20
October
2022
|
11:57
Europe/London

NOVARS on a public engagement mission at the Manchester Science Festival 2022

NovarsatMSF

Under the theme of ‘Future Human’, academic researchers, postgraduates and artistic residents at the NOVARS research centre from the University of Manchester are joining the festival’s ‘Family Zone’, with a mission to communicate complex musical research to younger audiences.

The showcase including four interactive works combining Music and AI in partnership with PRiSM (RNCM) explores the limits of human/computer interaction in sound, navigating the relationships between humans and artificial intelligentia through music and exploring future human habitats in sound away from our solar system.

21–30 October 2022 from 10.00–16.00 at the 1830 Warehouse, Science and Industry Museum, Manchester. Free and suitable for all ages!

Book Tickets here.

Installations:

  • AURA#1: Algorithmic STEEL sound sculpture’ by Vicky Clarke.
    This research aims to demystify machine learning, break out of the hidden black box and share insights and approaches for other artists to create with sonic AI.
  • EXOPLANETS by Cameron Naylor.
    This interactive installation uses the databases collected by scientists, and invites visitors to experiment for themselves how exoplanets may look and sound like, by creating them from scratch.
  • AI BEATBOXER (Noh Virtual), a project by Ricardo Climent with Giorgios Gargalas (Greek beatboxer champion), Hongshuo Fan, Alena Mesarošová and Manu Ferrer.
    Masks in Japanese Noh theatre work like mysterious portals to the inner life and narratives of the characters they represent. But what if we use Artificial Intelligence to teach a mask to learn how to beatbox, so that they become your singing companion?
  • #UnSupervised highlights: A collaboration between PRiSM and the NOVARS Research Centre at the University of Manchester. This community of composers, musicians, computer scientists and audiovisual artists explore the creative use of emerging AI and Machine Learning technologies in Music.

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