farket
Installation + Public Art January 7, 2020
B- INFO
Type
Installation + Public Art

Technology
Machine Learning

Date
January 7, 2020 - January 10, 2020

Location
Las Vegas, Nevada
Credits

Refik Anadol
Nicholas Boss
Efsun Erkilic
Carrie He
Toby Heinemann
Kerim Karaoglu
Kian Khiaban
Pelin Kivrak
Ho Man Leung
Alex Morosov
Christina Moushoul
Raman Mustafa
Julia Pryde Thompson
HyeJi Yang


Specs

Presented at CES


Expand
C- Concept

At its core the function and future of the city is one related to the convergence of connectivity, resources, and accessibility. Connectivity within a city can mean many things, from the design of the physical urban landscape to accessibility within that domain, to the ways that new forms of technology augment a sense of connection and collectivity by bridging social divides. New York City as an iconic paradigmatic graded city offers a fitting form within which to contextualize and re-imagine this narrative. Through the lens of technologies produced by intel, Future of the City, understands data in this context as both a way to better comprehend an existing archetype, as well as imagine its possible future iterations. By layering four distinct data paintings driven by four respective intel data sets within the context of a near-future cityscape, we are able to explore the interwoven power of these technologies to profoundly affect the human experience. At the micro level, data from groups such as autonomous vehicles can tell us about traffic patters, while at the macro level, data from groups such as autonomous vehicles can tell us more about traffic patterns, while at the macros level, data from technologies related to 5G may offer a view into the omnipresent, but invisible flows of information that exist. Investigated separately and ultimately together, through the mind of a machine, Future of the City, offers another vantage point to appreciate those connections which make up our sense of place.

C1
C2
D- Data 
D1
D3
E- Drawings
F- Photographs
F2


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