■ Data Distorted(Series #1) Introduction
 

Bae, Jaehyuck(Artist) × Lee, Seung Ah(Scientist)

From the Machine
2023, robotic arm, display, glass, metal structure, PC, Variable installation
Image generation_Cho, Youngkak

■ About

Through the XR Lab, the Ulsan Art Museum has contemplated the role of a laboratory in which researchers of novel technologies share knowledge and insights and engage in creative art experiments. In the present day, diverse engineering technologies, including AI, are expanding into the domain of artistic creation, and the museum is therefore considering the possibility of a new, interdisciplinary genre of art that does not simply utilize engineering technologies as methods of art creation.

For its first project, the Ulsan Art Museum is collaborating with Digital Silence team to hold Data Distorted. Digital Silence comprises new media artists, Yonsei University engineers, and art theorists. A collaborative project between art and engineering experts, the group has held seminars since 2020. The Ulsan Art Museum XR Lab x Digital Silence collaborative exhibition comprises expanded lumino kinetics/animated installations/site-specific immersive installation work that utilize lensless cameras/reverse neural network algorithm/attention mechanisms. From March to August, the XR Lab will showcase the series of installation the above one by one.

From the Machine, created by Bae, Jaehyuck (teamVOID) and Lee, Seung Ah, apply visual noise, which has generally been considered to be interference in the system, to reveal the expanded interpretive process of machines. Han, Yoon Chung and Kim, Seong-Lyun’s Plastic Landscape-The Reversible World harnesses reverse neural network algorithm to promote climate awareness through microplastic landscapes. Ji, Haru (Artificial Nature) and Chae, Chan-Byoung’s Entanglement uses attention mechanisms based on fungal neural networks to develop an artificial ecosystem that represents the simultaneous, entwining relationship formations that occur in nature.

Data Distorted represents the engineering potentials of Digital Silence, where dropping, mutations, and errors that occur in the process of mainpulating algorithm can lead to unexpected but optimal results. This suggests that such result happening in distorted digital side is rather convergent (like a Mobius strip), than binary division such as positive vs. negative functions and perfection vs. imperfection.