Machine Vision

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Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media is a five year, ERC-funded project that explores how new algorithmic images are affecting us as a society and as individuals. Professor Jill Walker Rettberg is the principal investigator of Machine Vision, which starts up 1 August, 2018.

The Machine Vision team will study theories and histories of visual technologies and current machine vision, analyse digital art, computer games and narrative fictions that use machine vision as theme or interface, and examine the experiences of users and developers of consumer-grade machine vision apps. Three main research questions are woven through all the approaches, addressing 1) new kinds of agency and subjectivity; 2) visual data as malleable; 3) values and biases. A five page summary is available.

Machine Vision sin første workshop

The first workshop hosted by Machine Vision

In the start of November Machine Vision hosted their first workshop at Solstrand Hotel with creative researchers, artists and designers from many parts of the world.

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Follow the Machine Vision project in Social Media

Machine Vision is growing and has a new Tumblr with weekly updates.

Electronic Literature
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ELO 2018: Database Collaboration, Facial Recognition, and Third Generation Electronic Literature

Last month, the annual conference and festival of the Electronic Literature Organization took place at UQAM (Montreal, Canada) to present state-of-the-art research and creative projects as well as discuss future collaborations and strategies of the field. In this blogpost, I outline the elements of...

ERC Consolidator Grant
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€2 million to study the cultural effects of machine vision

Jill Walker Rettberg has received ERC funding for aesthetic and cultural research on everyday machine vision. The project will launch in August 2018, and runs for five years.

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771800).