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.
Created by Philipp Schmitt (with Margot Fabre), ‘Computed Curation’ is a photobook created by a computer. Taking the human editor out of the loop, it uses machine learning and computer vision tools to curate a series of photos from an archive of pictures.
Created by the R&D team at the creative technology agency DT, Anti AI AI is a wearable neural network prototype designed to notify the wearer when a synthetic voice is detected in the environment.
Created by Refik Anadol in collaboration with Google’s Artists and Machine Intelligence program, ‘Archive Dreaming’ is a 6 meters wide circular installation that employs machine learning algorithms to search and sort relations among 1,700,000 documents.
Created by Seoul based artistic duo Shinseungback Kimyonghun, ‘Animal Classifier’ is an AI trained to divide animals into arbitrary classifications to foreground the imperfections and edge cases in classification systems.
Created by Dries Depoorter in collaboration with Max Pinckers, Trophy Camera is a photo camera that can only make award winning pictures. Just take your photo and check if the camera sees your picture as award winning.
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.