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CAN 2019 – Highlights and Favourites

As per tradition each year, December is when we look back at the amazing work published on CAN. From ingenious machines and installations to mesmerising experiences that leverage new mediums for artistic inquiry – we added scores of projects to CAN’s archive in 2019. Here are some highlights.

23/12/2019
Features / Members
CAN 2017 – Highlights and Favourites

As 2017 comes to a close, we take a moment to look back at the outstanding work done this year. From spectacular peformances, large scale installations, devices and tools to the new virtual spaces for artistic exploration – so many great projects are being added to the CAN archive! Here are a just few, 25 in total, that we and you enjoyed the most this year.

22/12/2017
Features / Members
❮ CAN 2019 – Highlights and Favourites ❯

As per tradition each year, December is when we look back at the amazing work published on CAN. From ingenious machines and installations to mesmerising experiences that leverage new mediums for artistic inquiry – we added scores of projects to CAN’s archive in 2019. Here are some highlights.

❮ Alias – A teachable “parasite” for your smart assistant ❯

Created by Bjørn Karmann and Tore Knudsen, Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy.

❮ CAN 2017 – Highlights and Favourites ❯

As 2017 comes to a close, we take a moment to look back at the outstanding work done this year. From spectacular peformances, large scale installations, devices and tools to the new virtual spaces for artistic exploration – so many great projects are being added to the CAN archive! Here are a just few, 25 in total, that we and you enjoyed the most this year.

❮ Objectifier – Device to train domestic objects ❯

Created by Bjørn Karmann at CIID, Objectifier empowers people to train objects in their daily environment to respond to their unique behaviours. Interacting with Objectifier is much like training a dog – you teach it only what you want it to care about. Just like a dog, it sees and understands its environment.