/training (7)


Imagined as a tool to provide assistance to a conventional approach to sculpting, here an AI model is developed to seek out strategies that provide a constant improvement to how a given form is achieved. By feeding it with different tools, rules and rewards through reinforcement learning, the team steer the process revealing unpredictable outcomes.
12/12/2022Created by Yuri Sizuki (Pentagram) in collaboration with Fish Fabrications and Counterpoint, ‘The Welcome Chorus’ is an interactive installation that brings together sound, sculpture and artificial intelligence.
29/01/2020Created 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.
25/05/2017Created 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.
05/05/2017Created by Yuri Suzuki Design Studio and presented at the recent Milan Design Week, Sonic Pendulum is a sound installation in which articial intelligence imagines and materialises an endless soundscape.
24/04/2017Latest 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.
01/02/2017Created 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.
23/01/2017Imagined as a tool to provide assistance to a conventional approach to sculpting, here an AI model is developed to seek out strategies that provide a constant improvement to how a given form is achieved. By feeding it with different tools, rules and rewards through reinforcement learning, the team steer the process revealing unpredictable outcomes.
Tags: ableton / ai / artificial intelligence / behaviour / complexity / control / digital art / instrument / machine learning / openai / paper / python / render / sculpture / training / unity / voxel
Created by Yuri Sizuki (Pentagram) in collaboration with Fish Fabrications and Counterpoint, ‘The Welcome Chorus’ is an interactive installation that brings together sound, sculpture and artificial intelligence.
Tags: ableton / ai / artificial intelligence / folkRNN / kent / MaxMSP / music / Tensorflow / training / turner contemporary / uk / Vocaloid / Yuri Suzuki
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.
Tags: archive / DirectX 11 / featured / GAN / google / installation / library / machine learning / neural networks / process / Refik Anadol / training / tSNE algorithm / vvvv
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.
Tags: ai / analysis / classification / machine learning / process / Raspberry Pi / Shinseungback Kimyonghun / Tensorflow / training
Created by Yuri Suzuki Design Studio and presented at the recent Milan Design Week, Sonic Pendulum is a sound installation in which articial intelligence imagines and materialises an endless soundscape.
Tags: artificial intelligence / featured / generative / MaxMSP / milan design week / neural network / process / Qosmo / software / Sound / training / Yuri Suzuki
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.
Tags: automato / cards / creative technology / creativeappsnet / critical design / design / machine learning / media technology / neural networks / object / research / training
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.
Tags: Bjørn Karmann / creative technology / creativeappsnet / domesticity / internet of things / machine learning / Objects / openFrameworks / Processing / programming / RasperryPi / training