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When viewing the work of the US artist and tool developer Joel Simon, you might find that his images are unlike anything you’ve ever seen before – which makes sense, as they weren’t quite born of nature or a human mind. Inspired by the biological properties of evolution and emergence, Simon uses simple programming rules, which, when applied over and over, give rise to uncanny images that augment the human imagination. His most recent work, explored in this video from Science Friday, applies a machine-learning framework known as a generative adversarial network (GAN) to two images. Guided by human users via Simon’s website Artbreeder, his programs ‘crossbreed’ pictures of everything from animals to artworks. Fascinating digital artefacts in their own right, the resulting, author-less images raise complex questions at the nexus of art, programming and design.
Video by Science Friday
Producer: Luke Groskin
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Animals and humans
One man’s quest to save an orphaned squirrel, as narrated by David Attenborough
14 minutes
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Biology
Butterflies become unrecognisable landscapes when viewed under electron microscopes
4 minutes
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Art
Background music was the radical invention of a trailblazing composer
17 minutes
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Biology
‘Save the parasites’ may not be a popular rallying cry – but it could be a vital one
11 minutes
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Evolution
The many ways a lizard tongue sticks, grasps, pinches and plops – in slo-mo
6 minutes
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Biology
Starlings swoosh like brushstrokes across the sky in this dazzling short
3 minutes
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Ecology and environmental sciences
The tree frog die-off that sparked a global mystery – and revealed a dark truth
15 minutes
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Beauty and aesthetics
In art, the sublime is a feedback loop, evolving with whatever’s next to threaten us
9 minutes
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Beauty and aesthetics
Can you see music in this painting? How synaesthesia fuelled Kandinsky’s art
10 minutes