‘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 Philipp Schmitt, “Why Would You Want to Picture It” is a sculpture and sound installation engaging with opacity of ‘black box’ machine learning algorithms.

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.

Neural Network experiment by Eddie Lee uses evolutionary NN to simulate AI path finding of Froggy-style game mechanic. Every generation, it chooses the “fittest” critters and asexually reproduces them.

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 a Golan Levin, David Newbury, and Kyle McDonald, with the assistance of Golan’s students at CMU, Terrapattern is a visual search tool for satellite imagery that provides journalists, citizen scientists, and other researchers with the ability to quickly scan large geographical regions for specific visual features.

Created by Michael Sedbon, Alt-C is an installation that uses electricity produced by plants to power a single board computer mining a cryptocurrency. The project questions our relationship to ecosystems in regards to networked technologies and abstraction problematics.

Created by Fabio Carbone, Neural Evolution is a an experiment created in Processing that trains a Neural Network through a natural selection process (genetic algorithm) in a scenario where the only survival is food.

Created by Brad Todd, Collimation takes a form of basic form of artificial intelligence, where the visual stimuli is translated, in a performative act of seeing with the resulting data that takes the form of a neuron.

Created by Richard Vijgen, ‘Through Artificial Eyes’ is an interactive installation that lets the audience look at 558 episodes of VPRO Tegenlicht (Dutch Future Affairs Documentary series) through the eyes of a computer vision Neural Network.

Created by Douglas Edric Stanley, Inside Inside is an interactive installation remixing video games and cinema. In between, a neural network creates associations from its artificial understanding of the two, generating a film in real-time from gameplay using images from the history of cinema.

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 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.

Anima is an interactive installation that facilitates a musical jam session between humans and machines. Operating much like a sequencer, Anima uses open-source AI algorithms to generate musical sequences.

‘Artificial Botany’ by fuse* is an ongoing project which explores the latent expressive capacity of botanical illustrations through the use of machine learning algorithms.

Created by panGenerator, “Icons” is an exhibition exploring our shared cultural “imaginarium” of digital gestures, symbols, and artefacts, dragging them out onto a physical space, enabling audiences a direct, tactile confrontation and – also literally – a different visual perspective.

Created by Artem Stepanchuk, ‘The Transcriptions of Space’ is an experimental application (PWA) developed using deep learning algorithms that demonstrates the ability of artificial intelligence to realize the inherent human creativity.

In Elektra’s 20th year common themes from throughout the history of the festival of machinic bodies and digital transcendence are explored in depth and pushed to their extremes.

SFPC tutors Celine Wong Katzman and Taeyoon Choi reflect on yet another successful session at the artist run school in New York. SFPC Fall 2019 Open Call is live now!

Yuri Suzuki and Pentagram in collaboration with Counterpoint have re-imagined the Electronium – Raymond Scott’s instantaneous performance-composition machine.

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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.

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.

Created by Marta Revuelta, AI Facial Profiling, Levels of Paranoia is a project exploring the potential and implication of AI technologies by proposing a machine that recognises the ability of an individual to handle firearms and predicts their potential to cause harm from a biometric analysis of their face.

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.

Created by Marco Donnarumma in collaboration with Neurobotics Research Laboratory and Ana Rajcevic Studio, Amygdala MKI is a prototype for an artificially intelligent prosthesis with only aim is to learn a purification ritual of “skin-cutting” found in animistic tribes, so it trains on its own body, endlessly.

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.

Guillaume Massol’s openFrameworks app titled “All work and no play” watches videos coming from different training datasets and generates sentences loosely based on what is happening on the screen, sometimes creating pearls of wisdom by coincidence.

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.

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.