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.
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 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.
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.
