The performative lecture Retraining Bodies by Luca Pagan originates from a reflection on the link between technologies and the human body. Through the use of body architectures for detection
body movement, the machine learns to associate the expressiveness of gestures to the
production of sound forms. Prostheses are designed with modeling software and printed with the use of the 3D printer.
Using machine learning algorithms, the artist taught the machine its expressive gestures so that the production of sound was different depending on the user who uses it.
Receiving gestural data different from those provided by the artist, the machine performs an interpolation of parameters creating unexpected sound results.
The Retraining Bodies project aims to shift the focus of research from what we can teach artificial intelligence to what artificial intelligence can teach us. Sound is used as a means of dialogue between the expressive and perceptive intimacy of the artist’s body and the machine. Each sound becomes a stimulus to perform a new movement.