Rhizomatiks Research ELEVENPLAY Kyle McDonald

discrete figures 2019

Human performers meet computer-generated bodies, calculated visualisations of movement meet flitting drones! Artificial intelligence and self-learning machines make this previously unseen palette of movement designs appear, designs that far transcend the boundaries of human articulateness, allowing for a deep glimpse into the abstract world of data processing. The Rhizomatiks Research team, led by Japanese artist, programmer, interaction designer and DJ Daito Manabe, gathers collective power with a number of experts, among them the five ELEVENPLAY dancers of choreographer MIKIKO as well as from coding artist Kyle McDonald. The result is a breathtaking, implemented beautifully, in short: visually stunning.

ELEVENPLAY x RZM

Discrete Figures
‘Discrete Figures’ unites the performing arts and mathematics in a dramatic exploration of the relationship between the human body and computer generated movement (simulated bodies) born from mathematical analysis. As an additional layer of complexity, the performance piece utilizes drones, A.I., and machine learning in the quest for a new palette of movement to foster undiscovered modes of expressive dance that transcend the limits of conventional human subjectivity and emotional expression.

FIELD

System Aesthetics
The works in this series are part of an extensive research project by FIELD, exploring the most relevant machine learning algorithms in code-based illustrations […] We have started a deeper exploration of the less accessible information that is out there, such as scientific papers and open source code publications, to develop an understanding of these algorithms’ inner workings, and translate it into visual metaphors that can contribute to a public debate.