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Spatial Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology)

By: Fivos Papadimitriou (Author)

Extended Catalogue

Ksh 10,250.00

Format: Paperback or Softback

ISBN-10: 3031821351

ISBN-13: 9783031821356

Collection / Series: SpringerBriefs in Applied Sciences and Technology

Collection Type: Publisher collection

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 9th, 2025

Publication Status: Active

Product extent: 98 Pages

Product Classification / Subject(s): Mathematical theory of computation
Artificial intelligence

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This is the first book that focuses on the full range of spatial aspects of Artificial Intelligence. Spatial AI is defined here as- AI that is generated from spatial data, or- AI that is used for spatial analysis and spatial problem-solving, or- AI that is embedded in spatial (physical and/or digital) domains. The reader is presented with a comprehensive exploration of the rise of Spatial AI in the last decades, its applications in spatial analysis and its relationships with GeoAI, Evolutionary AI and Spatial Computing. With chapters addressing the spatial aspects of AI in the context of GenAI, AR, robotics, digital twins etc, it is a valuable resource for those who seek to explore the immense potential of Spatial AI, its possible limitations in terms of energy and computability, as well as its future prospects towards spatially-enabled AGI and Artificial Super-Intelligence.

This is the first book that focuses on the full range of spatial aspects of Artificial Intelligence.

Spatial AI is defined here as

- AI that is generated from spatial data, or

- AI that is used for spatial analysis and spatial problem-solving, or

- AI that is embedded in spatial (physical and/or digital) domains.

The reader is presented with a comprehensive exploration of the rise of Spatial AI in the last decades, its applications in spatial analysis and its relationships with GeoAI, Evolutionary AI and Spatial Computing.

With chapters addressing the spatial aspects of AI in the context of GenAI, AR, robotics, digital twins etc, it is a valuable resource for those who seek to explore the immense potential of Spatial AI, its possible limitations in terms of energy and computability, as well as its future prospects towards spatially-enabled AGI and Artificial Super-Intelligence.


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