Crystallography is the process of shining a light through a crystalline material to reveal the qualities of its inner structure through its diffraction pattern. By sonifying diffraction data from a piece of quartz – a key substance within the electronics industry since the 1930s – Crystalline Unclear creates a temporal experience of something that usually…
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122 ResultsCreated 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.
A P P A R E L is an augmented reality experimental fashion prototype by the Paris-based anticipatory design studio N O R M A L S. Turning data and network activity into identity and style, the project replaces the details of contemporary couture with jiggly mesh geometry digital overlays.
Created by Lauren Lee McCarthy & Kyle McDonald, Unlearning Language is an interactive installation and performance that uses machine learning to provoke the participants to find new understandings of language, undetectable to algorithms.
Found in Translation is an interactive, immersive installation where using their own spoken sentences, visitors viscerally experience the process of machine translation. Visualizations show how the machine learning model clusters words from different languages by semantic similarity, and translations are presented typographically and auditorily across 24 languages.
‘A Natural History of Networks / SoftMachine’ is an electrochemical algorithmic performance that probes an alternative computational and technological material regime.
Created by Jessica In, Machinic Doodles is a live, interactive drawing installation that facilitates collaboration between a human and a robot named NORAA – a machine that is learning how to draw. The work explores how we communicate ideas through the strokes of a drawing, and how might a machine also be taught to draw through learning, instead of via explicit instruction
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.
At the upcoming (14th!) edition of Geneva’s Mapping Festival (May 9 – 12), CAN is proud to co-host Mapping LAB – a one-day educational program of 13 workshops run by leading artists, designers, and researchers in our field. Join us!
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.
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Created by Mike Hogan, Karen Hogan and Orkan Telhan, ‘Microbial Design Studio’ is a countertop biofabrication machine that brings together the capabilities of a biology wetlab into a single inexpensive piece of hardware to design, culture, and test genetically modified organisms.
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.
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Founded in Berlin, Germany, in 2014, School of MA provides unique, hands-on learning experiences at the intersection of art and technology in Europe. School’s founder Rachel Uwa speaks to the instructors Andrew Friend and Sitraka Rakotoniaina about the recent and future programmes.
Created by Martin Hertig at ECAL, Sensible Data is a playful installation consisting of three machines that collect user’s personal data, evaluates mood, age, gender and beauty, to create a ‘passport’ that user can take away but which also randomly sent (without user’s knowledge) to another participant.
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dnose is an interactive sculpture in the shape of a nose created at NYU, Tisch School of the Arts ITP (Interactive Telecommunications Program) which combines image recognition and machine learning using a Raspberry Pi to predict the smell of any object placed underneath it.
‘Floating Codes’ is a site-specific light and sound installation that explores the inner workings and hidden aesthetics of artificial neural networks – the fundamental building blocks of machine learning systems or artificial intelligence. The exhibition space itself becomes a neural network that processes information, its constantly alternating environment (light conditions/day-night cycle) including the presence of the visitors.
Created by Franz Rosati, ‘Latentscape’ depicts exploration of virtual landscapes and territories, supported by music generated by machine learning tools trained on traditional, folk and pop music with no temporal and cultural limitations.
Latest in the series of video essays by an artist and researcher Alan Warburton, is ‘RGBFAQ’, tracing the trajectory of computer graphics from WW2 to Bell Labs in the 1960s, from the visual effects studios of the 1990s to the GPU-assisted algorithms of the latest machine learning models.