GMU:Hallucinating computers and dreaming non-machines/Lina Louise Wolff

Background information

We use the research we did for our last project as inspiration and information to create multiple layers, which communicate the gaps which lead to inequality and a lack of knowledge when it comes to female health.

Idea/Concept

Analoge reconstructing Google DeepDream .

The Image AI Creator DeepDream from google uses multiple layers to create a surreal image. With every layer the image gets more obvious.

If the response is not clear enough for the machine, it learns to ''hallucinate '' different parts of the image so to say interprets them.

In an instellation we want to recreate this machine learning technique by creating a surreal painting, which shows a Utopia, in which the gender data gap does not exist, or there are no inequalities between gender.

Additional there will be a sound design inspired by the sound artist Ryoki Ikeda, who uses errors in hard drives to create sound effects. In theory light should react to the sound. To visualize missing data the light will glitch, as well as the sound.

Tech implementation

Installation exsisting of multiple layers with different textures

Glass, maybe latex, projections..

We might use the visuals which we are currently creating in the class ‘‘macro worlds‘‘

References

Artists:

Ryoji Ikeda-> sound artist

Kristen Jakubek