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Books > Computing & IT
Emerging scientific and industrial applications in today's world
require significant computing power. Modern software tools are
available for such platforms but are relatively complex and require
the use of innovative programming models. One promising area in
modern software design is the development, analysis, and
implementation of algorithms and adaptive methods. These
advancements in programming are promising but lack relevant
research and understanding. Formal and Adaptive Methods for
Automation of Parallel Programs Construction: Emerging Research and
Opportunities is an essential reference source that solves the
problem of the development of efficient models, methods, and tools
for parallel programming automation based on the algebra of
algorithms, term rewriting, and auto-tuning paradigms. The results
of this book will help to further develop and improve existing
research on design, synthesis, and optimization of sequential and
parallel algorithms and programs. Featuring research on topics such
as auto-tuning methods, graphics processing, and algorithmic
language, this book is ideally designed for mathematicians,
software engineers, data scientists, researchers, academicians, and
students seeking coverage on developing tools for automated design
and parallel programs.
There is no doubt that there has been much excitement regarding the
pioneering contributions of artificial intelligence (AI), the
internet of things (IoT), and blockchain technologies and tools in
visualizing and realizing smarter as well as sophisticated systems
and services. However, researchers are being bombarded with various
machine and deep learning algorithms, which are categorized as a
part and parcel of the enigmatic AI discipline. The knowledge
discovered gets disseminated to actuators and other concerned
systems in order to empower them to intelligently plan and
insightfully execute appropriate tasks with clarity and confidence.
The IoT processes in conjunction with the AI algorithms and
blockchain technology are bound to lay out a stimulating foundation
for producing and sustaining smarter systems for society. The
Handbook of Research on Smarter and Secure Industrial Applications
Using AI, IoT, and Blockchain Technology articulates and
accentuates various AI algorithms, fresh innovations in the IoT,
and blockchain spaces. The domain of transforming raw data to
information and to relevant knowledge is gaining prominence with
the availability of data ingestion, processing, mining, analytics
algorithms, platforms, frameworks, and other accelerators. Covering
topics such as blockchain applications, Industry 4.0, and
cryptography, this book serves as a comprehensive guide for AI
researchers, faculty members, IT professionals, academicians,
students, researchers, and industry professionals.
The internet of things (IoT) revolution has given rise to smart
cities and villages all over the world. With technology
advancements such as cloud computing, fog computing, and
software-defined networking, it is necessary to examine ways that
these environments can implement innovation for cost-effective
citizen services and e-governance. Also, as cyber-physical systems
are becoming more vulnerable with IoT attacks threatening their
security and privacy, there is an even greater need for solutions
that offer protection for all of these advancing technologies. The
Handbook of Research on Implementation and Deployment of IoT
Projects in Smart Cities is an essential research publication that
combines theory and practice, reflecting on advancing technologies
for the automation, protection, and sustainability of urban
environments. Highlighting a wide range of topics such as
blockchain, smart grid, and sustainability, this book is ideal for
researchers, academicians, scientists, engineers, programmers, IT
consultants, professionals, and policymakers.
Edward Snowden, the man who risked everything to expose the US government’s system of mass surveillance, reveals for the first time the story of his life, including how he helped to build that system and what motivated him to try to bring it down.
In 2013, twenty-nine-year-old Edward Snowden shocked the world when he broke with the American intelligence establishment and revealed that the United States government was secretly pursuing the means to collect every single phone call, text message, and email. The result would be an unprecedented system of mass surveillance with the ability to pry into the private lives of every person on earth. Six years later, Snowden reveals for the very first time how he helped to build this system and why he was moved to expose it.
Spanning the bucolic Beltway suburbs of his childhood and the clandestine CIA and NSA postings of his adulthood, Permanent Record is the extraordinary account of a bright young man who grew up online – a man who became a spy, a whistleblower, and, in exile, the Internet’s conscience. Written with wit, grace, passion, and an unflinching candor, Permanent Record is a crucial memoir of our digital age and destined to be a classic.
In recent years, artificial intelligence (AI) has drawn significant
attention with respect to its applications in several scientific
fields, varying from big data handling to medical diagnosis. A
tremendous transformation has taken place with the emerging
application of AI. AI can provide a wide range of solutions to
address many challenges in civil engineering. Artificial
Intelligence and Machine Learning Techniques for Civil Engineering
highlights the latest technologies and applications of AI in
structural engineering, transportation engineering, geotechnical
engineering, and more. It features a collection of innovative
research on the methods and implementation of AI and machine
learning in multiple facets of civil engineering. Covering topics
such as damage inspection, safety risk management, and information
modeling, this premier reference source is an essential resource
for engineers, government officials, business leaders and
executives, construction managers, students and faculty of higher
education, librarians, researchers, and academicians.
By specializing in a vertical market, companies can better
understand their customers and bring more insight to clients in
order to become an integral part of their businesses. This approach
requires dedicated tools, which is where artificial intelligence
(AI) and machine learning (ML) will play a major role. By adopting
AI software and services, businesses can create predictive
strategies, enhance their capabilities, better interact with
customers, and streamline their business processes. This edited
book explores novel concepts and cutting-edge research and
developments towards designing these fully automated advanced
digital systems. Fostered by technological advances in artificial
intelligence and machine learning, such systems potentially have a
wide range of applications in robotics, human computing, sensing
and networking. The chapters focus on models and theoretical
approaches to guarantee automation in large multi-scale
implementations of AI and ML systems; protocol designs to ensure AI
systems meet key requirements for future services such as latency;
and optimisation algorithms to leverage the trusted distributed and
efficient complex architectures. The book is of interest to
researchers, scientists, and engineers working in the fields of
ICTs, networking, AI, ML, signal processing, HCI, robotics and
sensing. It could also be used as supplementary material for
courses on AI, machine and deep learning, ICTs, networking signal
processing, robotics and sensing.
Most technologies have been harnessed to enable educators to
conduct their business remotely. However, the social context of
technology as a mediating factor needs to be examined to address
the perceptions of barriers to learning due to the lack of social
interaction between a teacher and a learner in such a setting.
Developing Technology Mediation in Learning Environments is an
essential reference source that widens the scene of STEM education
with an all-encompassing approach to technology-mediated learning,
establishing a context for technology as a mediating factor in
education. Featuring research on topics such as distance education,
digital storytelling, and mobile learning, this book is ideally
designed for teachers, IT consultants, educational software
developers, researchers, administrators, and professionals seeking
coverage on developing digital skills and professional knowledge
using technology.
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Principles of Security and Trust
- 7th International Conference, POST 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Thessaloniki, Greece, April 14-20, 2018, Proceedings
(Hardcover)
Lujo Bauer, Ralf Kusters
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R1,673
Discovery Miles 16 730
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Ships in 10 - 15 working days
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Due to the growing prevalence of artificial intelligence
technologies, schools, museums, and art galleries will need to
change traditional ways of working and conventional thought
processes to fully embrace their potential. Integrating virtual and
augmented reality technologies and wearable devices into these
fields can promote higher engagement in an increasingly digital
world. Virtual and Augmented Reality in Education, Art, and Museums
is an essential research book that explores the strategic role and
use of virtual and augmented reality in shaping visitor experiences
at art galleries and museums and their ability to enhance
education. Highlighting a range of topics such as online learning,
digital heritage, and gaming, this book is ideal for museum
directors, tour developers, educational software designers, 3D
artists, designers, curators, preservationists, conservationists,
education coordinators, academicians, researchers, and students.
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