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

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.

Artificial Intelligence will either be the best or worst thing to happen to humanity. We do not yet know which. – Stephen Hawking As AI becomes more pervasive in every aspect of human life, there is an urgent need to understand it and harness it in a way that benefits mankind. But where do we begin? Will AI Dictate the Future breaks down this complex subject by examining AI’s impact on key sectors of our societies. Each chapter delves into one sector in turn, probing the myriad risks and opportunities brought about by AI: Healthcare Law Manufacturing Cybersecurity Mobility Financial Services Education Satellite Systems Government Written by Dr Anton Ravindran, together with chapters contributed by leading experts in their fields, this invaluable book provides a clear, comprehensive and authoritative look at how AI – managed wisely – can change the world for the better.

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.

"This book provides up-to-date knowledge of space debris and valuable insights on how to grapple with this issue from legal, technical, economical and societal aspects. I would strongly recommend that everyone who is working on space development and utilizations and even non-specialists once read this book and think over how human being should be faced with this issue." –Prof. Shinichi Nakasuka, University of Tokyo, Japan Space Debris Peril: Pathways to Opportunities takes readers through the wide spectrum of problems created by space debris – including technical, political, legal and socio-economical aspects – and suggests ways to mitigate its negative consequences and create new opportunities. With chapter contributions from authors at world-renowned universities, private or public entities, and research institutes active in the field of space debris mitigation, space policy and law, risk and resilience, liability and insurance, this book provides a comprehensive introduction to the subject helping the reader to grasp the whole picture of the current space debris remediation challenges. This book will be of interest to the scientific communities, policy makers, business developers, (re)insurers and international standards developers for space operations and orbital debris mitigation. Also, it should appeal to a broader audience among non-specialists in various sectors and the general public. Key features: Brings together interdisciplinary perspectives on the topic in one, cohesive book Chapter contributions from specialists in this interdisciplinary field from around the globe Up-to-date information with the latest developments

The field of Artificial Intelligence (AI) was initially directly aimed at the construction of ‘thinking machines’ – that is, computer systems with human-like general intelligence. But this task proved more difficult than expected. As the years passed, AI researchers gradually shifted focus to producing AI systems that intelligently approached specific tasks in relatively narrow domains. In recent years, however, more and more AI researchers have recognized the necessity – and the feasibility – of returning to the original goal of the field. Increasingly, there is a call to focus less on highly specialized ‘narrow AI’ problem solving systems, and more on confronting the difficult issues involved in creating ‘human-level intelligence’, and ultimately general intelligence that goes beyond the human level in various ways. Artificial General Intelligence (AGI), as this renewed focus has come to be called, attempts to study and reproduce intelligence as a whole in a domain independent way. Encouraged by the recent success of several smaller-scale AGI-related meetings and special tracks at conferences, the initiative to organize the very first international conference on AGI was taken, with the goal to give researchers in the field an opportunity to present relevant research results and to exchange ideas on topics of common interest. In this collection you will find the conference papers: full-length papers, short position statements and also the papers presented in the post conference workshop on the sociocultural, ethical and futurological implications of AGI.