“Rendering Data Confluences: Machine Learning Gaussian Mixture in The Generative Design of Data Sculptures” by Almeida and Passos
Conference:
Type(s):
Title:
- Rendering Data Confluences: Machine Learning Gaussian Mixture in The Generative Design of Data Sculptures
Presenter(s):
Description:
The artist invites the audience to examine 3D modeling software native render engine in an experiment using machine learning gaussian mixture to generate a series of data-sculptures having audio (Db variation) as the primary input, i.e. raw data. The artist wants to discuss how accurate is the rendering of the clusters considering the material visualized in the final rendered object is a generative occurrence as well as the 3D object. Issues related to information visualization and artificial intelligence will be addressed.
