Don’t miss the 9th installment of this inspiring Creative Technology Conference.
As 2018 comes to a close, we take a moment to look back at the outstanding work done this year. From spectacular machines, intricate tools and mesmerising performances and installations to the new mediums for artistic enquiry – so many great new projects have been added to the CAN archive! With your help we selected some favourites.
Uncanny Rd. is a drawing tool that allows users to interactively synthesise street images with the help of Generative Adversarial Networks (GANs). The project was created as a collaboration between Anastasis Germanidis and Cristobal Valenzuela to explore the new kinds of human-machine collaboration that deep learning can enable.
The chAIr Project is a series of four chairs created using a generative neural network (GAN) trained on a dataset of iconic 20th-century chairs with the goal to “generate a classic”. The results are semi-abstract visual prompts for a human designer who used them as a starting point for actual chair design concepts.
Created by Waltz Binaire, Narciss is a robot that uses artificial intelligence to analyse itself, thus reflecting on its own existence. Comprised of Google’s Tensorflow framework and a simple mirror, the experiment translates self-portraits of a digital body into lyrical guesses.
Created by AnneMarie Maes, Genesis of a Microbial Skin is a mixed media installations and a research project exploring the idea of Intelligent Beehives with a focus on smart materials, in particular microbial skin. The project is about predominantly growing Intelligent Guerilla Beehives from scratch, with living materials – just as nature does.
Artificial Imagination was a symposium organized by Ottawa’s Artengine this past winter that invited a group of artists to discuss the state of AI in the arts and culture. CAN was on hand to take in the proceedings, and given the emergence of documentation, we share videos and a brief report.
Latest in the series of experiments and explorations into neural networks by Memo Akten is a pre-trained deep neural network able to make predictions on live camera input – trying to make sense of what it sees, in context of what it’s seen before.
Created by Tore Knudsen, ‘Pour Reception’ is a playful radio that uses machine learning and tangible computing to challenge our cultural understanding of what an interface is and can be. Two glasses of water are turned into a digital material for the user to explore and appropriate.
Created by Arvind Sanjeev, Lumen is a mixed reality storytelling device that lets users explore AR/VR content without being confined to headsets or mobile devices.
Created by Selcuk Artut, Variable is an artwork that explores the signification of terms in artists’ statements. The artwork uses machine learning algorithms to thoughtfully problematise the limitations of algorithms and encourage the visitor to reflect on poststructuralism’s ontological questions.
Created by Benedict Hubener, Stephanie Lee and Kelvyn Marte at the CIID with the help from Andreas Refsgaard and Gene Kogan, ‘The Classyfier’ is a table that detects the beverages people consume around it and chooses music that fits the situation accordingly.