Instruments & Situations: Machine learning, synthesis & creative coding

Zbyszynski, Michael. 2019. 'Instruments & Situations: Machine learning, synthesis & creative coding'. In: FluCoMa Plenary 3. University of Huddersfield, United Kingdom 20 – 23 November 2019. [Conference or Workshop Item]

No full text available

Abstract or Description

Keynote presentation at the third FluCoMa plenary, which saw the creative coders involved in the early testing and refinement of the FluCoMa toolboxes, as well as two external specialists and the project team, come together for four days of discussion, brainstorming, and critical engagement with the FluCoMa project. The first toolbox, Fluid Decomposition, was released in a celebratory concert where the first cohort of critical users of the tools premiered their work.

Item Type:

Conference or Workshop Item (Keynote)

Departments, Centres and Research Units:

Computing
Computing > Embodied AudioVisual Interaction Group (EAVI)

Dates:

DateEvent
20 November 2019Published
13 April 2020Published Online

Event Location:

University of Huddersfield, United Kingdom

Date range:

20 – 23 November 2019

Item ID:

29698

Date Deposited:

03 Feb 2021 10:53

Last Modified:

03 Feb 2021 10:53

URI:

https://research.gold.ac.uk/id/eprint/29698

Edit Record Edit Record (login required)