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
The Changing Room – Displays of emotion by Lauren McCarthy

Created by Lauren McCarthy, “The Changing Room” installation invites participants to browse and select one of hundreds of emotions, then evoking that emotion in them and everyone in the space through a layered environment of light, visuals, sound, text, and interaction exhibited over a multi-level, many-sided display.

07/03/2017
Particle Flow – Kinetic particle study by NEOANALOG

Created by digital design studio NEOANALOG , “Particle Flow” is a physical installation comprised of granules driven by gravity and topography forming an analogue particle system. A moving slanted plane and a grid of motorized stamps control the elements to form infinite variations of behaviours and patterns.

14/02/2017
TraiNNing Cards – Flash cards to train your machines

Latest in the series of critical design projects by Shanghai design and research studio Automato, TraiNNing Cards is a set of 5000 training images, physically printed and handpicked by humans to train any of your machines to recognise first and favorite item in a house: a dog.

01/02/2017
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.

23/01/2017
CAN 2016 – Highlights and Favourites

At its best, creative inquiry offers intellectual nourishment, empowerment and solace. At the end of 2016, we need all of those, which is why remembering – and celebrating – the outstanding work done this year is all the more important. Over the past twelve months we’ve added more than 100 projects to our archive – and with your help we’ve selected the favourite ones!

24/12/2016

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.

Created by London based convivial studio, Kinedioscope is a technique used to create animated depth effects on static photographs. The process is comprised of reverse-engineering the technology of photogrammetry in order to perfectly align the photography with the perspective of the 3D model and create depth and masking effects.

Created by the Mediated Matter Group and the MIT Media Lab, GLASS II is the group’s most recent work in the area of 3D printing optically transparent glass now at architectural scale.

Created by Lauren McCarthy, “The Changing Room” installation invites participants to browse and select one of hundreds of emotions, then evoking that emotion in them and everyone in the space through a layered environment of light, visuals, sound, text, and interaction exhibited over a multi-level, many-sided display.

Created by the visual artist Palmer Eldritch aka Denial of Service, “Onryō” is the latest in the series of audio/video releases that combines tech-noir chaos with reaction-diffusion sequences created in Max/Jitter, courtesy of Paul Fennell.

Created by digital design studio NEOANALOG , “Particle Flow” is a physical installation comprised of granules driven by gravity and topography forming an analogue particle system. A moving slanted plane and a grid of motorized stamps control the elements to form infinite variations of behaviours and patterns.

Created by Studio Antimateria in collaboration with participating students at the workshop hosted by Presidio Temporaneo di Architettura, Shape in Scapes is an audiovisual installation that provides an abstract representation of students’ architectural projects.

Latest in the series of critical design projects by Shanghai design and research studio Automato, TraiNNing Cards is a set of 5000 training images, physically printed and handpicked by humans to train any of your machines to recognise first and favorite item in a house: a dog.

Created by Sebastian Schmieg, ‘Decision Space’ explores how new datasets can enable new experiments in teaching computers how to understand images within a set of meaningful and complex categories.

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.

Created by Henning Marxen, Crossvision is a series of video art sequences of recognisable yet disorienting sceneries that combine the popular slit-scan capturing technique with a specially designed camera slider.

A complete redesign of his 2014 Jean Tinguely-inspired project, David Colombini’s Attachment is a “poetic machine” that renders physical manifestations of user-generated digital messages (text, images, or videos) and sends them off via biodegradable balloons.

Wind of Boston: Data Paintings by Refik Anadol Studios is a site-specific installation that turns the invisible patterns of wind in and around Boston into a series of data paintings on a 1.8m x 4m digital canvas.

At its best, creative inquiry offers intellectual nourishment, empowerment and solace. At the end of 2016, we need all of those, which is why remembering – and celebrating – the outstanding work done this year is all the more important. Over the past twelve months we’ve added more than 100 projects to our archive – and with your help we’ve selected the favourite ones!

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