GMU:Artists Lab:Theresa Elstner

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Artists Lab 17/18

Initial Post

Machine Learning is ubiquitous. Machines and gadgets all around us are continuously learning from the behaviour of their users and the surrounding world. I am interested in this learning process, its algorithmic mechanics and its motivation. I plan to concentrate my work on machine learning

  • as an interactive tool,
  • in terms of borders of possible applications (empathy, self-awareness),
  • in the fact that it can detect patterns, where we do not see any
  • and its use of "statistical stereotypes" for decision-making.
 
Step back and you see a person in the picture. An ai could see this without stepping back.
 
Jaume Sanchez' Polygonshredder seems to be alive when continuously forming new structures in chaos.


Progress

I am currently in a research phase, this includes

The following picture shows the setup on my computer, while playing around with wekinator: It shows the Wekinator-UI on the upper right corner, some code to interface it with osc-protocol on the lower right corner, the voice-input-interface from the wekinator example set on the lower left corner and finally the command-line-output of the classified voice on the upper left corner. The command-line-interface shows the output of a model, that is trained to classify 2 different voices. It outputs '1' for one voice, and '2' for the other voice.

 
The model can distinguish two different voices.