Georg Eckmayr
OVERVIEW ︎︎︎
ARTWORK ++
Catalog of works ︎︎︎
Tangible Data ︎︎︎
Networked Sculptures
Machine Languages︎︎︎
Digital Experimental
- latent_me
- interframe allegations
- Is it Me or a
Misunderstanding? - UNTITLED ME
- a generic landscape
- HOMEOSTASIS
- they are mine!
- THE BUG
- Geometrie der Dauer, timebased bodies
Projects, Installations, Films, Sculpture, …
- THE QUANTS
- Untitled Space
- The Abilitiy to Perceive (No Man’s Land)
- RESCUE
- Open Water
- Maschinenpfade
- Boat Trip without Passengers
- Relics from the Internet
- Estimated net-worth, over
- Human / Material
- #Super User
- Iconic Landscapes
- Impressions
- white cube 3000 watt
- Blacken my digital CV
- Don´t be modest
- Desire Lines
- Hand Job for K.
- SAFE / Incubator
- Landscapes
- surface / intimacy
- Anima Materia / The Suit
- Bleed
THEORY ++
COLLABORATION ++
Info / CV ++
- The Viennese Georg Eckmayr is an artist, researcher and lecturer.
He studied digital art at the class of Peter Weibel under whose supervision he also completed and defended his doctoral thesis on digital images.
- Please contact me via one of these platforms below or the email on the CV page.
latent_me
(digital d3mentia)
This video “latent me – digital dementia” is a very personal project. My father had dementia and his condition was very quickly worsening. There seem to be parallels in our coping mechanisms between loosing yourself to biological decline and losing control over my digital identity because of network complexities.
This video was generated by a feedback loop of compressing the visual data of my portrait and reconstructing it by pattern prediction. Instead of distilling rich texture information into meaningful lines, as a drawing does this process focuses on statistically significant patterns. Over time, this emphasis alters the information within the image crucial for identity. What remains is a latent version of it, statistically true but beyond visual identity preservation.
Compression shapes digital culture—it shrinks files and helps AI models learn by finding patterns in data. But this differs from how humans create meaning. Machines favor statistical averages over individual expression, turning specific information into broad system behaviors.
Could it be, that we are heading toward a future beyond individualism?