Books
Discover a curated selection of books on Computer Science available in our library. Here you will find key textbooks, reference materials, and recommended readings to enhance your understanding of Computer Science. Use the search tools to locate specific titles, or browse our collection for inspiration. Happy reading!
A Brief History of Computing by
This lively and fascinating text traces the key developments in computation - from 3000 B.C. to the present day - in an easy-to-follow and concise manner. Topics and features: ideal for self-study, offering many pedagogical features such as chapter-opening key topics, chapter introductions and summaries, exercises, and a glossary; presents detailed information on major figures in computing, such as Boole, Babbage, Shannon, Turing, Zuse and Von Neumann; discusses the earliest computers developed in the United States, Germany and Britain; discusses the development of the IBM 360 family of computers and its importance; discusses the invention of the transistor and integrated circuit; discusses the birth of the software industry and the evolution of human-computer interaction; reviews the history of programming languages, operating systems and software engineering; discusses the progress of artificial intelligence; discusses the invention of the microprocessor and the development of home and personal computers; examines the impact on society of the introduction of the personal computer, the World Wide Web, and the development of mobile phone technology; discusses smart phones and social media and the challenge of fake news; reviews a miscellany of innovations in the computing field such as cloud computing, the Internet of Things, and Quantum Computing; discusses legal aspects of computing and the professional responsibilities of computer professionals.
Computer : a history of the information machine by
Computer: A History of the Information Machine traces the history of the computer and shows how business and government were the first to explore its unlimited, information-processing potential. Old-fashioned entrepreneurship combined with scientific know-how inspired now famous computer engineers to create the technology that became IBM. Wartime needs drove the giant ENIAC, the first fully electronic computer. Later, the PC enabled modes of computing that liberated people from room-sized, mainframe computers. This third edition provides updated analysis on software and computer networking, including new material on the programming profession, social networking, and mobile computing. It expands its focus on the IT industry with fresh discussion on the rise of Google and Facebook as well as how powerful applications are changing the way we work, consume, learn, and socialize.Computer is an insightful look at the pace of technological advancement and the seamless way computers are integrated into the modern world. Through comprehensive history and accessible writing,Computer is perfect for courses on computer history, technology history, and information and society, as well as a range of courses in the fields of computer science, communications, sociology, and management.
Computing Research Survival Manual A Practical Handbook for Beginners by
A survival manual detailing computing research procedure including problem formulation, dataset sources, methodologies, systematic literature review, ethics, trending topics, academic databases and tips for journal publications, all from the perspective of computing.
Digital Literacy: Skills & Strategies by
Aims to introduce users to explanations of cutting-edge, as well as everyday, technology, explaining these technologies and their primary elements through clear prose informed by expert analysis.--
From Mainframes to Smartphones: a history of the international computer industry by
This compact history traces the computer industry from its origins in 1950s mainframes, through the establishment of standards beginning in 1965 and the introduction of personal computing in the 1980s. It concludes with the Internet's explosive growth since 1995. Across these four periods, Martin Campbell-Kelly and Daniel Garcia-Swartz describe the steady trend toward miniaturization and explain its consequences for the bundles of interacting components that make up a computer system. With miniaturization, the price of computation fell and entry into the industry became less costly. Companies supplying different components learned to cooperate even as they competed with other businesses for market share. Simultaneously with miniaturization--and equally consequential--the core of the computer industry shifted from hardware to software and services. Companies that failed to adapt to this trend were left behind. Governments did not turn a blind eye to the activities of entrepreneurs. The U.S. government was the major customer for computers in the early years. Several European governments subsidized private corporations, and Japan fostered R&D in private firms while protecting its domestic market from foreign competition. From Mainframes to Smartphones is international in scope and broad in its purview of this revolutionary industry.
The Internet Is Not What You Think It Is by
No detailed description available for "The Internet Is Not What You Think It Is".
The SAGE handbook of web history by
SummaryThe Web has been with us now for almost 25 years. An integral part of our social, cultural and political lives, 'new media' is simply not that new anymore. Despite the rapidly expanding archives of information at our disposal, and the recent growth of interest in web history as a field of research, the information available to us still far outstrips our understanding of how to interpret it. The SAGE Handbook of Web History marks the first comprehensive review of this subject to date. Its editors emphasise two main different forms of study: the use of the web as an historical resource, and the web as an object of study in its own right. Bringing together all the existing knowledge of the field, with an interdisciplinary focus and an international scope, this is an incomparable resource for researchers and students alike.
Advanced C++ Programming Cookbook by
No detailed description available for "Advanced C++ Programming Cookbook".
Anyone Can Code: The Art and Science of Logical Creativity by
Anyone Can Code: The Art and Science of Logical Creativity introduces computer programming as a way of problem-solving through logical thinking. It uses the notion of modularization as a central lens through which we can make sense of many software concepts. This book takes the reader through fundamental concepts in programming by illustrating them in three different and distinct languages: C/C++, Python, and Javascript. Key features: Focuses on problem-solving and algorithmic thinking instead of programming functions, syntax, and libraries; Includes engaging examples, including video games and visual effects; Provides exercises and reflective questions. This book gives beginner and intermediate learners a strong understanding of what they are doing so that they can do it better and with any other tool or language that they may end up using later.
The C++ Workshop : a new, interactive approach to learning C++ by
No detailed description available for "The C++ Workshop".
The Clojure Workshop: a new, interactive approach to learning Clojure by
Key Features Master the tools and patterns of the Clojure and ClojureScript ecosystems Learn the fundamentals of functional programming and immutability Apply your skills practically by developing a range of scalable applications What you will learn Write idiomatic code with Clojure and ClojureScript Understand and use common patterns and best practices Experiment with code and interact with programs using the REPL Learn the fundamentals of functional programming and immutability Master concepts including mapping, filtering, reducing and recursion Structure and build your code using namespaces and Leiningen Write unit tests to validate application behavior Simplify your code and improve efficiency with macros Who this book is for The Clojure Workshop is for anyone who is curious about functional programming and wants to get started learning Clojure or ClojureScript. Prior experience of another programming language, such as Java or JavaScript, is recommended, and will help you grasp the concepts covered in this book more easily.]]>
Code : the hidden language of computer hardware and software by
The classic guide to how computers work, updated with new chapters and interactive graphics "For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think." - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution.
Coderspeak: the language of computer programmers by
Coderspeak delves into the hidden world of software development, offering a combined anthropological and technical approach that explores the coder community's impact on our digital landscape. Software applications have taken over our lives. We use and are used by software many times a day. Nevertheless, we know very little about the invisibly ubiquitous workers who write software. Who are they and how do they perceive their practice? How does that shape how they collaborate to build the myriad of apps that we use every day? And how does that impact the users of apps? Coderspeak provides a critical approach to the digital transformation of our world through an engaging and thoughtful analysis of the people who write software applications. It is a focused and in-depth look at one programming language and its community, Ruby, based on ethnographic research at a London company and conversations with members of the wider Ruby community in Europe, the Americas, and Japan. This book shows that the place where people write code, the language they write it in, and the stories shared by that community are crucial in questioning and unpacking what it means to be a coder. Understanding this social group is essential if we are to grasp a future (and a present) in which computer programming increasingly dominates our lives.
Coding Activities for Building Databases with SQL by
Databases are everywhere, from social media and gaming to finance, government, and healthcare. Wrangling data into an organized and easily accessible form is key to unlocking better entertainment, cures for diseases, and reducing crime in our modern world. Through the colorful, unique activities in this volume, readers will learn how to change the world with data using structured query language or SQL and relational databases. These hands-on projects explore how databases are designed and structured, and how to update, change, and use them for analytics.
Data Structures in Java by
This book is a fast-paced introduction to using data structures with Java. Numerous code samples and listings are included to support myriad topics. The first chapter contains a quick introduction to Java, along with Java code samples to check for leap years, find divisors of a number, and work with arrays of strings. The second chapter introduces recursion and uses code samples to check if a positive number is prime, to find the prime divisors of a positive integer, to calculate the GCD (greatest common divisor) and LCM (lowest common multiple) of a pair of positive integers. The third chapter contains Java code samples involving strings and arrays, such as finding binary substrings of a number, checking if strings contain unique characters, counting bits in a range of numbers, and how to compute XOR without using the XOR function. Chapters 4 through 6 include Java code samples involving search algorithms, concepts in linked lists, and tasks involving linked lists. Finally, Chapter 7 discusses data structures called queues and stacks, along with additional Java code samples. Features: Extensive topics, code samples, and scripts related to data structures Covers strings, arrays, queues, and stacks, linked lists, computing the XOR function, checking for unique characters, and more Includes companion files with code samples from the book (available for downloading from the publisher)
Flowchart and Algorithm Basics: The Art of Programming by
No detailed description available for "Flowchart and Algorithm Basics".
JavaScript for Data Science by
JavaScript is the native language of the Internet. Originally created to make web pages more dynamic, it is now used for software projects of all kinds, including scientific visualization and data services. However, most data scientists have little or no experience with JavaScript, and most introductions to the language are written for people who want to build shopping carts rather than share maps of coral reefs. This book will introduce you to JavaScript's power and idiosyncrasies and guide you through the key features of the language and its tools and libraries. The book places equal focus on client- and server-side programming, and shows readers how to create interactive web content, build and test data services, and visualize data in the browser. Topics include: The core features of modern JavaScript Creating templated web pages Making those pages interactive using React Data visualization using Vega-Lite Using Data-Forge to wrangle tabular data Building a data service with Express Unit testing with Mocha All of the material is covered by the Creative Commons Attribution-Noncommercial 4.0 International license (CC-BY-NC-4.0) and is included in the book's companion website. . Maya Gans is a freelance data scientist and front-end developer by way of quantitative biology. Toby Hodges is a bioinformatician turned community coordinator who works at the European Molecular Biology Laboratory. Greg Wilson co-founded Software Carpentry, and is now part of the education team at RStudio
Python. an Introduction to Programming by
Learn programming concepts using Python 3 as the target language. As Python is the language of choice for basic game development, this book is also perfect for beginning game designers. Covering basic computer concepts such as loops, strings, functions, files, graphics, multimedia, algorithms, classes, writing code, etc, the accompanying companion files also provide source code, solved programming exercises, projects, game demos and figures from the text.
Python for Everyone by
Python is one of the most popular programming languages in the world, with a vast community of developers and users. In order to start using Python effectively, it is important to have a strong understanding of its core concepts. This comprehensive guide provides you with a solid foundation in the fundamental concepts of Python programming. It covers a range of important topics, including working with strings, flow control statements, exception handling, and regular expressions. You will also learn about the essential functions and data structures, and explore the use of pre-built packages to extend Python's capabilities. Numpy and data visualization with packages like Matplotlib are also discussed in depth, along with the popular data analysis and manipulation package, Pandas. This book is an essential resource for anyone looking to master Python and use its power to tackle real-world projects. With a strong grasp of these core concepts, you will be well-equipped to write efficient and effective Python code.
Ai and Human Thought and Emotion by
The field of artificial intelligence (AI) has grown dramatically in recent decades from niche expert systems to the current myriad of deep machine learning applications that include personal assistants, natural-language interfaces, and medical, financial, and traffic management systems. This boom in AI engineering masks the fact that all current AI systems are based on two fundamental ideas: mathematics (logic and statistics, from the 19th century), and a grossly simplified understanding of biology (mainly neurons, as understood in 1943). This book explores other fundamental ideas that have the potential to make AI more anthropomorphic. Most books on AI are technical and do not consider the humanities. Most books in the humanities treat technology in a similar manner. AI and Human Thought and Emotion, however is about AI, how academics, researchers, scientists, and practitioners came to think about AI the way they do, and how they can think about it afresh with a humanities-based perspective. The book walks a middle line to share insights between the humanities and technology. It starts with philosophy and the history of ideas and goes all the way to usable algorithms. Central to this work are the concepts of introspection, which is how consciousness is viewed, and consciousness, which is accessible to humans as they reflect on their own experience. The main argument of this book is that AI based on introspection and emotion can produce more human-like AI. To discover the connections among emotion, introspection, and AI, the book travels far from technology into the humanities and then returns with concrete examples of new algorithms. At times philosophical, historical, and technical, this exploration of human emotion and thinking poses questions and provides answers about the future of AI.
The AI Book by
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today's Financial Services Industry · The future state of financial services and capital markets - what's next for the real-world implementation of AITech? · The innovating customer - users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the 'unbundled corporation' & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important
Artificial Intelligence - Intelligent Art? by
As algorithmic data processing increasingly pervades everyday life, it is also making its way into the worlds of art, literature and music. In doing so, it shifts notions of creativity and evokes non-anthropocentric perspectives on artistic practice. This volume brings together contributions from the fields of cultural studies, literary studies, musicology and sound studies as well as media studies, sociology of technology, and beyond, presenting a truly interdisciplinary, state-of-the-art picture of the transformation of creative practice brought about by various forms of AI.
The Birth of Computer Vision by
A revealing genealogy of image-recognition techniques and technologies Today's most advanced neural networks and sophisticated image-analysis methods come from 1950s and '60s Cold War culture--and many biases and ways of understanding the world from that era persist along with them. Aerial surveillance and reconnaissance shaped all of the technologies that we now refer to as computer vision, including facial recognition. The Birth of Computer Vision uncovers these histories and finds connections between the algorithms, people, and politics at the core of automating perception today. James E. Dobson reveals how new forms of computerized surveillance systems, high-tech policing, and automated decision-making systems have become entangled, functioning together as a new technological apparatus of social control. Tracing the development of a series of important computer-vision algorithms, he uncovers the ideas, worrisome military origins, and lingering goals reproduced within the code and the products based on it, examining how they became linked to one another and repurposed for domestic and commercial uses. Dobson includes analysis of the Shakey Project, which produced the first semi-autonomous robot, and the impact of student protest in the early 1970s at Stanford University, as well as recovering the computer vision-related aspects of Frank Rosenblatt's Perceptron as the crucial link between machine learning and computer vision. Motivated by the ongoing use of these major algorithms and methods, The Birth of Computer Vision chronicles the foundations of computer vision and artificial intelligence, its major transformations, and the questionable legacy of its origins. Cover alt text: Two overlapping circles in cream and violet, with black background. Top is a printed circuit with camera eye; below a person at a 1977 computer.
Encyclopedia of Artificial Intelligence : the past, present, and future of AI by
This authoritative reference work will provide readers with a complete overview of artificial intelligence (AI), including its historic development and current status, existing and projected AI applications, and present and potential future impact on the United States and the world. Some people believe that artificial intelligence (AI) will revolutionize modern life in ways that improve human existence. Others say that the promise of AI is overblown. Still others contend that AI applications could pose a grave threat to the economic security of millions of people by taking their jobs and otherwise rendering them "obsolete"--or, even worse, that AI could actually spell the end of the human race. This volume will help users understand the reasons AI development has both spirited defenders and alarmed critics; explain theories and innovations like Moore's Law, mindcloning, and Technological Singularity that drive AI research and debate; and give readers the information they need to make their own informed judgment about the promise and peril of this technology. All of this coverage is presented using language and terminology accessible to a lay audience.
Great Philosophical Objections to Artificial Intelligence by
Winner of the 2022 CHOICE Outstanding Academic Titles This book surveys and examines the most famous philosophical arguments against building a machine with human-level intelligence. From claims and counter-claims about the ability to implement consciousness, rationality, and meaning, to arguments about cognitive architecture, the book presents a vivid history of the clash between the philosophy and AI. Tellingly, the AI Wars are mostly quiet now. Explaining this crucial fact opens new paths to understanding the current resurgence AI (especially, deep learning AI and robotics), what happens when philosophy meets science, and the role of philosophy in the culture in which it is embedded. Organising the arguments into four core topics - 'Is AI possible', 'Architectures of the Mind', 'Mental Semantics and Mental Symbols' and 'Rationality and Creativity' - this book shows the debate that played out between the philosophers on both sides of the question, and, as well, the debate between philosophers and AI scientists and engineers building AI systems. Up-to-date and forward-looking, the book is packed with fresh insights and supporting material, including: - Accessible introductions to each war, explaining the background behind the main arguments against AI - Each chapter details what happened in the AI wars, the legacy of the attacks, and what new controversies are on the horizon. - Extensive bibliography of key readings
Handbook of Artificial Intelligence and Robotic Process Automation by
On the commercial side, artificial intelligence applications are powering many sectors. Globally, governments are exploring how to comprehend, incorporate, apply, and use artificial intelligence technologies. The scope of government use of artificial intelligence technology goes beyond that of commercial organizations and is far more complex. In government, the challenges will be as follows: (1) How can governments use artificial intelligence technology to improve their efficiencies? (2) How can governments become more citizen-centric, service based, accessible, and responsive? (3) How can governments protect their citizens from the misuse of artificial intelligence (e.g., alleged Russian bots' interference in U.S. elections)? (4) How can governments use artificial intelligence technology to make better policy decisions and avoid wrong decisions (economic, social etc.)? (5) How can governments develop new standards to govern and manage the deployment of artificial intelligence technologies (e.g., autonomous cars, financial markets and trading, healthcare bots)? (6) How will the legislative bodies respond to the rise of intelligent machines? (7) How will the use of artificial intelligence in the military change the arms race? (8) What roles governments will need to play in developing global standards related to artificial intelligence (United Nations)? (9) How can governments improve their countries' productivity with artificial intelligence? (10) How can governments handle the upcoming unemployment that would result from AI automation? All the above questions are at an early stage of exploration and many have not been addressed comprehensively. This book deals with all the above issues and provides the first guide to governments and policy makers of the world on artificial intelligence.
The International Governance of Artificial Intelligence by
This timely book investigates emerging efforts to govern artificial intelligence (AI) at an international level. It emphasizes the complex interactions involved when creating international norms related to potential and current developments in AI regulation. Organized into four parts, The International Governance of Artificial Intelligencedemonstrates how formal and informal standards for AI are emerging from stakeholder interactions. With the objective of describing a nascent transnational law on AI use, chapters survey the various global realities that affect AI governance, concluding that AI law should ultimately be evaluated against the measure of international human rights. Students of law and governance will benefit from this book, particularly when studying emerging technologies, international economic law and general international law. Those researching policy creation and regulation will additionally find it to be an enlightening read.
Machines We Trust: perspectives on dependable AI by
Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.
The Routledge social science handbook of AI by
The Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution--from supercomputers and social media to advanced automation and robotics--is transforming society, culture, politics and economy. The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution. The Handbook is exceptionally wide-ranging in span, covering topics all the way from AI technologies in everyday life to single-purpose robots throughout home and work life, and from the mainstreaming of human-machine interfaces to the latest advances in AI, such as the ability to mimic (and improve on) many aspects of human brain function. A unique integration of social science on the one hand and new technologies of artificial intelligence on the other, this Handbook offers readers new ways of understanding the rise of AI and its associated global transformations. Written in a clear and direct style, the Handbook will appeal to a wide undergraduate audience.
Cybersecurity : a self-teaching introduction by
No detailed description available for "Cybersecurity".
Cybersecurity and Decision Makers by
Cyber security is a key issue affecting the confidence of Internet users and the sustainability of businesses. It is also a national issue with regards to economic development and resilience. As a concern, cyber risks are not only in the hands of IT security managers, but of everyone, and non-executive directors and managing directors may be held to account in relation to shareholders, customers, suppliers, employees, banks and public authorities. The implementation of a cybersecurity system, including processes, devices and training, is essential to protect a company against theft of strategic and personal data, sabotage and fraud. Cybersecurity and Decision Makers presents a comprehensive overview of cybercrime and best practice to confidently adapt to the digital world; covering areas such as risk mapping, compliance with the General Data Protection Regulation, cyber culture, ethics and crisis management. It is intended for anyone concerned about the protection of their data, as well as decision makers in any organization.
Cybersecurity for Entrepreneurs by
One data breach can close a small business before it even gets going. With all that is involved in starting a new business, cybersecurity can easily be overlooked but no one can afford to put it on the back burner. Cybersecurity for Entrepreneurs is the perfect book for anyone considering a new business venture. Written by cybersecurity experts from industry and academia, this book serves as an all-inclusive reference to build a baseline of cybersecurity knowledge for every small business. Authors Gloria D'Anna and Zachary A. Collier bring a fresh approach to cybersecurity using a conversational tone and a friendly character, Peter the Salesman, who stumbles into all the situations that this book teaches readers to avoid. Cybersecurity for Entrepreneurs includes securing communications, protecting financial transactions, safeguarding IoT devices, understanding cyber laws, managing risks, and assessing how much to invest in cyber security based on specific business needs.
Cybersecurity for Information Professionals by
Information professionals have been paying more attention and putting a greater focus on privacy over cybersecurity. However, the number of both cybersecurity and privacy breach incidents are soaring, which indicates that cybersecurity risks are high and growing. Utilizing cybersecurity awareness training in organizations has been an effective tool to promote a cybersecurity-conscious culture, making individuals more cybersecurity-conscious as well. However, it is unknown if employees' security behavior at work can be extended to their security behavior at home and personal life. On the one hand, information professionals need to inherit their role as data and information gatekeepers to safeguard data and information assets. On the other hand, information professionals can aid in enabling effective information access and dissemination of cybersecurity knowledge to make users conscious about the cybersecurity and privacy risks that are often hidden in the cyber universe. Cybersecurity for Information Professionals: Concepts and Applications introduces fundamental concepts in cybersecurity and addresses some of the challenges faced by information professionals, librarians, archivists, record managers, students, and professionals in related disciplines. This book is written especially for educators preparing courses in information security, cybersecurity, and the integration of privacy and cybersecurity. The chapters contained in this book present multiple and diverse perspectives from professionals in the field of cybersecurity. They cover such topics as: Information governance and cybersecurity User privacy and security online and the role of information professionals Cybersecurity and social media Healthcare regulations, threats, and their impact on cybersecurity A socio-technical perspective on mobile cybersecurity Cybersecurity in the software development life cycle Data security and privacy Above all, the book addresses the ongoing challenges of cybersecurity. In particular, it explains how information professionals can contribute to long-term workforce development by designing and leading cybersecurity awareness campaigns or cybersecurity hygiene programs to change people's security behavior.
Cybersecurity Fundamentals: A Real-World Perspective by
Cybersecurity Fundamentals: A Real-World Perspectiveexplains detailed concepts within computer networks and computer security in an easy-to-understand way, making it the perfect introduction to the topic. This book covers fundamental issues using practical examples and real-world applications to give readers a rounded understanding of the subject and how it is applied. The first three chapters provide a deeper perspective on computer networks, cybersecurity, and different types of cyberattacks that hackers choose to unleash on cyber environments. It then goes on to cover the types of major computer malware and cybersecurity attacks that shook the cyber world in the recent years, detailing the attacks and analyzing their impact on the global economy. The details of the malware codes that help the hacker initiate the hacking attacks on networks are fully described. It then covers high-tech cybersecurity programs, devices, and mechanisms that are extensively adopted in modern security systems. Examples of those systems include intrusion detection systems (IDS), intrusion prevention systems (IPS), and security firewalls. It demonstrates how modern technologies can be used to create and manage passwords for secure data. This book also covers aspects of wireless networks and their security mechanisms. The details of the most commonly used Wi-Fi routers are provided with step-by-step procedures to configure and secure them more efficiently. Test questions are included throughout the chapters to ensure comprehension of the material. Along with this book's step-by-step approach, this will allow undergraduate students of cybersecurity, network security, and related disciplines to gain a quick grasp of the fundamental topics in the area. No prior knowledge is needed to get the full benefit of this book.
Cybersecurity Labeling for Internet of Things by Gender Approaches to Cybersecurity Design, Defense and Response by 
The IoT Architect's Guide to Attainable Security and Privacy by
This book describes how to architect and design Internet of Things (loT) solutions that provide end-to-end security and privacy at scale. It is unique in its detailed coverage of threat analysis, protocol analysis, secure design principles, intelligent loT's impact on privacy, and the effect of usability on security. The book also unveils the impact of digital currency and the dark web on the loT-security economy. It's both informative and entertaining. "Filled with practical and relevant examples based on years of experience ... with lively discussions and storytelling related to loT security design flaws and architectural issues."-- Dr. James F. Ransome, Senior Director of Security Development Lifecycle (SOL) Engineering, Intel 'There is an absolute treasure trove of information within this book that will benefit anyone, not just the engineering community. This book has earned a permanent spot on my office bookshelf."-- Erv Comer, Fellow of Engineering, Office of Chief Architect Zebra Technologies 'The importance of this work goes well beyond the engineer and architect. The IoT Architect's Guide to Attainable Security & Privacy is a crucial resource for every executive who delivers connected products to the market or uses connected products to run their business."-- Kurt Lee, VP Sales and Strategic Alliances at PWNIE Express "If we collectively fail to follow the advice described here regarding loT security and Privacy, we will continue to add to our mounting pile of exploitable computing devices. The attackers are having a field day. Read this book, now."-- Brook S.E. Schoenfield, Director of Advisory Services at IOActive, previously Master Security Architect at McAfee, and author of Securing Systems
A Vulnerable System: the history of information security in the computer age by
As threats to the security of information pervade the fabric of everyday life, A Vulnerable System describes how, even as the demand for information security increases, the needs of society are not being met. The result is that the confidentiality of our personal data, the integrity of our elections, and the stability of foreign relations between countries are increasingly at risk. Andrew J. Stewart convincingly shows that emergency software patches and new security products cannot provide the solution to threats such as computer hacking, viruses, software vulnerabilities, and electronic spying. Profound underlying structural problems must first be understood, confronted, and then addressed. A Vulnerable System delivers a long view of the history of information security, beginning with the creation of the first digital computers during the Cold War. From the key institutions of the so-called military industrial complex in the 1950s to Silicon Valley start-ups in the 2020s, the relentless pursuit of new technologies has come at great cost. The absence of knowledge regarding the history of information security has caused the lessons of the past to be forsaken for the novelty of the present, and has led us to be collectively unable to meet the needs of the current day. From the very beginning of the information age, claims of secure systems have been crushed by practical reality. The myriad risks to technology, Stewart reveals, cannot be addressed without first understanding how we arrived at this moment. A Vulnerable System is an enlightening and sobering history of a topic that affects crucial aspects of our lives.
Access Rules: freeing data from big tech for a better future by
A powerful and urgent call to action: to improve our lives and our societies, we must demand open access to data for all. Information is power, and the time is now for digital liberation. Access Rules mounts a strong and hopeful argument for how informational tools at present in the hands of a few could instead become empowering machines for everyone. By forcing data-hoarding companies to open access to their data, we can reinvigorate both our economy and our society. Authors Viktor Mayer-Schönberger and Thomas Ramge contend that if we disrupt monopoly power and create a level playing field, digital innovations can emerge to benefit us all. Over the past twenty years, Big Tech has managed to centralize the most relevant data on their servers, as data has become the most important raw material for innovation. However, dominant oligopolists like Facebook, Amazon, and Google, in contrast with their reputation as digital pioneers, are actually slowing down innovation and progress by withholding data for the benefit of their shareholders--at the expense of customers, the economy, and society. As Access Rules compellingly argues, ultimately it is up to us to force information giants, wherever they are located, to open their treasure troves of data to others. In order for us to limit global warming, contain a virus like COVID-19, or successfully fight poverty, everyone--including citizens and scientists, start-ups and established companies, as well as the public sector and NGOs--must have access to data. When everyone has access to the informational riches of the data age, the nature of digital power will change. Information technology will find its way back to its original purpose: empowering all of us to use information so we can thrive as individuals and as societies.
Big Data by
Big Data is a concept of major relevance in today's world, sometimes highlighted as a key asset for productivity growth, innovation, and customer relationship, whose popularity has increased considerably during the last years. Areas like smart cities, manufacturing, retail, finance, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data, leveraging unprecedented data-driven workflows and considerably improved decision-making processes. The concept of a Big Data Warehouse (BDW) is emerging as either an augmentation or a replacement of the traditional Data Warehouse (DW), a concept that has a long history as one of the most valuable enterprise data assets. Nevertheless, research in Big Data Warehousing is still in its infancy, lacking an integrated and validated approach for designing and implementing both the logical layer (data models, data flows, and interoperability between components) and the physical layer (technological infrastructure) of these complex systems. This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems.
Big Data Analytics and Intelligence by
Big data is a field of research that is growing rapidly, and as the Covid-19 crisis has shown, health care is an area that could benefit greatly from its increased use and application. Big data, as derived partly from the internet of things and analysed according to specific algorithms, has a large and beneficial role to play in preventative medicine, in monitoring the health of specific groups, and in improving diagnostics. Big Data Analytics and Intelligence: A Perspective for Health Carefocuses on various areas of health care, ranging from nutrition to cancer, and providing diverse perspectives on all of them. This book explores the entire life-cycle of big data, from information retrieval to analysis, and it shows how big data's applications can enhance, streamline and improve services for patients and health-care professionals. Each chapter focuses on a specific area of health care and how big data is applicable to it, with background and current examples provided.
Building a Data Culture : the usage and flow data culture model by
In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential due to a lack of understanding and effective utilization of data within their culture. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture. The book emphasizes data strategy and data governance's pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate on the people, processes, and technology through analytics, literacy, governance, process management, and data inventory management. The authors introduce the groundbreaking Usage and Flow Data Culture Model, a unique framework that enables organizations to evaluate and reshape their data culture based on distinct cultural types: Preservationist, Protectionist, Traditional, and Progressive. Each culture type is carefully dissected, revealing associated challenges and opportunities, uncovering suitable strategies in the process. Developing a worthy data culture necessitates a shift in mindset and the development of relevant skills across the organization. Building a Data Culture is your roadmap to fostering data literacy, promoting data-driven decision-making, and cultivating a data-driven mindset. What You'll Learn Assess your organization's current data culture Identify cultural strengths and weaknesses within your organization Develop a data governance program Define data policies and standards and establish decision-making processes Who This Book is For Professionals and leaders across various industries who are interested in building a data culture within their organizations. The typical reader may have a background in data management, analytics, business intelligence, or technology, but the book is designed to be accessible to a wide range of readers with varying levels of expertise.
Data Ethics of Power: a human approach in the big data and AI era by
Data Ethics of Powertakes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world. Gry Hasselbalch expertly draws on nearly two decades of experience in the field, and key literature, to advance a better understanding of the challenges faced by big data and AI developers. She provides an innovative ethical framework for studying and governing Big-Data and Artificial Intelligence. Offering both a historical account and a theoretical analysis of power dynamics and their ethical implications, as well as incisive ideas to guide future research and governance practices, the book makes a significant contribution to the establishment of an emerging data and AI ethics discipline. This timely book is a must-read for scholars studying AI, data, and technology ethics. Policymakers in the regulatory, governance, public administration, and management sectors will find the practical proposals for a human-centric approach to big data and AI to be a valuable resource for revising and developing future policies.
The Data Revolution : a critical analysis of big data, open data & data infrastructures by
Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era. Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about the nature of data and the field of critical data studies overview of big data, open data and data infrastructures analysis of the utility and value of big and open data for research, business, government and civil society assessment of the concerns and risks in a data-driven world and how to prevent and mitigate them.
Hands on with Google Data Studio by
Learn how to easily transform your data into engaging, interactive visual reports! Data is no longer the sole domain of tech professionals and scientists. Whether in our personal, business, or community lives, data is rapidly increasing in both importance and sheer volume. The ability to visualize all kinds of data is now within reach for anyone with a computer and an internet connection. Google Data Studio, quickly becoming the most popular free tool in data visualization, offers users a flexible, powerful way to transform private and public data into interactive knowledge that can be easily shared and understood. Hands On With Google Data Studio teaches you how to visualize your data today and produce professional quality results quickly and easily. No previous experience is required to get started right away--all you need is this guide, a Gmail account, and a little curiosity to access and visualize data just like large businesses and organizations. Clear, step-by-step instructions help you identify business trends, turn budget data into a report, assess how your websites or business listings are performing, analyze public data, and much more. Practical examples and expert tips are found throughout the text to help you fully understand and apply your new knowledge to a wide array of real-world scenarios. This engaging, reader-friendly guide will enable you to: Use Google Data Studio to access various types of data, from your own personal data to public sources Build your first data set, navigate the Data Studio interface, customize reports, and share your work Learn the fundamentals of data visualization, personal data accessibility, and open data API's Harness the power of publicly accessible data services including Google's recently released Data Set Search Add banners, logos, custom graphics, and color palettes Hands On With Google Data Studio: A Data Citizens Survival Guide is a must-have resource for anyone starting their data visualization journey, from individuals, consultants, and small business owners to large business and organization managers and leaders.
Intelligent Data Analysis: from data gathering to data comprehension by
This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
Practical Data Migration by
This book is for executives, practitioners, and project managers who are tasked with the movement of data from old systems to a new repository. It is designed as a practical guide and uses a series of steps developed in real-life situations that will get you from an empty new system to one that is populated, working and backed by the user population.This new edition is updated to take account of changes in technology and the maturing of the market for data migration services, with two brand new chapters. It guarantees to get the dirty old data out of your legacy systems and transform it into clean new data for your new system.
Smarter Data Science by
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that's both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.
Applications of Cloud Computing: Approaches and Practices by
In the era of the Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such a humongous amount of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such a computing framework for a large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. Applications of Cloud Computing: Approaches and Practices lays a good foundation for the core concepts and principles of cloud computing applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into the applications of it. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.
Benefit/Cost-Driven Agile Software Development with Benefit Points and Size Points by
This open access book presents a set of basic techniques for estimating the benefit of IT development projects and portfolios. It also offers methods for monitoring how much of that estimated benefit is being achieved during projects. Readers can then use these benefit estimates together with cost estimates to create a benefit/cost index to help them decide which functionalities to send into construction and in what order. This allows them to focus on constructing the functionality that offers the best value for money at an early stage. Although benefits management involves a wide range of activities in addition to estimation and monitoring, the techniques in this book provides a clear guide to achieving what has always been the goal of project and portfolio stakeholders: developing systems that produce as much usefulness and value as possible for the money invested. The techniques can also help deal with vicarious motives and obstacles that prevent this happening. The book equips readers to recognize when a project budget should not be spent in full and resources be allocated elsewhere in a portfolio instead. It also provides development managers and upper management with common ground as a basis for making informed decisions.
Cloud Ethics: algorithms and the attributes of ourselves and others by
In Cloud Ethics Louise Amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society. Conceptualizing algorithms as ethicopolitical entities that are entangled with the data attributes of people, Amoore outlines how algorithms give incomplete accounts of themselves, learn through relationships with human practices, and exist in the world in ways that exceed their source code. In these ways, algorithms and their relations to people cannot be understood by simply examining their code, nor can ethics be encoded into algorithms. Instead, Amoore locates the ethical responsibility of algorithms in the conditions of partiality and opacity that haunt both human and algorithmic decisions. To this end, she proposes what she calls cloud ethics--an approach to holding algorithms accountable by engaging with the social and technical conditions under which they emerge and operate.
Data Privacy and Trust in Cloud Computing by
This open access book brings together perspectives from multiple disciplines including psychology, law, IS, and computer science on data privacy and trust in the cloud. Cloud technology has fueled rapid, dramatic technological change, enabling a level of connectivity that has never been seen before in human history. However, this brave new world comes with problems. Several high-profile cases over the last few years have demonstrated cloud computing's uneasy relationship with data security and trust. This volume explores the numerous technological, process and regulatory solutions presented in academic literature as mechanisms for building trust in the cloud, including GDPR in Europe. The massive acceleration of digital adoption resulting from the COVID-19 pandemic is introducing new and significant security and privacy threats and concerns. Against this backdrop, this book provides a timely reference and organising framework for considering how we will assure privacy and build trust in such a hyper-connected digitally dependent world. This book presents a framework for assurance and accountability in the cloud and reviews the literature on trust, data privacy and protection, and ethics in cloud computing.
Introduction to Private Cloud Databases Using Oracle Exadata and Oracle Database by
Private clouds allow for managing multiple databases under one roof, avoiding unnecessary resource management. Private cloud solutions can be applied in sectors such as healthcare, retail, and software. The Introduction to Private Cloud using Oracle Exadata and Oracle Database will explore the general architecture of private cloud databases with a focus on Oracle's Exadata database machine. The book describes the private cloud using fundamental-level Exadata and database. Exadata has been Oracle's pioneer product for almost a decade. In the last few years, Oracle has positioned Exadata for customers to consume as a cloud service. This book will provide a timely introduction to Exadata for current and potential Oracle customers and other IT professionals.
Mastering Cloud-Native Microservices: Designing and Implementing Cloud-Native Microservices for Next-Gen Apps by
No detailed description available for "Mastering Cloud-Native Microservices".
New Age Cyber Threat Mitigation for Cloud Computing Networks by
Increasingly global and online social interactions and financial transactions involve digital data, computing devices and the internet. With cloud computing, remote computing, enterprise mobility and e-commerce on the rise, network security has become a priority. Selecting an appropriate algorithm and policy is a challenge for computer security engineers, as new technologies provide malicious users with opportunities to intrude into computer networks. New Age Cyber Threat Mitigation for Cloud Computing Networks provides cloud and network engineers answers to cybersecurity challenges. It highlights new options, methodologies and feasible solutions that can be implemented in cloud architecture and IT Infrastructure, thereby securing end users. Chapters cover many topics related to cyber threats in the modern era. These topics include: · Ransomware and DDoS attacks · Security algorithms · Design and implementation solutions for resilient and fault-tolerant cloud and network services · Security policy · End user data security The book is an essential resource for anyone involved in cloud computing and network security, including learners, professionals and enthusiasts.
Securing Cloud Services - a Pragmatic Guide by
Securing Cloud Services - A pragmatic guide gives an overview of security architecture processes and explains how they may be used to derive an appropriate set of security controls to manage the risks associated with working in the Cloud. The book: Introduces the concepts of Cloud computing and the associated security threats; Explains key security architectures and how they can be applied to Cloud services; and Covers security considerations for the different Cloud service models: IaaS (Infrastructure as a Service), PaaS (Platform as a Service), SaaS (Software as a Service) and FaaS (Function as a Service). Cloud computing represents a major change to the IT services landscape, but it also introduces changes to the risk landscape, which need to be understood and addressed. The flexibility of Cloud computing does not come without compromise or risk. Security remains a major concern for CIOs (chief information officers) considering a move to Cloud-based services. This book gives organisations pragmatic guidance on how to achieve consistent and cohesive security across their IT services - regardless of whether those services are hosted on-premises, on Cloud services or using a combination of both. This guidance in Securing Cloud Services - A pragmatic guide is provided through the application of a Security Reference Model to the different Cloud delivery models - IaaS, PaaS and SaaS - and also considers the changes in approach required to work securely with the newer FaaS model. Part 1 introduces the concepts embodied within Cloud computing, describes the associated security threats and lists some of the leading industry initiatives dedicated to improving the security of Cloud services. Part 2 introduces security architecture concepts and a conceptual Security Reference Model. This model is then applied to the different Cloud service models to show how the conceptual security services within the reference model can be delivered for each Cloud service model. This book will help organisations looking to implement Cloud services aimed at the enterprise - such as Amazon Web Services, Microsoft Azure, Google Cloud Platform and Salesforce - and to do so in a risk-managed manner. It is aimed at business decision makers, senior IT stakeholders, enterprise architects, information security professionals. Manage the risks associated with Cloud computing - buy this book today!
Artificial Intelligence with Python: your complete guide to building intelligent apps using Python 3.x and TensorFlow 2 by
No detailed description available for "Artificial Intelligence with Python".
Building Better Interfaces for Remote Autonomous Systems by
This 'Open Access' SpringerBrief provides foundational knowledge for designing autonomous, asynchronous systems and explains aspects of users relevant to designing for these systems, introduces principles for user-centered design, and prepares readers for more advanced and specific readings. It provides context and the implications for design choices made during the design and development of the complex systems that are part of operation centers. As such, each chapter includes principles to summarize the design implication that engineers can use to inform their own design of interfaces for operation centers and similar systems. It includes example materials for the design of a fictitious system, which are referenced in the book and can be duplicated and extended for real systems. The design materials include a system overview, the system architecture, an example scenario, a stakeholder analysis, a task analysis, a description of the system and interface technology, and contextualized design guidelines. The guidelines can be specified because the user, the task, and the technology are well specified as an example. Building Better Interfaces for Remote Autonomous Systems is for working system engineers who are designing interfaces used in high throughput, high stake, operation centers (op centers) or control rooms, such as network operation centers (NOCs). Intended users will have a technical undergraduate degree (e.g., computer science) with little or no training in design, human sciences, or with human-centered iterative design methods and practices. Background research for the book was supplemented by interaction with the intended audience through a related project with L3Harris Technologies (formerly Harris Corporation).
Developing sustainable and energy-efficient software systems by
This open access book provides information how to choose and collect the appropriate metrics for a software project in an organization. There are several kinds of metrics, based on the analysis of source code and developed for different programming paradigms such as structured programming and object-oriented programming (OOP). This way, the book follows three main objectives: (i) to identify existing and easily-collectible measures, if possible in the early phases of software development, for predicting and modeling both the traditional attributes of software systems and attributes specifically related to their efficient use of resources, and to create new metrics for such purposes; (ii) to describe ways to collect these measures during the entire lifecycle of a system, using minimally-invasive monitoring of design-time processes, and consolidate them into conceptual frameworks able to support model building by using a variety of approaches, including statistics, data mining and computational intelligence; and (iii) to present models and tools to support design time evolution of systems based on design-time measures and to empirically validate them. The book provides researchers and advanced professionals with methods for understanding the full implications of alternative choices and their relative attractiveness in terms of enhancing system resilience. It also explores the simultaneous use of multiple models that reflect different system interpretations or stakeholder perspectives.
Effective Methods for Software Engineering by
Software is important because it is used by a great many people in companies and institutions. This book presents engineering methods for designing and building software. Based on the author's experience in software engineering as a programmer in the defense and aerospace industries, this book explains how to ensure a software that is programmed operates according to its requirements. It also shows how to develop, operate, and maintain software engineering capabilities by instilling an engineering discipline to support programming, design, builds, and delivery to customers. This book helps software engineers to: Understand the basic concepts, standards, and requirements of software engineering. Select the appropriate programming and design techniques. Effectively use software engineering tools and applications. Create specifications to comply with the software standards and requirements. Utilize various methods and techniques to identify defects. Manage changes to standards and requirements. Besides providing a technical view, this book discusses the moral and ethical responsibility of software engineers to ensure that the software they design and program does not cause serious problems. Software engineers tend to be concerned with the technical elegance of their software products and tools, whereas customers tend to be concerned only with whether a software product meets their needs and is easy and ready to use. This book looks at these two sides of software development and the challenges they present for software engineering. A critical understanding of software engineering empowers developers to choose the right methods for achieving effective results. Effective Methods for Software Engineeringguides software programmers and developers to develop this critical understanding that is so crucial in today's software-dependent society.
The Essence of Software : why concepts matter for great design by
No detailed description available for "The Essence of Software".
Handbook of Mobile Application Development by
This handbook is a concise yet complete guide to fundamental engineering requirements and quality characteristics that users, developers, and marketers of mobile applications should be aware of. It provides detailed definitions and descriptions of eight key software application features that are integral to the overall design and user experience goals, and which may often overlap with certain functionalities. The book explains the essential aspects of these features clearly to novice developers. Readers will also learn about how to optimize the listed features to tailor their applications to the needs of their users. Key Features: - Presents detailed information about eight different features which guide mobile application development: capability, reliability, usability, charisma, security, performance, mobility and compatibility - Reader-friendly, structured layout of each chapter including relevant illustrations and clear language, designed for quick learning - Focus on both software function and user perception of applications on mobile devices - Includes a handy appendix with information about mobile learning projects and related work packages Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features is the ideal learning tool for novice software developers, computer science students, IT enthusiasts and marketers who want to design or develop mobile apps for an optimal user experience.
Algorithms, Humans, and Interactions: how do algorithms interact with people? designing meaningful AI experiences by
Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human-AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.
Experimental Studies in Learning Technology and Child-Computer Interaction. by
This book is about the ways in which experiments can be employed in the context of research on learning technologies and child-computer interaction (CCI). It is directed at researchers, supporting them to employ experimental studies while increasing their quality and rigor. The book provides a complete and comprehensive description on how to design, implement, and report experiments, with a focus on and examples from CCI and learning technology research. The topics covered include an introduction to CCI and learning technologies as interdisciplinary fields of research, how to design educational interfaces and visualizations that support experimental studies, the advantages and disadvantages of a variety of experiments, methodological decisions in designing and conducting experiments (e.g. devising hypotheses and selecting measures), and the reporting of results. As well, a brief introduction on how contemporary advances in data science, artificial intelligence, and sensor data have impacted learning technology and CCI research is presented. The book details three important issues that a learning technology and CCI researcher needs to be aware of: the importance of the context, ethical considerations, and working with children. The motivation behind and emphasis of this book is helping prospective CCI and learning technology researchers (a) to evaluate the circumstances that favor (or do not favor) the use of experiments, (b) to make the necessary methodological decisions about the type and features of the experiment, (c) to design the necessary "artifacts" (e.g., prototype systems, interfaces, materials, and procedures), (d) to operationalize and conduct experimental procedures to minimize potential bias, and (e) to report the results of their studies for successful dissemination in top-tier venues (such as journals and conferences). This book is an open access publication.
Eye Tracking and Visual Analytics by
Visualization and visual analytics are powerful concepts for exploring data from various application domains. The endless number of possible parameters and the many ways to combine visual variables as well as algorithms and interaction techniques create lots of possibilities for building such techniques and tools. The major goal of those tools is to include the human users with their tasks at hand, their hypotheses, and research questions to provide ways to find solutions to their problems or at least to hint them in a certain direction to come closer to a problem solution. However, due to the sheer number of design variations, it is unclear which technique is suitable for those tasks at hand, requiring some kind of user evaluation to figure out how the human users perform while solving their tasks. The technology of eye tracking has existed for a long time; however, it has only recently been applied to visualization and visual analytics as a means to provide insights to the users' visual attention behavior. This generates another kind of dataset that has a spatio-temporal nature and hence demands for advanced data science and visual analytics concepts to find insights into the recorded eye movement data, either as a post process or even in real-time. This book describes aspects from the interdisciplinary field of visual analytics, but also discusses more general approaches from the field of visualization as well as algorithms and data handling. A major part of the book covers research on those aspects under the light and perspective of eye tracking, building synergy effects between both fields -- eye tracking and visual analytics -- in both directions, i.e. eye tracking applied to visual analytics and visual analytics applied to eye tracking data. Technical topics discussed in the book include: Visualization; Visual Analytics; User Evaluation; Eye Tracking; Eye Tracking Data Analytics; Eye Tracking and Visual Analytics includes more than 500 references from the fields of visualization, visual analytics, user evaluation, eye tracking, and data science, all fields which have their roots in computer science. Eye Tracking and Visual Analyticsis written for researchers in both academia and industry, particularly newcomers starting their PhD, but also for PostDocs and professionals with a longer research history in one or more of the covered research fields. Moreover, it can be used to get an overview about one or more of the involved fields and to understand the interface and synergy effects between all of those fields. The book might even be used for teaching lectures in the fields of information visualization, visual analytics, and/or eye tracking.
Human-Centered Services Computing for Smart Cities by
This open-access book compiles seven monographs from researchers at the forefront of services computing and artificial intelligence for smart cities. This is structured into three thematic parts: service composition, big data analysis, and service integration for smart cities. The first part describes service compositions for smart cities, where interaction between services and the physical world, including humans, is paramount, unlike services on the Web and clouds. The second part addresses the challenges of big data analytics in smart cities, with a focus on privacy-preserving methodologies. The third part reports human-centered service integration for applications in smart cities.
Human-Robot interaction : control, analysis, and design by
This book introduces state-of-the-art technologies in the field of human-robot interactions. It details advances made in this field in recent decades, including dynamics, controls, design analysis, uncertainties, and modelling. The text will appeal to graduate students, practitioners and researchers in the fields of robotics, computer and cognitive science, and mechanical engineering.
Human computer interaction and emerging technologies by
INTERACT Conferences are an important platform for researchers and practitioners in the field of human-computer interaction (HCI) to showcase their work. They are organised biennially by the International Federation for Information Processing Technical Committee on Human-Computer Interaction (IFIP TC13), a committee of 30 member national societies and 9 Working Groups. This volume contains the Adjunct Proceedings to the 17th INTERACT Conference (2019), which was held in Paphos, Cyprus. The papers were submitted after the main publication deadline and published after the conference. They are selected papers from conference workshops, the Student Design Consortium and the Doctoral Consortium.
Understanding Human Information Behavior : when, how, and why people interact with information by
This introductory textbook aims to provide undergraduate students in information science and related disciplines with an applied grounding in information behavior. The book's primary focus is to provide explicit links between information behavior and the careers that students will pursue within the information professions. With a deeper understanding of information behavior, students will be better equipped to address the many types of barriers that frequently prevent people from effectively and efficiently accessing, understanding, managing, and/or using the information they need in the "real world." The first six chapters of the book provide students with the fundamental building blocks of information behavior, introduce them to important related concepts, and provide a deep dive into information literacy, digital literacy, the digital divide and digital inclusion. Chapters 7 through 12 introduce students to the scholarly communication system, providing guidance on how to find, read, and critically evaluate information behavior studies. Also explored in these chapters are the various methods used to investigate and understand people's information behaviors. Topics covered include research design, research methods, research ethics, user needs assessment, and human-computer interaction and associated design methods. This part of the book also covers some of the major information behavior models and theories that have been developed to describe, predict, and/or explain people's information behaviors. In chapters 13 through 16, the authors provide an in-depth look into their own information behavior research areas, including consumer health information behavior and health justice; youth information behavior; legal information behavior and access to justice; and information behavior in libraries. In the final chapter, students are first introduced to a wide range of careers within the information professions and then taken along on a deep dive into 10 specific jobs, with a special focus on the thread of information behavior that pervades the roles and responsibilities commonly associated with these positions. Each chapter begins with one or more scenarios illustrating concepts covered in the chapter and ends with discussion questions.
Web and Digital for Graphic Designers by
Creative web design requires knowledge from across the design and technical realms, and it can seem like a daunting task working out where to get started. In this book the authors take you through all you need to know about designing for the web and digital, from initial concepts and client needs, through layout and typography to basic coding, e-commerce and working with different platforms. The companion website provides step-by-step tutorial videos, HTML/CSS styling tips and links to useful resources to really help you get to grips with all the aspects of web design. Working alongside the text are interviews with international designers and critical commentaries looking at best practice and theoretical considerations. Written for graphic designers, this book delivers more than just an instruction manual - it provides a complete overview of designing for the web.
Working with AI: real stories of human-machine collaboration by
Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings. This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled-"smart"-systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work-by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers. These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short "insight" chapters draw out common themes and consider the implications of human collaboration with smart systems.
Data Ethics of Power: a human approach in the big data and AI era by
Data Ethics of Powertakes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world. Gry Hasselbalch expertly draws on nearly two decades of experience in the field, and key literature, to advance a better understanding of the challenges faced by big data and AI developers. She provides an innovative ethical framework for studying and governing Big-Data and Artificial Intelligence. Offering both a historical account and a theoretical analysis of power dynamics and their ethical implications, as well as incisive ideas to guide future research and governance practices, the book makes a significant contribution to the establishment of an emerging data and AI ethics discipline. This timely book is a must-read for scholars studying AI, data, and technology ethics. Policymakers in the regulatory, governance, public administration, and management sectors will find the practical proposals for a human-centric approach to big data and AI to be a valuable resource for revising and developing future policies.
Diversity in Computer Science Design Artefacts for Equity and Inclusion by
This is an open access book that covers the complete set of experiences and results of the FemTech.dk research which we have had conducted between 2016-2021 - from initiate idea to societal communication. Diversity in Computer Science: Design Artefacts for Equity and Inclusion presents and documents the principles, results, and learnings behind the research initiative FemTech.dk, which was created in 2016 and continues today as an important part of the Department of Computer Science at the University of Copenhagen's strategic development for years to come. FemTech.dk was created in 2016 to engage with research within gender and diversity and to explore the role of gender equity as part of digital technology design and development. FemTech.dk considers how and why computer science as a field and profession in Denmark has such a distinct unbalanced gender representation in the 21st century. This book is also the story of how we (the authors) as computer science researchers embarked on a journey to engage with a new research field - equity and gender in computing - about which we had only sporadic knowledge when we began. We refer here to equity and gender in computing as a research field - but in reality, this research field is a multiplicity of entangled paths, concepts, and directions that forms important and critical insights about society, gender, politics, and infrastructures which are published in different venues and often have very different sets of criteria, values, and assumptions. Thus, part of our journey is also to learn and engage with all these different streams of research, concepts, and theoretical approaches and, through these engagements, to identify and develop our own theoretical platform, which has a foundation in our research backgrounds in Human-Computer Interaction broadly - and Interaction Design & Computer Supported Cooperative Work specifically.
Ethical Practice of Statistics and Data Science by
Ethical Practice of Statistics and Data Science is intended to prepare people to fully assume their responsibilities to practice statistics and data science ethically. Aimed at early career professionals, practitioners, and mentors or supervisors of practitioners, the book supports the ethical practice of statistics and data science, with an emphasis on how to earn the designation of, and recognize, "the ethical practitioner". The book features 47 case studies, each mapped to the Data Science Ethics Checklist (DSEC); Data Ethics Framework (DEFW); the American Statistical Association (ASA) Ethical Guidelines for Statistical Practice; and the Association of Computing Machinery (ACM) Code of Ethics. It is necessary reading for students enrolled in any data intensive program, including undergraduate or graduate degrees in (bio-)statistics, business/analytics, or data science. Managers, leaders, supervisors, and mentors who lead data-intensive teams in government, industry, or academia would also benefit greatly from this book. This is a companion volume to Ethical Reasoning For A Data-Centered World, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the ASA and ACM Ethical Guidelines/Code of Ethics.
Ethics and responsible research and innovation in practice : the ETHNA System Project by
This Open Access book aims to present practical contributions to the ethics governance framework, the conceptualization and characteristics of ethics tools, as well as the experience gained from their application in different institutions. Its main objective is to provide a practical and useful guide that will help other institutions to start introducing Research Ethics effectively in their organizations. The European initiative ETHNA System has designed an ethics governance framework that can be implemented following specific guidelines and tools that can help different types of institutions to promote and generate responsible research and innovation. The papers included in this book were organized in topical sections as follows: foundations; experiences and lessons learned; ethics tools in practice; and looking into the future: main challenges.
Great Philosophical Objections to Artificial Intelligence by
This book surveys the most famous philosophical arguments against building a machine with human-level intelligence. From claims and counter-claims about the ability to implement consciousness, rationality, and meaning to arguments about cognitive architecture, it presents a vivid history of the clash between philosophy and AI. With introductions to each war and further readings, this forward-looking book is packed with fresh insights and supporting material.
Algorithms, Blockchain and Cryptocurrency by
The convergence of Algorithms, Blockchain and Cryptocurrency has the potential to fundamentally disrupt the current world of work. This book investigates the effects of this on the worker, the organisation and the economy, by considering a future where the traditional power relationships between workers and firms no longer apply. Using the term "Bitwork" to define this future world of work, the book proposes the idea of the Bitworker who is highly flexible, holds multiple roles, and has multiple incomes. Chapters consider the potential winners and losers of this technological pivot by exploring implications such as: the expanding array of currencies; training and education; retirement and loyalty; profit and power within organizations; economic policy. The book's comprehensive recommendations on how workers, organisations and nation states will need to adapt to prosper in this new world, provide a useful survival guide for researchers, practitioners and policy makers working on behavioural economics, economic policy and the future of work.
Blockchain and Cryptocurrency by
Blockchain is the powerful technology behind popular cryptocurrencies like Bitcoin. Find out how blockchain helped create these digital currencies that are not controlled by banks or governments. Then read other creative uses of blockchain and the role cryptology, the science of secret communication, plays in the system. Test your own cryptology skills with a hands-on activity.
Cryptocurrencies : Money, Trust and Regulation by
Oonagh McDonald examines the challenges, opportunities and threats that cryptocurrencies pose to cash and to existing fiat currencies and their potential to change how global finance operates.
Demystifying Internet of Things security : successful IoT device/edge and platform security deployment by
Break down the misconceptions of the Internet of Things by examining the different security building blocks available in Intel Architecture (IA) based IoT platforms. This open access book reviews the threat pyramid, secure boot, chain of trust, and the SW stack leading up to defense-in-depth. The IoT presents unique challenges in implementing security and Intel has both CPU and Isolated Security Engine capabilities to simplify it. This book explores the challenges to secure these devices to make them immune to different threats originating from within and outside the network. The requirements and robustness rules to protect the assets vary greatly and there is no single blanket solution approach to implement security. Demystifying Internet of Things Security provides clarity to industry professionals and provides and overview of different security solutions.
Human Assisted Intelligent Computing : modeling, simulations and applications by
This edited book focuses on well-known and new methodologies of optimization techniques in human-assisted computing that are used to resolve some of the very complicated and hard problems we face today
Intelligent secure trustable things by
This open access book provides an overview about results of the InSecTT project. Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTTIntelligent Secure Trustable Things, a pan-European effort with over 50 key partners from 12 countries (EU and Turkey), provides intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT creates trust in AI-based intelligent systems and solutions as a major part of the AIoT. InSecTT fosters cooperation between big industrial players from various domains, a number of highly innovative SMEs distributed all over Europe and cutting-edge research organizations and universities. The project features a big variety of industry-driven use cases embedded into various application domains where Europe is in a leading position, i.e., smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The demonstration of InSecTT solutions in well-known real-world environments like airports, trains, ports and the health sector shows their applicability on both high and broad level, going from citizens to European stakeholders. The first part of the book provides an introduction into the main topics of the InSecTT project: How to bring Internet of Things and Artificial Intelligence together to form the Artificial Intelligence of Things, a reference architecture for such kind of systems and how to develop trustworthy, ethical AI systems. In the second part, we show the development of essential technologies for creating trustworthy AIoT systems. The third part of the book is composed of a broad variety of examples on how to design, develop and validate trustworthy AIoT systems for industrial applications (including automotive, avionics, smart infrastructure, health care, manufacturing and railway).
Internet of Things by
The concept of Internet of Things has silently existed since the late nineteenth century but in the current decade expectations and excitement has peaked. However not many have understood the profound change that it can usher in. How big this change can be and how it can transform our working!! This book aims to bring in this realization with illustrative and practical case studies with comprehensive concepts. From beginners to practitioners in the field of academics or industry, it serves as a comprehensive yet easy to comprehend source of information on the multiple facets of IoT. Simplistic but comprehensive introduction of the facets of primarily the industrial IoT Practical adoption cases explaining the Core technology stack and business applications Comprehensive view of current technologies which complete the IoT delivery ecosystem, followed by overview of IoT enabled new business models. Realistic view of how industrial firms can evolve into the next stage of maturity along with determinants influencing this transformation since manufacturing is envisioned to be a key segment to adopt and benefit from IoT. Detailed analysis of IoT benefits for the universal triad- energy management, logistics optimization and distribution channel management. A full-fledged case study on Adoption of Green manufacturing using IoT. Real world example of gauging End User perception using different models which is important for a successful adoption of IoT. A futuristic visionary view of IoT as comprehended based on evolution of technology and platforms, and finally analysis of the extremely crucial concepts of security, privacy and governance.
Internet of Things Security: principles, applications, attacks, and countermeasures by
The Internet of Things (IoT), with its technological advancements and massive innovations, is building the idea of inter-connectivity among everyday life objects. With an explosive growth in the number of Internet-connected devices, the implications of the idea of IoT on enterprises, individuals, and society are huge. IoT is getting attention from both academia and industry due to its powerful real-time applications that raise demands to understand the entire spectrum of the field. However, due to increasing security issues, safeguarding the IoT ecosystem has become an important concern. With devices and information becoming more exposed and leading to increased attack possibilities, adequate security measures are required to leverage the benefits of this emerging concept. Internet of Things Security: Principles, Applications, Attacks, and Countermeasures is an extensive source that aims at establishing an understanding of the core concepts of IoT among its readers and the challenges and corresponding countermeasures in the field. Key features: Containment of theoretical aspects, as well as recent empirical findings associated with the underlying technologies Exploration of various challenges and trade-offs associated with the field and approaches to ensure security, privacy, safety, and trust across its key elements Vision of exciting areas for future research in the field to enhance the overall productivity This book is suitable for industrial professionals and practitioners, researchers, faculty members, and students across universities who aim to carry out research and development in the field of IoT security.
Power of the Invisible by
Quantum Physics is the solid basis of most of our understanding of nature and has been the driver of many technological advances. The trilogy Power of the Invisible: The Quintessence of Reality gives a coherent account of this huge domain of knowledge, which is linked to some fifty Nobel prizes and is one of the greatest scientific achievements of the twentieth century. This quantum story follows three lines in parallel: a pictorial, an explanatory and a mathematical one.
Quantum Computing (Second Edition) A Pathway to Quantum Logic Design. by
This comprehensive second edition will allow readers to develop a working understanding of quantum computing as part of their general education or as a prelude to independent research on quantum computing.
Special topics in information technology by
This open access book presents outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers. Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Control, and Telecommunications. Each year, more than 50 Ph.D.s. graduate from the program. This book gathers the outcomes of the best theses defended in 2022-23 and selected for the IT Ph.D. Award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.
What Every Engineer Should Know about the Internet of Things by
Internet of Things (IoT) products and cyber-physical systems (CPS) are being utilized in almost every discipline and there continues to be significant increases in spending on design, development, and deployment of IoT applications and analytics within every domain, from our homes, schools, government, and industry. This practical text provides an introduction to IoT that can be understood by every engineering discipline and discusses detailed applications of IoT. Developed to help engineers navigate this increasingly important and cross-disciplinary topic, this work: Offers research-based examples and case studies to facilitate the understanding of each IoT primitive Highlights IoT's connection to blockchain Provides and understanding of benefits and challenges of IoT and its importance to a variety of engineering disciplines Written to be accessible to non-experts in the subject, What Every Engineer Should Know About the Internet of Things communicates the importance of this technology and how it can support and challenge all interrelated actors as well as all involved assets across many domains.
Building Virtual Reality with Unity and SteamVR by
Building Virtual Reality with Unity and Steam VR takes a hands-on approach to getting up and running with virtual reality using the Unity game engine. By utilizing the free SteamVR 2.x libraries, this book and its example code are compatible with the main virtual reality (VR) head-mounted displays currently available. This book also looks at some of the main issues surrounding virtual reality, such as motion sickness and performance issues, providing practical ways to reduce their impact to make better VR experiences. Key Features: Discusses some of the key issues facing virtual reality and provides helpful tips for making better VR experiences Practical examples geared to work with any headset compatible with SteamVR, including Oculus Rift, HTC Vive, and Valve Index Uses the SteamVR Interaction system for interactions such as picking up and throwing objects, operating user interfaces and capturing input events for your own scripts Explore advanced spatialized audio with Steam Audio. Discover how to build user interfaces for virtual reality, as well as discussing some best practices for VR-based user interface design Written by a games industry veteran with a proven track record, having worked for IBM Research in educational VR research projects and having made and launched VR experiences.
The Post-Screen Through Virtual Reality, Holograms and Light Projections by
Screens are ubiquitous today. They display information; present image worlds; are portable; connect to mobile networks; mesmerize. However, contemporary screen media also seek to eliminate the presence of the screen and the visibilities of its boundaries. As what is image becomes increasingly indistinguishable against the viewer's actual surroundings, this unsettling prompts re-examination about not only what is the screen, but also how the screen demarcates and what it stands for in relation to our understanding of our realities in, outside and against images. Through case studies drawn from three media technologies - Virtual Reality; holograms; and light projections - this book develops new theories of the surfaces on and spaces in which images are displayed today, interrogating critical lines between art and life; virtuality and actuality; truth and lies. What we have today is not just the contestation of the real against illusion or the unreal, but the disappearance itself of difference and a gluttony of the unreal which both connect up to current politics of distorted truth values and corrupted terms of information. The Post-Screen Through Virtual Reality, Holograms and Light Projections: Where Screen Boundaries Lie is thus about not only where the image's borders and demarcations are established, but also the screen boundary as the instrumentation of today's intense virtualizations that do not tell the truth. In all this, a new imagination for images emerges, with a new space for cultures of presence and absence, definitions of object and representation, and understandings of dis- and re-placement - the post-screen.
Rethinking Virtual Places by
How would the humanities change if we grappled with the ways in which digital and virtual places are designed, experienced, and critiqued? In Rethinking Virtual Places, Erik Malcolm Champion draws from the fields of computational sciences and other place-related disciplines to argue for a more central role for virtual space in the humanities. For instance, recent developments in neuroscience could improve our understanding of how people experience, store, and recollect place-related encounters. Similarly, game mechanics using virtual place design might make digital environments more engaging and learning content more powerful and salient. In addition, Champion provides a brief introduction to new and emerging software and devices and explains how they help, hinder, or replace our traditional means of designing and exploring places. Perfect for humanities scholars fascinated by the potential of virtual space, Rethinking Virtual Places challenges both traditional and recent evaluation methods to address the complicated problem of understanding how people evaluate and engage with the notion of place.
Seeing the Past with Computers: experiments with augmented reality and computer vision for history by
Recent developments in computer technology are providing historians with new ways to see--and seek to hear, touch, or smell--traces of the past. Place-based augmented reality applications are an increasingly common feature at heritage sites and museums, allowing historians to create immersive, multifaceted learning experiences. Now that computer vision can be directed at the past, research involving thousands of images can recreate lost or destroyed objects or environments, and discern patterns in vast datasets that could not be perceived by the naked eye. Seeing the Past with Computers is a collection of twelve thought-pieces on the current and potential uses of augmented reality and computer vision in historical research, teaching, and presentation. The experts gathered here reflect upon their experiences working with new technologies, share their ideas for best practices, and assess the implications of--and imagine future possibilities for--new methods of historical study. Among the experimental topics they explore are the use of augmented reality that empowers students to challenge the presentation of historical material in their textbooks; the application of seeing computers to unlock unusual cultural knowledge, such as the secrets of vaudevillian stage magic; hacking facial recognition technology to reveal victims of racism in a century-old Australian archive; and rebuilding the soundscape of an Iron Age village with aural augmented reality. This volume is a valuable resource for scholars and students of history and the digital humanities more broadly. It will inspire them to apply innovative methods to open new paths for conducting and sharing their own research.
Virtual Reality and Virtual Environments by
Virtual reality (VR) techniques are becoming increasingly popular. The use of computer modelling, and visualization is no longer uncommon in the area of ergonomics and occupational health and safety. This book explains studies conducted in a simulated, virtual world make it possible to test new solutions of designed workstations, offering a high degree of ease for introducing modifications and eliminating risk and work-related accidents. Virtual reality techniques offer a wide range of possibilities for people with disabilities and special needs assisting them in the process of adapting to workstations increasing cognitive abilities of elderly and using collaborative robots.The book includes testing protective devices, safety systems as well as numerical reconstruction of accidents at work to identify real causes of accidents. It will show the use of computer simulations in generic virtual environments and environments modelled on a target workstation to allow user adaptability. The book will provide examples of using virtual reality for training and improving workers' skills. With the use of virtual reality (VR) safety managers make it possible to train employees and test new solutions of designed workstations, offering a high degree of ease for introducing modifications and eliminating risk related to work. They virtual world will provide the perfect tools to support the engineering of safer workplace environment.
Virtual Reality Designs by
Virtual Reality is not real life. Instead it is life-like creations using computer-generated scenarios. Human behavior is replicated in virtual scenarios, where every detail is controlled by computers, and in situations that can be repeated under the same conditions. Based on technology and design, the user can experience presence. In the virtual world, users are embodied in avatars that represent them and are the means to interact with the virtual environment. Avatars are graphical models that behave on behalf of the human behind them. The user avatar is a proxy that also backs interaction with others, allowing computer-mediated interactions. Analyses directed to understand people's perceptions, personal and social behavior in computer mediated interactions, comprise a multidisciplinary area of study that involves, among others, computer science, psychology and sociology. In the last two decades a number of studies supported by Virtual Reality have been conducted to understand human behavior, in some cases the implications of the technology, or to reproduce artificial human behavior. This book presents a collection of studies from recognized researchers in the area.
AI 2041 : ten visions for our future by
How will artificial intelligence change our world within twenty years? A WALL STREET JOURNAL, WASHINGTON POST, AND FINANCIAL TIMES BEST BOOK OF THE YEAR * "This inspired collaboration between a pioneering technologist and a visionary writer of science fiction offers bold and urgent insights."--Yann LeCun, winner of the Turing Award; chief AI scientist, Facebook "Amazingly entertaining . . . Lee and Chen take us on an immersive trip through the future. . . . Eye-opening."--Mark Cuban AI will be the defining development of the twenty-first century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order. Meanwhile, AI will bring new risks in the form of autonomous weapons and smart technology that inherits human bias. AI is at a tipping point, and people need to wake up--both to AI's radiant pathways and its existential perils for life as we know it. In this provocative, utterly original work, Kai-Fu Lee, the former president of Google China and bestselling author of AI Superpowers, teams up with celebrated novelist Chen Qiufan to imagine our world in 2041 and how it will be shaped by AI. In ten gripping short stories, they introduce readers to an array of eye-opening 2041 settings, such as: * In San Francisco, the "job reallocation" industry emerges as deep learning AI causes widespread job displacement * In Tokyo, a music fan is swept up in an immersive form of celebrity worship based on virtual reality and mixed reality * In Mumbai, a teenage girl rebels when AI's crunching of big data gets in the way of romance * In Seoul, virtual companions with perfected natural language processing (NLP) skills offer orphaned twins new ways to connect * In Munich, a rogue scientist draws on quantum computing, computer vision and other AI technologies in a revenge plot that imperils the world By gazing toward a not-so-distant horizon, AI 2041 offers urgent insights into our collective future--while reminding readers that, ultimately, humankind remains the author of its destiny.
Five Nights at Freddy's by
The official movie novelization of the Five Nights at Freddy's movie!The hugely anticipated Five Nights at Freddy's movie from director Emma Tammi starring Matthew Lillard (Scream, Scooby-Doo) and Josh Hutcherson (The Hunger Games series, The Disaster Artist) hits theaters on October 27th, 2023, with a script from creator Scott Cawthon, Seth Cuddeback, and Emma Tammi. This movie novelization is a must-have for any Freddy fan!
The Imitation Game: Alan Turing decoded by
A New York Times Bestseller Selected as a 2017 ALA/YALSA Great Graphic Novel for Teens: Nonfiction Award winning authors Jim Ottaviani and Leland Purvis present a historically accurate graphic novel biography of English mathematician and scientist Alan Turing in The Imitation Game. English mathematician and scientist Alan Turing (1912-1954) is credited with many of the foundational principles of contemporary computer science. The Imitation Game presents a historically accurate graphic novel biography of Turing's life, including his groundbreaking work on the fundamentals of cryptography and artificial intelligence. His code breaking efforts led to the cracking of the German Enigma during World War II, work that saved countless lives and accelerated the Allied defeat of the Nazis. While Turing's achievements remain relevant decades after his death, the story of his life in post-war Europe continues to fascinate audiences today. Award-winning duo Jim Ottaviani (the #1 New York Times bestselling author of Feynman and Primates) and artist Leland Purvis (an Eisner and Ignatz Award nominee and occasional reviewer for the Comics Journal) present a factually detailed account of Turing's life and groundbreaking research - as an unconventional genius who was arrested, tried, convicted, and punished for being openly gay, and whose innovative work still fuels the computing and communication systems that define our modern world. Computer science buffs, comics fans, and history aficionados will be captivated by this riveting and tragic story of one of the 20th century's most unsung heroes.
Klara and the Sun by
Here is the story of Klara, an Artificial Friend with outstanding observational qualities, who, from her place in the store, watches carefully the behavior of those who come in to browse, and of those who pass on the street outside. She remains hopeful that a customer will soon choose her. Klara and the Sun is a thrilling book that offers a look at our changing world through the eyes of an unforgettable narrator, and one that explores the fundamental question: what does it mean to love?
The Memory Librarian : and other stories of dirty computer by
New York Times bestseller! In The Memory Librarian: And Other Stories of Dirty Computer, singer-songwriter, actor, fashion icon, futurist, and worldwide superstar Janelle Monáe brings to the written page the Afrofuturistic world of one of her critically acclaimed albums, exploring how different threads of liberation--queerness, race, gender plurality, and love--become tangled with future possibilities of memory and time in such a totalitarian landscape...and what the costs might be when trying to unravel and weave them into freedoms. Whoever controls our memories controls the future. Janelle Monáe and an incredible array of talented collaborators have crafted a collection of tales comprising the bold vision and powerful themes that have made Monáe such a compelling and celebrated storyteller. Dirty Computer introduced a world in which thoughts--as a means of self-conception--could be controlled or erased by a select few. And whether you were human, AI, or other, your life and sentience were dictated by those who'd convinced themselves they had the right to decide your fate. That was until Jane 57821 decided to remember and break free. Expanding from that mythos, these stories fully explore what it's like to live in such a totalitarian society . . . and what it takes to get out of it. Building off the tradition of speculative fiction writers such as Octavia E. Butler, Ted Chiang, Becky Chambers, and Nnedi Okorafor--and filled with powerful themes and Monáe's emblematic artistic vision--The Memory Librarian serves to readers tales that dissect the human trials of identity expression, technology, and love, reaching through to the worlds of memory and time, and the stakes and power that pulse there.
Novacene by
The originator of the Gaia theory offers the vision of a future epoch in which humans and artificial intelligence together will help the Earth survive. James Lovelock, creator of the Gaia hypothesis and the greatest environmental thinker of our time, has produced an astounding new theory about future of life on Earth. He argues that the Anthropocene--the age in which humans acquired planetary-scale technologies--is, after 300 years, coming to an end. A new age--the Novacene--has already begun. In the Novacene, new beings will emerge from existing artificial intelligence systems. They will think 10,000 times faster than we do and they will regard us as we now regard plants. But this will not be the cruel, violent machine takeover of the planet imagined by science fiction. These hyperintelligent beings will be as dependent on the health of the planet as we are. They will need the planetary cooling system of Gaia to defend them from the increasing heat of the sun as much as we do. And Gaia depends on organic life. We will be partners in this project. It is crucial, Lovelock argues, that the intelligence of Earth survives and prospers. He does not think there are intelligent aliens, so we are the only beings capable of understanding the cosmos. Perhaps, he speculates, the Novacene could even be the beginning of a process that will finally lead to intelligence suffusing the entire cosmos. At the age of 100, James Lovelock has produced the most important and compelling work of his life.
Recorder by
The Consortium is All. But Recorder Can No Longer Obey. Recorder has no family, no friends, and no name. Donated to the Consortium before birth, her sole purpose is to maintain and verify the records. A neural implant and drone ensure compliance, punishing for displays of bias. Suddenly cut off from controlling technology, Recorder tastes what it means to be human. But if the Consortium discovers her feelings, everyone she knows will be in danger. With no name, no resources, and only an infinitesimal possibility of escape, Recorder's time is running out.
Robot Dreams by
This collection of 21 of Isaac Asimov's short stories spans the body of his fiction from the 1940s to the 1980s--exploring not only the future of technology, but the future of humanity's maturity and growth.
Science Fiction and Philosophy: From Time Travel to Superintelligence by
Featuring numerous updates and enhancements, Science Fiction and Philosophy, 2nd Edition, presents a collection of readings that utilize concepts developed from science fiction to explore a variety of classic and contemporary philosophical issues. Uses science fiction to address a series of classic and contemporary philosophical issues, including many raised by recent scientific developments Explores questions relating to transhumanism, brain enhancement, time travel, the nature of the self, and the ethics of artificial intelligence Features numerous updates to the popular and highly acclaimed first edition, including new chapters addressing the cutting-edge topic of the technological singularity Draws on a broad range of science fiction's more familiar novels, films, and TV series, including I, Robot, The Hunger Games, The Matrix, Star Trek, Blade Runner, and Brave New World Provides a gateway into classic philosophical puzzles and topics informed by the latest technology
The Three-body Problem by
How do three celestial bodies move under their mutual gravitational attraction? This problem has been studied by Isaac Newton and leading mathematicians over the last two centuries. Poincare's conclusion, that the problem represents an example of chaos in nature, opens the new possibility of using a statistical approach. For the first time this book presents these methods in a systematic way, surveying statistical as well as more traditional methods. This book should be essential reading for students in a rapidly expanding field and is suitable for students of celestial mechanics at advanced undergraduate and graduate level.
Tomorrow, and Tomorrow, and Tomorrow by
NEW YORK TIMES BESTSELLER * Sam and Sadie--two college friends, often in love, but never lovers--become creative partners in a dazzling and intricately imagined world of video game design, where success brings them fame, joy, tragedy, duplicity, and, ultimately, a kind of immortality. It is a love story, but not one you have read before. "Delightful and absorbing." --The New York Times * "Utterly brilliant." --John Green One of the New York Times's 100 Best Books of the 21st Century * One of the Best Books of the Year: The New York Times, Entertainment Weekly, TIME, GoodReads, Oprah Daily From the best-selling author of The Storied Life of A. J. Fikry: On a bitter-cold day, in the December of his junior year at Harvard, Sam Masur exits a subway car and sees, amid the hordes of people waiting on the platform, Sadie Green. He calls her name. For a moment, she pretends she hasn't heard him, but then, she turns, and a game begins: a legendary collaboration that will launch them to stardom. These friends, intimates since childhood, borrow money, beg favors, and, before even graduating college, they have created their first blockbuster, Ichigo. Overnight, the world is theirs. Not even twenty-five years old, Sam and Sadie are brilliant, successful, and rich, but these qualities won't protect them from their own creative ambitions or the betrayals of their hearts. Spanning thirty years, from Cambridge, Massachusetts, to Venice Beach, California, and lands in between and far beyond, Gabrielle Zevin's Tomorrow, and Tomorrow, and Tomorrow examines the multifarious nature of identity, disability, failure, the redemptive possibilities in play, and above all, our need to connect: to be loved and to love.
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