LATENCY VIBES

"In artificial intelligence ‘Latent Space’ refers to a mathematical space which maps what a neural network has learnt from training images. Once it has been trained it understands all images of trees as existing in a specific area, and all images of birds in another.

The neural network can be reverse engineered to create fake images from these coordinates*. But what if it was given a new path to travel between these recognisable points, instead moving through the in-between space?

Latent Space is a video snap-shot of an A.I. algorithm in its infancy trained using 14.2 million photographs** continuously producing new images.

For this iteration, a new soundscape by The Analog Girl was commissioned in partnership with MSCTY x Sculpture in the City.

Special thanks to Anh Nguyen et al. at Evolving-AI for their research."

– Jake Elwes

* Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space [2016]

** ImageNet: A Large-Scale Hierarchical Image Database [2009]

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