Ars Electronica Festival · 2017

Blade Runner—Autoencoded

by Terence Broad

🏆 Honorary Mention · Prix Ars Electronica 2017

Terence Broad's “Blade Runner—Autoencoded” was honoured with a Honorary Mention at the Prix Ars Electronica 2017, category Computer Animation.

*Blade Runner—Autoencoded* is a film made by training an autoencoder—a type of generative neural network—to recreate frames from the 1982 film *Blade Runner*. The Autoencoder learns to model images by trying to copy them through a very narrow information bottleneck, being optimized to create images that are as similar…

— Prix Ars Electronica Archive

About Terence Broad

Terence Broad (UK) is an artist and machine learning researcher based in London. He works at the forefront of technological developments in machine learning, exploring both the perceptual capabilities and limitations of these techniques.

Programme information from Prix Ars Electronica Archive. Short excerpt quoted for reference; see the original page for full text, images and credits.

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