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

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

This book is an ideal and practical resource on the potential impact Artificial Intelligence (AI) can have in space sciences and applications. AI for Space Application presents a hands-on approach to browse in the subject and to learning how to do. AI is not yet fully accepted as a pervasive technology in space applications because they are often mission-critical and the cost of space equipment and modules raises skepticism on any practical use and reliability. However, it is evident that its potential impact on many aspects is dramatic. Starting from either actual or experimental realizations, the book accompanies the reader through such fascinating subjects like space exploration, autonomous navigation and landing, rover control and guidance on rough surfaces, image analysis automation for planet or star classification, and for space debris avoidance without human intervention. This kind of approach may facilitate further investigations on the same or similar subjects, as the future of space explorations is going toward adopting AI. The intended audience of the book are researchers from academia and space industries and practitioners in related start-ups.

Can future (AI) control communication systems be developed to be applied to automated test any spacecraft flight systems to ensure which are safe to leave earth to fly to space? Is (AI) automated system testing tool more accurate to achieve the testing safe measurement result to reduce the space flight risk than human testing effort? To answer these questions, scientists need to attempt to compare (AI) testing system and human effort to test many times of spacecraft flights in order to confirm whether (AI) testing system will be more accurate than human effort testing to every spacecraft equipment before it will fly to space. Thus, (AI) space auto control system scientists have responsibility to attempt to do many times of experiments to ensure their (AI) auto control space robots can be safe and efficient and effective to be used by the space people in any space environment. Fourthly, in autonomous space exploration problem solution aspect, when a spacecraft encountered a somewhat unique problem as it moves further and further from earth. The increasing distance makes it take from ground-based controllers. As such, a spacecraft that will be any significant distance from earth most have some problems need to be able take collision avoidance actions and to reestablish communications with earth should they are lost. The use of (AI) autonomous technologies started with meeting these basic requirements and performing actions ( such as docking), which required too much. However, (AI) technology will have possible to be implemented because it can make missions better and less expensive. When, (AI) technology is participated to solve any unpredictable challenges when any a spacecraft leaves our earth to fly to space for future mission plans. It is likely the future existing space site networks will expand and some of which may be in remote locations. As such, there is an even greater need for (AI) automated challenge solution technology to facilities the operation of these various space stations within budget.

In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.