Introduction / Olga Sokolova -- Selected trends in artificial intelligence for space applications / Dario Izzo, Gabriele Meoni, Pablo Gomez, Dominik Dold , and Alexander Zoechbauer -- Space systems, quantum computers, big data and sustainability / Joseph N. Pelton and Scott Madry -- Neuromorphic computing and sensing in space / Dario Izzo, Alexander Hadjiivanov, Dominik Dold, Gabriele Meoni , and Emmanuel Blazquez -- Artificial intelligence for spacecraft location estimation based on craters / Keiki Takadama, Fumito Uwano, Yuka Waragai, Iko Nakari, Hiroyuki Kamata, Takayuki Ishida, Seisuke Fukuda, Shujiro Sawai, and Shinichiro Sakai -- Artificial intelligence for space weather forecasting / Enrico Camporeale -- Using unsupervised ML to make new discoveries in space data / Giovanni Lapenta, Francesco Califano, Romain Dupuis, Maria Elena Innocenti, and Giorgio Pedrazzi -- Harnessing AI technologies for sustainable space missions : legal perspectives / Steven Freeland and Anne-Sophie Martin -- Future-ready space missions enabled by end-toend AI adoption / Lorenzo Feruglio, Alessandro Benetton, Mattia Varile, Davide Vittori, Ilaria Bloise, Riccardo Maderna, Christian Cardenio, Paolo Madonia, Francesco Rossi, Federica Paganelli Azza, Pietro De Marchi, Luca Romanelli, Matteo Stoisa, Luca Manca, Gianluca Campagna, Armando La Rocca -- Commercial space exploration assisted by AI / Anousheh Ansari and Jim Mainard.
Summary:
"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. mult. Dr.med. Dr.rer.nat. 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"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.