Name: Spatial Artificial Intelligence
Price: 133.28 NZD
Availability: InStock
Author: Fivos Papadimitriou
ISBN: 9783031821356

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Fivos Papadimitriou

Collection

SpringerBriefs in Applied Sciences and Technology

Year

2025

Pages

Format

Paperback

Dimensions

23.50 x 15.50 cm

ISBN13

9783031821356

Spatial Artificial Intelligence

Fivos Papadimitriou (Author) · Springer International Publishing AG · Paperback

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Synopsis "Spatial Artificial 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.

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.