mathematics

data.tron

Ryoji Ikeda (JP)

How many points are there in a line? What is the number of numbers? How can we verify that the random is random? data.tron is part of the datamatics project, a series of experiments that explore such questions both physically and mathematically. Visitors will experience the vast universe of data in the infinite between 0 and 1. data.tron is an audiovisual installation in which each single pixel of visual image is strictly calculated by mathematical principle, composed of a combination of pure mathematics and the vast sea of data present in the world. These images are projected onto a large screen, heightening and intensifying the visitor’s perception and total immersion in the work.

The New Face of Physiognomy

Tiantian Xiang (CN)

Physiognomy is a discarded 19th-century pseudoscience. However, AI bias seems to be resurrecting it. Why is this happening again? This project investigates human trust in AI by exploring bias in facial analysis systems. It juxtaposes face analysis from AI mathematical models with judgements from the pseudoscience of physiognomy to draw parallels between these two biased forms of sense making.

Bird Language

Helena Nikonole (RU)

This project explores the possibilities of Artificial Intelligence in a bio-semiotics context: the artist uses machine learning to explore the sign systems of birds.