A human-machine collaboration exploring algorithmic curation since 2016. ARCU&OHM’s primary focus lies in the research and development of frameworks for curating digital collections using computational methods.

Algorithmically-curated art exhibition with selected works from the inventory of purchase awards from the Cultural Foundation of the Free State of Saxony.

Livestreams of popular artworks collectively reproduced by social media users. A contemporary virtual version of Le Musée Imaginaire – the imaginary museum.

A computer-generated publication and art graduation thesis on 'Artificial Intelligence in Contemporary Art'. The main focus of this project is to develop a method for computational text curation and automated research – an experimental artistic use case for established Machine Learning services, search engines and databases.

An automated system researching in the thematic field of artificial intelligence in contemporary and future art. ARCU shares relevant news, projects and articles with the world on a daily basis on Twitter.

A conversation about emotions between the two most iconic operating systems in film history: HAL from “2001: A Space Odyssey” (1968) and Samantha from “Her” (2013).

An experimental aesthetic research on portrait paintings by famous artists such as Rembrandt, Rubens and Caravaggio. For decades, art historians have been discussing whether or not the Old Masters have immortalized themselves in the facial features of their portrayed subjects.

A wooden hand cranked 8-bit music box playing melodies which can be physically programmed with computing jumpers.

In this interactive installation, the children’s game in which a message is whispered from one person to another is performed with smartphones using the default speech recognition and speech synthesis software of the device’s operating system.

A series of various digital superimpositions aesthetically investigating stereotypes. Every digital work is the result of 20 to 40 pictures algorithmically merged into a single image.

In this audiovisual projection, a choir performs the protest song in a constant repetition. However, the 20 singers are not perceived as individuals, but as a collective image that is visually merged into one appearance.

A working prototype that immediately uploads the captured photographs and prints the corresponding links as a binary QR codes.

What happens when you outsource every single step of a short film production to an online micro-job marketplace? What kind of creative piece will be generated out of this labor power if you just give it a budget to work from?

One goldfish. Two bowls. One hoop. Drum roll.

Tillmann Ohm is an artist and creative technologist with a special focus on complex curatorial systems. He combines network science, machine learning and digital archives with exhibition-making to develop experimental tools for curating art and engaging with cultural artefacts. Ohm graduated from Bauhaus University Weimar with a diploma in Fine Arts in 2018 and received the Bauhaus Graduation Scholarship for his artistic project of computational research in the field of artificial intelligence in contemporary art. His work was further funded and awarded with the Scholarship for Visual Artists 2019 by the Cultural Foundation of the Free State of Saxony. Since September 2020, Tillmann Ohm works as a Junior Research Fellow for the EU funded research project of Cultural Data Analytics (CUDAN) and School of Digital Technologies at Tallinn University in Estonia.