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Emergent Topographies

By: Material type: Computer fileComputer filePublication details: urbanNext, February 09, 2021.Description: 2233 wordsISSN:
  • 2575-5374
Subject(s): Online resources: Summary: Through a very wide lens, Emergent Topographies is a video installation and a collaborative digital artwork that deals with current clinical elements of the spatiotemporal ecosystem of data objects, topographically demonstrated through geodata and biodata examined by artificial intelligence. The artwork explores the artistic applications of artificial intelligence, specifically using a generative adversarial network (GAN). The data that is generated is ultimately illustrated using an agent-based behavioral algorithm to visualize the morphing behavior using the mapping aesthetic of a connectome.
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Item type Current library Call number Status Date due Barcode
Computer Files Computer Files urbanNext-Actar Available

Essay, Firas Safieddine, No Density, Senseable Technologies, Technology and fabrication

Aesthetic, Algorithms, Artificial intelligence, Coding, Data, Digital technologies, Dynamic processes, Essay, Information, Information machine, Information Technologies, Interaction, Mapping, Model, Mutations, Network, Neuroscience, Programmatic coexistences, Sensors, Smart tool, Technologies, Territorial Approach, Topography, Visualization

Emergent Topographies is a collaborative work by Firas Safieddine and Yasser Sinjab and was a winning project at the AI Artathon. It was recently showcased at the Global AI Summit in Riyadh, KSA.

Through a very wide lens, Emergent Topographies is a video installation and a collaborative digital artwork that deals with current clinical elements of the spatiotemporal ecosystem of data objects, topographically demonstrated through geodata and biodata examined by artificial intelligence.

The artwork explores the artistic applications of artificial intelligence, specifically using a generative adversarial network (GAN). The data that is generated is ultimately illustrated using an agent-based behavioral algorithm to visualize the morphing behavior using the mapping aesthetic of a connectome.

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