - 01
Sophie Rogers / Plasticity Bundle - 02
Stepan Ryabchenko / Dedication to the spider. August 16, 2020
Stepan Ryabchenko / Entrance to the Exit
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Ultrabianka / SPRINGCORE 01
Ultrabianka / SPRINGCORE 02
Ultrabianka / SPRINGCORE UHD VIDEO
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Jake Elwes

CUSP
,
2019
Edition 3 (Edition of 5 + 2AP)
Presented by
Lumen Art Projects
ABOUT THE WORK

A familiar childhood location on the Essex marshes is reframed  by inserting images randomly generated by a neural network (GAN*) into this tidal landscape.

Initially trained on a photographic dataset, the machine proceeds to learn the embedded qualities of different marsh birds, in the process revealing forms that fluctuate between species, with unanticipated variations emerging without reference to human systems of classification.

Birds have been actively selected from among the images conceived by the neural network, and then combined into a single animation that migrates from  bird to bird, accompanied by a soundscape of artificially generated bird  song. The final work records these generated forms as they are projected,  using a portable perspex screen, across the mudflats in Landermere Creek. The  work both augments and disrupts the natural ecology of the location, as flocks of native birds enter a visual dialogue with these artificial ones.

*Neural networks are programming models which are biologically inspired and learn from observing data. GANs (generative adversarial networks) are neural networks which learn to mimic through generation and refinement.

Jake Elwes
Jake is an artist living and working in London. His recent works have looked at machine learning and artificial intelligence research, exploring the code, philosophy and ethics behind it. In his art Jake engages with both the history and tropes of fine art and the possibilities and consequences of digital technology. Jake Elwes was shortlisted for the Lumen Prize Moving Image Award in 2018.
Read Full Bio
Jake Elwes
is presented by
Lumen Art Projects
Video
Inquire ABOUT THE WORK
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other works by

Jake Elwes

Jake Elwes / Zizi - Queering the Dataset
Jake Elwes
Zizi - Queering the Dataset
,
2019
7 unique video works (w/ custom LED screen) + 3 multi-channel museum editions
Jake Elwes / Dada da ta
Jake Elwes
Dada da ta
,
2016
Edition 3 (Edition of 5+2AP)
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