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Books > Computing & IT > General
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.
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