Medialab

Kai Wu Studio

Winter 2021

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Li Dan

Denoise

In computer graphics, noise reduction has become part of the never-ending quest to make 3D renderings more lifelike. This is closely related to the computing power of the chips themselves, and chip production involves a physical noise reduction process in which useless sand is removed from the clean room and useful sand is refined into silicon that can be used in the chips. If noise is seen as useless in the broad sense, as an element that produces interference, then the definition and removal of noise are manifestations of power and capital.

In Denoise, Li Dan captures noise from different platforms and media and collects groups, sounds, and events that are currently being denoised, seeking out interlocking threads and commonalities among them. The video essay Denoise presents this process, and Li’s narration allows viewers to follow her train of thought and gradually explore different states of noise.

In the space, yellow light is used to simulate the environment of a clean room. The gauze reflects tiny points of light, while also suggesting various noises that cannot be overlooked. A similar kind of gaze is concealed behind images such as satellite maps that seem fractured from being constantly scaled, bright red dust trails marked on satellite cloud maps, and Etles silk patterns that resemble ripple noise. This gaze, like the meticulously designed airflow in a clean room, constantly brushes past us.

Denoise was presented from 12 March to 22 May in Times Rose Garden III, Huangbian North Road, Baiyun Avenue. Exit C, Huangbian Station, Guangzhou Metro Line 2. , tm Side,1F Guangdong Times Museum.

Download the publication of Denoise

About Kai Wu Studio

Kai Wu Studio, jointly initiated by the Media Lab and the Research Network for Philosophy and Technology, is an interdisciplinary program that supports artistic innovation. There will be two editions per year, during which time participants will receive three months of studio time, as well as artwork funding. Every participant will be provided with appropriate interdisciplinary collaborators, theoretical and technical support, flexible studio space, and basic technical equipment. The chosen participants are devoted to breaking down existing disciplinary frameworks, activating traditional technologies or finding opportunities for new technologies, developing value exchange models for all things, reflecting on anthropocentric creation, and providing alternative visions and proposals for the digital future.

Curators: Jianru Wu, Guo Yun

Collaborative Networks:
New media art production partner: Shanghai Helu Expo Culture Communication Co., Ltd.
Guangdong-Hong Kong-Macao Greater Bay Area International Communication Research Center of Sun Yat-sen University
Research Center for Science and Human Imagination, Southern University of Science and Technology
CUHK (Shen Zhen) University Arts Centre
Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS)
HKUST (Guangzhou) Computational Media and Arts

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