Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Deep Bore
2021 (English)Artistic output (Unrefereed)
Resource type
Mixed material
Physical description [en]

EMMA 2w laser, raised flooring, server box, PLA 3D printed GAN-generated objects, custom web browser and 4K application

Description [en]

Solo show at Cattle Depot Artist village in Hong Kong from October 02 - November 05 2021.

Abstract [en]

DEEP BORE revolves around a data center raised flooring formation that operates as a stage to view a live-generated, never-ending borehole projected onto the floor. The hole is perpetually digging through to a virtual environment that acts as a liminal space, or bridge, between the physical site of the gallery, its surrounding environment, and a realm of virtual and real-time content. This includes live browser updates to the Reddit homepage, GAN-generated objects and images from a GAN trained on tools and technologies throughout human history, and other items that materialise, float, and fall into the void on the screen.

The installation is interested in drawing a spontaneous environment that allows viewers to enter through interfaces that are site specific rather than the normal screen space we encounter on a daily basis. The visual material reflects the remnants of human technological production, prehistoric caves, and rare-earth mining tunnels. There is a direct reference to data mining, crypto mining, and data centers that have sprung up around the world. The installation creates a space of reflection on the intangible data-points, machine learning algorithms, clouds, and rendered objects we often encounter, touching on their real world presence and effect on the environment, consciousness, and culture.

Place, publisher, year, pages
Hong Kong, 2021.
Publication channel
No.8 Cattle Depot, Hong Kong
Keywords [en]
Artificial Intelligence, AI, Video Art
National Category
Artificial Intelligence Visual Arts
Research subject
Artistic research
Identifiers
URN: urn:nbn:se:umu:diva-234574OAI: oai:DiVA.org:umu-234574DiVA, id: diva2:1931037
Available from: 2025-01-24 Created: 2025-01-24 Last updated: 2025-02-21Bibliographically approved

Open Access in DiVA

Photo of installation(2868 kB)0 downloads
File information
File name IMAGE01.jpgFile size 2868 kBChecksum SHA-512
b44ef04fdfdb739092a62d14636b15eb7ddc427c3a85aeb1c1d2b8313b68962740eabe53d651ac3a37513a891f8dc8883a532c4aec0151c42af3864835a21d35
Type imageMimetype image/jpeg

Other links

Exhibition information

Authority records

Shanken, Daniel

Search in DiVA

By author/editor
Shanken, Daniel
Artificial IntelligenceVisual Arts

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 28 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf