Rebecca Najdowski is an artist who considers how humans, imaging technology, and more-than-human nature are entangled.

✳︎ New Book: Ambient Pressure

/// Select Exhibitions ///
Inverted Landscapes
Interference Pattern

/// Recent Projects ///
Deep Learning the Climate Emergency
Ambient Pressure

/// Curation ///
The Image Looks Back
To the Moon and Back
A Field Guide to the Stars


Deep Learning the Climate Emergency

2022 | GAN-generated moving image with audio, 07:35
Deep Learning the Climate Emergency, screened on the digital facade of Federation Square, Melbourne, Australia
Deep Learning the Climate Emergency uses photography and machine learning to (re)generate the aesthetic patterning of ecological collapse. For this work, I was interested to see if familiar images of the climate emergency, ones that have perhaps lost their potency through repetition, could be reconfigured into a new affective experience. The moving image artwork was made with generative adversarial networks (GANs) trained on image-based datasets depicting the effects of a heating planet: wildfire, bleached coral, drought, melting glaciers, and suns through smoke-filled skies. Refracted through the prism of machine learning, the video is a rendering of the shapes and textures of the climate emergency.

Deep Learning the Climate Emergency, video preview