This textbook offers an accessible introduction to the historical, technical, and strategic context of global cyber conflict. The second edition has been revised and updated throughout, with three new chapters. Cyber warfare involves issues of doctrine, strategy, policy, international relations (IR) and operational practice associated with computer network attack, computer network exploitation and computer network defense. However, it is conducted within complex sociopolitical settings alongside related forms of digital contestation. This book provides students with a comprehensive perspective on the technical, strategic and policy issues associated with cyber conflict, as well as an introduction to key state and non-state actors. Specifically, the book provides a comprehensive overview of several key issue areas: The historical context of the emergence and evolution of cyber warfare, including the basic characteristics and methods of computer network attack, exploitation and defense An interdisciplinary set of theoretical perspectives on conflict in the digital age from the point of view of the fields of IR, security studies, psychology and science, technology and society (STS) studies Current national perspectives, policies, doctrines and strategies relevant to cyber warfare An examination of key challenges in international law, norm development and deterrence; and The role of emerging information technologies like artificial intelligence and quantum computing in shaping the dynamics of global cyber conflict This textbook will be essential reading for students of cybersecurity/cyber conflict and information warfare, and highly recommended for students of intelligence studies, security and strategic studies, defense policy, and IR in general.

This book contains detailed lecture notes on six topics at the forefront of current research in numerical analysis and applied mathematics. Each set of notes presents a self-contained guide to a current research area and has an extensive bibliography. In addition, most of the notes contain detailed proofs of the key results. The notes start from a level suitable for first year graduate students in applied mathematics, mathematical analysis or numerical analysis, and proceed to current research topics. The reader should therefore be able to gain quickly an insight into the important results and techniques in each area without recourse to the large research literature. Current (unsolved) problems are also described and directions for future research are given. This book is also suitable for professional mathematicians who require a succinct and accurate account of recent research in areas parallel to their own, and graduates in mathematical sciences.

This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets, and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology.

While plenty of educational material exists for beginning and advanced JavaScript developers, resources for intermediate-level engineers are scarce. Yet this is the career step where many developers often get stuck. With this practical book, you'll learn how to apply JavaScript theory in real projects, manage every stage of the software development lifecycle, and move your career forward. Author Milecia McGregor takes frontend, backend, and full stack engineers through all of the steps and considerations of senior JavaScript engineers, including making decisions based on product and user feedback. By the time you finish this book, you'll know how to create a production-level app for any size system you face. Understand how JavaScript works under the hood, including how a real software development lifecycle works Learn how to make decisions when building a long-term maintainable JavaScript project Explore the software development lifecycle from project ideation to production deployment with JavaScript code Gain a better understanding of complex JavaScript issues such as closures, generators, and the event loop Learn when you should take specific approaches to keep a project moving on the technical side

This book highlights the role that national culture plays in shaping the emergent relationship between IT and organizations. It also shows the mechanisms through which national culture influences IT use. Although a number of studies have investigated relationships between IT and organizations, relatively few studies have conducted international comparisons on the theme, and even fewer have focussed on national culture in their analytical framework.

This book looks at the history of computing in education from two points of view - as a history of the impact of computing on education over the past forty years and as the use of the history of computing as a pedagogical tool in computing education. These two intertwined views look back at computer education and the ways in which organizations have attempted to use computers to enhance teaching and learning from elementary education through university studies in several countries. The topics include: considerations of cybernetics and informatics; government sponsored open source software for school education; learning with the artificial sciences; technology leading to historic changes; ICT in Catalan schools; streams in the history of computer education in Australia; growth of computing technology for education in India; computing and education in the UK; evolution of e-inclusion for the disabled; educational hypermedia computing; keyboard training; studies of educational computing projects; and using computing history to enhance teaching. History of Computing in Education is unique in its topic, the field having not been the subject of extensive study in the past. the impact of computing on education is only now receiving due attention. This book derives from contributions made at the History of Computing in Education conference at the IFIP 18th World Computer Congress, held in August 2004 in Toulouse, France and sponsored by the International Federation for Information Processing (IFIP). Teachers, students, researchers, authors, and education developers should find this work as a welcome addition to their educational repertoire. It will also provide new dimensions of breadth and depth in the evolution of computing in education.

Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters.