Created by Benedict Hubener, Stephanie Lee and Kelvyn Marte at the CIID with the help from Andreas Refsgaard and Gene Kogan, ‘The Classyfier’ is a table that detects the beverages people consume around it and chooses music that fits the situation accordingly.
↑ The AI needed to be trained to detect the sound of beverages used.
A built in microphone catches characteristic sounds and then compares these sounds to a catalogue of pre-trained examples. The Classyfier identifies it as belonging to one of three classes; hot beverages, wine or beer. Each class has its own playlist that one can navigate through by knocking on the table.
The idea behind this project was to build a smart object that uses machine learning and naturally occurring sounds as input to enhance the ambiance of different situations. The main tools used were Wekinator, Processing and the OFX collection.
Some seven months ago Squarepusher and WARP records released a video titled Z-Machines, comprised of hand built robots showcasing the stupendous chops of the robot guitarist, drummer and keyboard player.
Created by Moscow based artist Dmitry Morozov aka ::vtol::, Oil is the latest in the series of installations by Dmitry that explore the relationship between the material and ephemeral in contemporary culture.
Created at ECAL during a one week workshop led by Thibault Brevet, The Center for Counter-Productive Robotics is a collection of experiments where a robot was programmed to perform counter-productive tasks, with intention to develop a more human-centric approach to robotics.
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.
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