Full metadata record
DC Field | Value | Language |
---|---|---|
dc.creator | Toland, A. (Andrew) | - |
dc.date.accessioned | 2019-09-13T08:46:09Z | - |
dc.date.available | 2019-09-13T08:46:09Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Toland, A. (Andrew). "The Learning Machine and the Spaceship in the Garden. AI and the design of planetary 'nature'". Ra. Revista de Arquitectura. 20, 2018, 216 - 227 | es |
dc.identifier.issn | 1138-5596 | - |
dc.identifier.uri | https://hdl.handle.net/10171/58091 | - |
dc.description.abstract | Planetary-scale artificial intelligence systems are increasingly being promoted by technology companies in the forms of projects such as Microsoft’s “AI for Earth” and Google’s “Earth Engine”. This article interrogates some of the conceptual dimensions and history of the “dashboard” approach to the management of “spaceship earth” within art, architecture and landscape architecture, and considers the implications of the increasingly entangled “design” work that brings together nature as data, machine learning, robotics and autonomous technologies. | - |
dc.language.iso | spa | - |
dc.publisher | Servicio de Publicaciones de la Universidad de Navarra | - |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.subject | Architecture and Technology | - |
dc.subject | Architecture and Robotics | - |
dc.subject | Architecture and Artificial Intelligence | - |
dc.subject | Landscape Architecture and Remote Sensing | - |
dc.subject | Landscape Architecture and the Global Environment | - |
dc.title | The Learning Machine and the Spaceship in the Garden. AI and the design of planetary 'nature' | - |
dc.type | info:eu-repo/semantics/article | - |
dc.identifier.doi | 10.15581/014.20.216-227 | - |
dadun.citation.endingPage | 227 | - |
dadun.citation.publicationName | Ra. Revista de Arquitectura | - |
dadun.citation.startingPage | 216 | - |
dadun.citation.volume | 20 | - |
dc.date.updated | 2019-09-13T08:46:09Z | - |
dc.description.version | Peer Reviewed | - |
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