02088nmm a22003017a 4500003000900000005001700009008004100026022001400067040002800081100003200109245002600141260003500167300001600202500009300218501034800311504020100659520060700860653001701467653002401484653003501508653002501543653002901568653000701597856006501604942001501669999001501684952008701699ES-BaAUN20230518152052.0221102b        |||    |o||j| 00| 0 eng d  a2575-5374  aES-BaAUNbengcES-BaAUN1 aSafieddine, Firas eauthor.11aEmergent Topographies3 burbanNext,cFebruary 09, 2021.  a2233 words.  aEssay, Firas Safieddine, No Density, Senseable Technologies, Technology and fabrication	  aAesthetic, 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	  aEmergent 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.
  aThrough 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.  aArchitecture  aVideo installation   aCollaborative digital artwork   aGeodata and biodata   aArtificial intelligence   aAI40uhttps://urbannext.net/emergent-topographies/zAccess to info  2ddccCFn0  c2698d2698  00102ddc4070a9876543210b9876543210d2023-05-18l0r2023-05-18w2023-05-18yCF