Making pictures with Artificial Intelligence
Helena Sarin |
TEDxKonstanz
• March 2021
How does artificial intelligence sample images, store information, and re-assemble it in a single art piece? And what does this tell us about the way we perceive images and aesthetics? Helena Sarin is an artist who uses machine learning techniques - and more specifically GANs (Generative Adversarial Networks), as a new medium for picture making. Helena exploits the latent representations learned by generative models as a form of compressed memory, with its own unique aesthetic that can be both familiar and visually indeterminate.
Helena Sarin is a visual artist and software engineer. Although always involved with cutting edge technologies, Helena had continued doing commission work in watercolor and pastel and other types of “analog” art.. That is, until she discovered GANs. In addition to her work being exhibited at AI Art exhibitions across the world, she is a frequent speaker at machine learning conferences, for example for MIT, Library of Congress, Capitol One, Adobe Research and CMU.
Intro animation created by Mike Costelloe. Music intro from Phase 3 by Xylo-Ziko, used under CC BY-NC 4.0.
Video edited by Lilith Kugler.