photographs – Artificial Intelligence

Recognition

Gregor Tatschl — Tue, 08 Aug 2017 21:02:42 +0000

Fabrica (IT)

Can a machine make us look at art through the lens of today’s world? Inspired by the paradoxes of bringing AI to a museum applying rational and objective thinking to a subjective field like art, Recognition uses artificial intelligence algorithms to compare photographs from current events as they unfold from the international press agency Reuters with British art from the Tate collection.

Over three months from September 2 to November 27, 2016, Recognition created a virtual gallery that ran 24 hours a day, comparing Tate’s archive and collection of British art online with the most recent news images from Reuters. The matches were based on visual and thematic similarities found by the algorithm through a multi-criteria pattern. The public could explore the virtual gallery of matches online at http://recognition.tate.org.uk and in the gallery at Tate Britain through an interactive display.

Credits

Artists: Coralie Gourguechon (FR), Monica Lanaro (IT), Angelo Semeraro (IT), Isaac Vallentin (CA).

Credits: IK Prize in partnership with Microsoft
Created by Fabrica and Jolibrain
Content Provider: Reuters

I + I = #Who?

Gregor Tatschl — Tue, 08 Aug 2017 20:45:39 +0000

FAB, Virtual Office

Reality, fiction, wishful thinking?! Who am I; who can I be? We take selfies to place ourselves in the middle of the picture. How can I feature myself? How would I like to?

Who would I then like to be? For whom am I playing myself up? Virtual Office’s take on this year’s festival theme, “The Other I,” calls upon participants to find out who today’s young people want to be, which ideals they strive for, and who their role models are. Staged photographs are designed to enable participants and visitors to reinvent themselves.

Latent Space

Gregor Tatschl — Tue, 08 Aug 2017 16:27:05 +0000

Jake Elwes (UK)

Artificial intelligence and machine learning are fast becoming part of everyday life. Based on AI models currently used, among other things, in content moderation and surveillance, the artworks explore the “latent space” of the AI as it processes and imagines the world for itself, dreaming in the areas between and beyond what it has learnt from us.

Latent Space has been created by an artificial intelligence (AI)—an algorithm used to generate images based on how the human brain works to make sense of data. The AI was trained by inputting 14.2 million photographs. Once it has built neural connections to comprehend the data it can begin to dream in the areas between and beyond what it has learnt from us: a digital abstracted subconscious conceiving of new images and visualizing a “latent space”.

Credits

www.jakeelwes.com
Special thanks to Anh Nguyen et al. at Evolving-AI for their work on GANs

Silences (Active Images)

Gregor Tatschl — Tue, 08 Aug 2017 14:19:51 +0000

Lohner Carlson (DE/US)

Lohner Carlson have been pursuing the notion of the Active Image since the late 1980s when their initial collaboration with John Cage inspired them to expand the found object and the notion of silence into the medium of film. As a result, Active Images investigate the nature of photography and the moving image.

The viewer’s “real” time perception collides with filmed “realtime” in an experimental combustion of long-term visual loops with seemingly coincidental and minimalist changes, thereby allowing the temporal and spacial dimension to transform into hypnotic, rhythmic, visual-music structures.

In order to adequately present their digital media work, Lohner Carlson, together with Videri, have developed a hardware-software-content-exhibition platform named Active Image technology, which, for the first time, allows complete digital uniqueness and originality, accountability, transactability, and security of the media artwork.

Aesthetically, images shown on the Active Image digital canvas rival the saturation and tranquility of analog picture or painting quality. In the near future this new presentation form will be available for all media artists. At Ars Electronica 2017 this technology will be shown for the first time, featuring artworks by Lohner Carlson and Arotin & Serghei.

Credits

Lohner Carlson sind Henning Lohner (DE / US), Van Carlson (US) and Max Carlson (US)