Artist ✦ Often revisited
Sougwen Chung
An artist and researcher working on human–machine collaboration, known for performances and installations in which the artist draws together with self-built robotic arms.
Open page ↗ sougwen.com
Artist ✦ Often revisited
An artist and researcher working on human–machine collaboration, known for performances and installations in which the artist draws together with self-built robotic arms.
Open page ↗ sougwen.com
Ordered by the number of shared categories, tags and technologies.
Studio / Collective
A Tokyo-based creative team including Daito Manabe. It uses data, sensing and robotics to create media artworks and to stage live performances.
In common: Robotics · Performance · Installation · Robots · Machine Learning
Artist
A Japanese art unit that presents itself as a small electrical-goods manufacturer. It builds its own mechanical instruments and devices and takes them to live shows, exhibitions and even mass-produced toys. The official site covers works, performances and products.
In common: Robotics · Performance · Installation · Robots
Exhibition / Event Revisited
A Linz, Austria–based institution exploring art, technology and society. It comprises a festival, the Prix Ars Electronica competition, a museum (the Center) and the Futurelab R&D unit.
In common: AI & Machine Learning · Performance · Installation
Institution
A cultural institution for art and media in Karlsruhe, Germany. It combines exhibition, collection, research and production of media art, and has staged major exhibitions on art, science and technology.
In common: AI & Machine Learning · Installation
Tool / Software
An open-source C++ toolkit for creative coding. It handles graphics, video, sound and sensor input, and is used to build large installations and performances.
In common: Performance · Installation
Artist
The official site of a Japanese composer and artist who works with sound and data. It organises his large-scale audiovisual installations such as datamatics and supersymmetry, his concerts and his recordings by series. A leading example of making numbers and data themselves into the work.
In common: Performance · Installation
Thicker lines mean more in common.