| 000 | 01992nmm a22002897a 4500 | ||
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| 003 | ES-BaAUN | ||
| 005 | 20230518152052.0 | ||
| 008 | 221102b ||| |o||j| 00| 0 eng d | ||
| 022 | _a2575-5374 | ||
| 040 |
_aES-BaAUN _beng _cES-BaAUN |
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| 100 | 1 |
_aSafieddine, Firas _eauthor. |
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| 245 | 1 | 1 | _aEmergent Topographies |
| 260 | 3 |
_burbanNext, _cFebruary 09, 2021. |
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| 300 | _a2233 words. | ||
| 500 | _aEssay, Firas Safieddine, No Density, Senseable Technologies, Technology and fabrication | ||
| 501 | _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 | ||
| 504 | _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. | ||
| 520 | _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. | ||
| 653 | _aArchitecture | ||
| 653 | _aVideo installation | ||
| 653 | _aCollaborative digital artwork | ||
| 653 | _aGeodata and biodata | ||
| 653 | _aArtificial intelligence | ||
| 653 | _aAI | ||
| 856 | 4 | 0 |
_uhttps://urbannext.net/emergent-topographies/ _zAccess to info |
| 942 |
_2ddc _cCF _n0 |
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| 999 |
_c2698 _d2698 |
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