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AI Lab

The European ARTificial Intelligence Lab (AI Lab) is a follow-up project to the European Digital Art and Science Network, a creative collaboration between scientific institutions, Ars Electronica and cultural partners throughout Europe that unites science and digital art. The European ARTificial Intelligence Lab follows on from this and addresses visions, expectations and fears that we associate with artificial intelligence. The consortium consists of 13 cultural institutions from Europe with Ars Electronica as coordinator. This online archive provides an overview of all activities carried out during the project's lifetime from 2018 to 2021. It also provides information about the network itself, the residency artists and juries, and the project partners involved. The AI Lab is co-funded by the EU program "Creative Europe (2014-2020)" and by the Federal Ministry of Arts, Culture, Civil Service and Sport.

Artist Residency at SETI Institute (US) - Interspecifics (INT) 2021

Artist Residency at SETI Institute (US) - Interspecifics (INT)

Interspecifics (INT), an independent artistic research studio founded in Mexico City wins European ARTificial Intelligence Lab residencies with the project “Codex Virtualis” at the SETI Institute in Mountain View, CA and at the Ars Electronica Futurelab in Linz, Austria. • Info: Interspecifics (INT): Codex Virtualis online / SETI Institute, Mountain View (US) / Ars Electronica, Linz (AT) 01.02.2021 - 30.09.2021

Year of creation
2021

Urls
Press: https://ars.electronica.art/press/en/2021/04/15/seti-x-ai-residency/
AE Blog, 12.10.2020, In search of the evolution of intelligence in the universe: https://ars.electronica.art/aeblog/en/2020/10/12/setixai/

Start:
Feb 01, 2021
End:
Sep 30, 2021

Info:
• Internal Project: AI Lab Online Archiv

European ARTificial Intelligence Lab, Interspecifics (INT)
Codex Virtualis / Interspecifics (INT)
Interspecifics (INT), an independent artistic research studio founded in Mexico City, are the winners of the AI Lab residency, SETI x AI. Interspecifics’ (INT) project is called Codex Virtualis. With Codex Virtualis, Interspecifics will build a systematic collection of AI-generated hybrid organisms that will emerge due to speculative symbiotic relationships between microorganisms and algorithms. The goal is to conceptualize and simulate life-like, self-organizing autonomous organisms that could provide insights into how life might originate in extraterrestrial habitats.

Interspecifics will work on their project in the course of a residency at the SETI Institute and the Ars Electronica Futurelab in Linz, Austria.

Credit: Interspecifics
Codex Virtualis / Interspecifics (INT)
Photo showing the project "Codex Virtualis" by Interspecifics (INT) at the Theme Exhibition "Digital && Life".

Codex Virtualis is an artistic research framework oriented towards the generation of an evolving taxonomic collection of hybrid bacterial-AI organisms. With a subtle echo of endosymbiotic theory, we propose a symbolic formulation of a style transfer machine learning environment as a host in which to merge bacterial/archaea time-lapse microscopy footage along with multidimensional cellular automata computational models as endosymbionts, all under the orchestration of an autonomous generative non-adversarial network architecture. Our aim is to encounter novel algorithmically driven aesthetic representations tagged with a unique morphotype and genotype-like encoding, and that are articulated around a speculative narrative encompassing unconventional origins of life on earth and elsewhere.

Credit: Ars Electronica - Robert Bauernhansl
Codex Virtualis Interspecifics (INT)
Codex Virtualis is an artistic research framework oriented towards the generation of an evolving taxonomic collection of hybrid bacterial-AI organisms. With a subtle echo of endosymbiotic theory, we propose a symbolic formulation of a style transfer machine learning environment as a host in which to merge bacterial/archaea time-lapse microscopy footage along with multidimensional cellular automata computational models as endosymbionts, all under the orchestration of an autonomous generative non-adversarial network architecture. Our aim is to encounter novel algorithmically driven aesthetic representations tagged with a unique morphotype and genotype-like encoding, and that are articulated around a speculative narrative encompassing unconventional origins of life on earth and elsewhere.

Photo: tom mesic