Digital #MediaArt(s) Numérique(s)

For robots to navigate the world, they need to be able to make reasonable assumptions about their surroundings and what might happen during a sequence of events.

One way that humans come to learn these things is through sound. For infants, poking and prodding objects is not just fun; some studies suggest that it’s actually how they develop an intuitive theory of physics. Could it be that we can get machines to learn the same way?

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have demonstrated an algorithm that has effectively learned how to predict sound: When shown a silent video clip of an object being hit, the algorithm can produce a sound for the hit that is realistic enough to fool human viewers...

The IMTR Team conducts research and development on interactive music systems, gesture and sound modeling, interactive music synthesis, gesture capture systems and interfaces. The applications cover music performance and more generally all the performing arts. The use of digital techniques can be seen as augmenting or creating new performer’s instruments – transforming sound, voice, gestures, memory - creating dialogues between artists and digital media.

Standing waves of fire!
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Rubens' Tube is an awesome demo and here we take it to the next level with a two-dimensional 'Pyro Board'. This shows unique standing wave patters of sound in the box.

The pressure variations due to the sound waves affect the flow rate of flammable gas from the holes in the Pyro Board and therefore affect the height and colour of flames. This is interesting for visualizing standing wave patterns and simply awesome to watch when put to music. Thank you to Sune Nielsen and everyone at Aarhus for sharing this demonstration with me! And thanks for having me at your conference.