monsters

Making Monsters

Anqi Wang (CN)

This project aims to explore and discuss the combination of CCTV surveillance and machine learning. It invites audiences to consider this new paradigm in surveillance techniques by using cameras to detect and capture faces and process them in a deep learning Generative Adversarial Network.

Shadow of Original Sin

Xu Dongyan (CN), Guo Biyu (CN), Zhong Manting (CN), Zhengren Chen (CN)

Shadow of Original Sin is an interactive installation that explores human original sin. Where there’s light, there must be shadows. From the shadows, we can always see the dark side of human nature. The inside of the device will reflect the original sin inside of you as a human being. In the installation, the shadow of the audience will turn into a monster. The monster is completely controlled by the audience, and what the monster will react to depends on the audience. The subconscious evil of human nature is entirely exposed.

La fabrique des monstres

Daniele Ghisi (IT)

How can a machine learn to produce music? A concept album of generative music, a collection of musical monsters exploring sample-by-sample deep learning generative models, inspired by Mary Shelley’s Frankenstein and used in Jean François Peyret’s eponymous theatrical piece.