Madi M Artificial Intelligence for Space AI4SPACE 2023 | 192.58 MB
Title: Artificial Intelligence for Space: AI4SPACE: Trends, Applications, and Perspectives
Author: Matteo Madi
Description:
The new age space value chain is a complex interconnected system with diverse actors, which involves cross-sector and cross-border collaborations. This book helps to enrich the knowledge of Artificial Intelligence (AI) across the value chain in the space-related domains. Advancements of AI and Machine Learning have impactfully supported the space sector transformation as it is shown in the book.
"This book embarks on a journey through the fascinating realm of AI in space, exploring its profound implications, emerging trends, and transformative potential."
Prof. Dr. Oliver Ullrich – Director Innovation Cluster Space and Aviaton (UZH Space Hub), University of Zurich, Switzerland
Aimed at space engineers, risk analysts, policy makers, technical experts and non-specialists, this book demonstrates insights into the implementation of AI in the space sector, alongside its limitations and use-case examples. It covers diverse AI-related topics applicable to space technologies or space big data such as AI-based technologies for improving Earth Observation big data, AI for space robotics exploration, AI for astrophysics, AI for emerging in-orbit servicing market, and AI for space tourism safety improvement.
Key Features:
The new age space value chain is a complex interconnected system with diverse actors, which involves cross-sector and cross-border collaborations. This book helps to enrich the knowledge of Artificial Intelligence (AI) across the value chain in the space-related domains. Advancements of AI and Machine Learning have impactfully supported the space sector transformation as it is shown in the book.
"This book embarks on a journey through the fascinating realm of AI in space, exploring its profound implications, emerging trends, and transformative potential."
Prof. Dr. Oliver Ullrich – Director Innovation Cluster Space and Aviaton (UZH Space Hub), University of Zurich, Switzerland
Aimed at space engineers, risk analysts, policy makers, technical experts and non-specialists, this book demonstrates insights into the implementation of AI in the space sector, alongside its limitations and use-case examples. It covers diverse AI-related topics applicable to space technologies or space big data such as AI-based technologies for improving Earth Observation big data, AI for space robotics exploration, AI for astrophysics, AI for emerging in-orbit servicing market, and AI for space tourism safety improvement.
Key Features:
- Provides an interdisciplinary approach, with chapter contributions from expert teams working in the governmental or private space sectors, with valuable contributions from computer scientists and legal experts
- Presents insights into AI implementation and how to unlock AI technologies in the field
- Up-to-date with the latest developments and cutting-edge applications
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