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Morgan Kaufmann

    • Quantum Communication and Cryptography

      • 1st Edition
      • April 1, 2026
      • Walter O. Krawec
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 5 3 2 2
      • eBook
        9 7 8 0 4 4 3 2 1 5 3 3 9
      Quantum Communication and Cryptography introduces readers to the theory of quantum cryptography, with a focus will on quantum key distribution (QKD) and more advanced quantum cryptographic protocols beyond QKD. It contains a brief introduction to the field of modern cryptography that is needed to fully appreciate and understand how quantum cryptographic systems are proven secure, and how they can be safely used in combination with current day classical systems. Readers are then introduced to quantum key distribution (QKD) - perhaps the most celebrated, and currently the most practical, of quantum cryptographic techniques.Basic protocols are described, and security proofs are given, providing readers with the knowledge needed to understand how QKD protocols are proven secure using modern, state- of-the-art definitions of security. Following this, more advanced QKD protocols are discussed, along with alternative quantum and classical methods to improve QKD performance. Finally, alternative quantum cryptographic protocols are covered, along with a discussion on some of the practical considerations of quantum secure communication technology. Throughout, protocols are described in a clear and consistent manner that still provides comprehensive, theoretical proofs and methods.

    • Digital Design using VerilogHDL

      • 1st Edition
      • April 1, 2026
      • Shilpi Birla + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 0 8 8 6
      • eBook
        9 7 8 0 4 4 3 2 9 0 8 9 3
      Digital Design using VerilogHDL: VLSI Modeling, Coding and Verification covers the concepts of digital logic design, including, logic simplification and optimization for digital circuit synthesis and implementation, design and integration of logics (combinational and sequential) in the building of digital circuits and systems, the practical aspects of number systems, the use of VerilogHDL in the logic design, testbench verification, and the synthesis of digital circuits and systems with HDL code examples. Users will find an approach to the design, integration, verification, and synthesizing of a digital logic circuit, complete with coding examples.

    • Advanced Intelligence Methods for Data Science and Optimization

      • 1st Edition
      • April 1, 2026
      • Amir Hossein Gandomi + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 8 9 4 0 8
      • eBook
        9 7 8 0 4 4 3 2 8 9 4 1 5
      Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains.It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon, and will be a welcomed resource for AI researchers, data scientists, engineers, and developers on key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.

    • Designing User Interfaces for an Aging Population

      • 2nd Edition
      • April 1, 2026
      • Jeff Johnson + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 7 3 0 7
      • eBook
        9 7 8 0 4 4 3 3 3 7 3 1 4
      Despite the fact that older adults constitute an ever-growing proportion of the technology-using population, they have often been overlooked when researchers study the habits, abilities, and needs of various user groups. Similarly, many developers and researchers come up short when trying to create new technologies, devices, and interfaces that will satisfy a more general user profile. User study participants have tended to be younger, physically and cognitively fit, and technologically savvy. In Designing User Interfaces for an Aging Population, Second Edition, the authors present the demographics of older adults as a broad group, and describe general sensory, cognitive, physical, and emotional characteristics of older adults. Each age-related characteristic is linked to its potential impact on older adults’ use of digital technology, with examples of problematic technology designs. To improve the user satisfaction, success, and overall experience of using (digital) technology, the authors offer specific design guidelines. These guidelines have been derived from the findings and evidence presented in hundreds of research studies. The studies are sourced from around the world, and address a wide range of study participants and technologies. The second edition is thoroughly updated, including examples, guidelines, and case studies to reflect recent developments in the areas of AI, Robotics, Speech Recognition, and other relevant emerging technologies. Readers will benefit from learning: demographics of users of digital technology; age-related factors affecting ability to use digital technology; common design issues that decrease usability for older adults; guidelines that can help designers avoid these common pitfalls; methods for working with older adults on research and design projects.

    • Mastering DevOps

      • 1st Edition
      • April 1, 2026
      • Chinmaya Kumar Dehury + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 5 0 3 2 7
      • eBook
        9 7 8 0 4 4 3 4 5 0 3 3 4
      Mastering DevOps: A Cloud Engineering and Data Science Perspective addresses the challenge of understanding and implementing DevOps in an era of rapid technological advancement, where cloud-based infrastructure and data science applications have become integral to many organizations. The book covers the specific requirements of these fields, such as scalability, automation, and managing large-scale data and containerized applications. Mastering DevOps offers readers the knowledge and skills necessary to build, deploy, and manage DevOps practices effectively within the context of cloud engineering and data science. The book focuses on DevOps principles while integrating core technologies such as cloud computing, microservices, and continuous integration/continuo... delivery (CI/CD). Additionally, the book provides coverage of a DevOps approach tailored to data science by covering recent advancements and explaining their relevance in a DevOps environment. The structure of the book is divided into four units, each progressively building on the concepts of the previous one. The first unit (Unit 1: Foundations of DevOps) provides the fundamental principles of DevOps, including its history, planning, and essential tools like Git. The second unit (Unit 2: Core Technologies and Architectures) introduces the core technologies and architectures that power modern DevOps, such as microservices, cloud computing, and containerization. The third unit (Unit 3: CI/CD Practices and Automation) focuses on the practical implementation of DevOps, exploring key practices like continuous integration, automation, and monitoring. Finally, the fourth unit (Unit 4: Advanced Topics and Data Science Perspective) delves into advanced topics and future trends, such as deployment strategies and the extension of DevOps principles to data science and other narrowed-down domains.

    • Digital Outcasts

      • 2nd Edition
      • April 1, 2026
      • Kel Smith
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 6 7 7 5
      • eBook
        9 7 8 0 4 4 3 3 3 6 7 8 2
      The blind person attempting to make an online purchase. The young girl who cannot speak due to a cognitive disability. The man confined to his home due to permanent injury. The single mother with a long-term illness who struggles to feed her family. The neurodivergent jobseeker trying to launch their career. Digital access to employment, education, healthcare, companionship and security are essential in today’s world. With one in six people worldwide currently living with some form of a disability, the term "outcast" covers a wide continuum of critical life impacts. As the number of people with disabilities increases, poorly designed products and services risk alienating this important and growing population. “Digital outcasts” is a term used to describe those left behind the technological curve, due either to a lack of accessibility or the social, economic, and political attributes often associated with disability. Through a grass roots approach to innovation, however, digital outcasts are taking action to transform their lives, homes, and communities. The legacy of human-computer interaction is scaffolded upon the efforts of the disenfranchised user, evinced by the role disability has historically played as a catalyst for design innovation. Citing real-world case studies spanning law, healthcare, creative arts, and social science, Digital Outcasts 2e examines the emergent cultural impact of inclusive design on today’s industrial landscape. Taking into account new legal and technological perspectives, this revision stands as an update on the progress we’ve made—and how far we’ve yet to go.

    • The AI Ideal

      • 1st Edition
      • April 1, 2026
      • Niklas Lidströmer
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 9 7 2 7
      • eBook
        9 7 8 0 4 4 3 4 4 9 7 3 4
      The AI Ideal: Aidealism and the Governance of AI, Dr. Niklas Lidströmer presents a bold alternative to the prevailing AI doom narratives. While nearly all other experts focus solely on warning of catastrophe, Dr Lidströmer also offers an actionable vision for ensuring AI strengthens democracy, ethics, and human dignity. Instead of allowing AI to concentrate power in the hands of a few, he argues for a new global framework—one where AI serves justice, enlightenment, and human betterment. Rooted in European Enlightenment ideals, Scandinavian social model and liberalism, and Swiss direct democracy, Aidealism rejects extreme ideologies and champions pragmatic, ethical, and forward-thinking solutions. From free education and healthcare to AI-driven economic justice and climate responsibility, this book explores how AI can help build a sustainable, free, and prosperous world—if we act now. Yet Aidealism does not promise utopia. The risks are real. The threats are mounting. AI could empower autocrats, disrupt economies, and undermine human agency. But it could also be our greatest tool for wisdom, fairness, and progress—if governed with foresight and courage. This book explicitly gives a manifesto for practical action. An action plan for how to harness and use AI for the common good, so that it benefits us all, rather than the few. The book elaborates on the daily conundrums of the human species; our nature, origins, goodness and cruelty, memes, hierarchies, political structures and how to build a fairer, more just, peaceful and benevolent society. It also tries to explain the core of AI for the general audience. It delves into a very broad range of areas, from philosophy to music, politics to ethics, and mathematics and physics to sociology and medicine. It tries to usher in an technological Enlightenment to save us from the threat of a malign and Machiavellian use of AI. This is not another AI dystopia, nor is it blind optimism. It is a manifesto for action—a call to use AI not just to enhance intelligence, but to make humanity nobler. The AI revolution is not something happening to us—it is something happening through us. The only question is: Will we build wisely? For those seeking a visionary, constructive, and ethically grounded roadmap for AI—one written in the spirit of true idealism—this book is essential reading.

    • The Governance of Artificial Intelligence

      • 1st Edition
      • April 1, 2026
      • Tshilidzi Marwala
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 3 2 2 1
      • eBook
        9 7 8 0 4 4 3 3 6 3 2 3 8
      Artificial Intelligence governance is complicated by the fast pace of technological progress, the opaqueness of AI algorithms, worries about bias and impartiality, the requirement for accountability in AI-based decisions, and the global nature of AI development and deployment. The issue of AI governance is a developing one, and The Governance of AI is the first book that covers all the key topics in one book: AI values, Data, Algorithms, Computing, Applications, and Governance. The Governance of AI provides top-level guidance on all these topics from an engineering and governance perspective, while proposing a unifying framework for AI governance. An essential approach to AI governance is a proactive and comprehensive strategy that efficiently balances innovation and ethical concerns. The strategy presented in this book prioritizes social welfare and upholds human rights by maximizing the benefits of AI while reducing its negative aspects. In order to address these issues, it is essential to implement a versatile governance structure that incorporates several fields of study and encourages diversity. Additionally, utilizing existing regulatory frameworks, ethical standards, and industry benchmarks is essential. Moreover, it is crucial to integrate cooperation between governments, economic organizations, civil society, and the academic community under a multi-stakeholder framework to promote transparency, accountability, and public trust in AI systems. Furthermore, it is imperative to cultivate global cooperation in regulating AI because AI technology and its impacts extend beyond national boundaries. AI governance involves establishing worldwide norms and standards that encourage coordinating governance efforts while recognizing cultural and geographical differences. The Governance of AI is structured into six distinct sections and comprises 33 chapters. The first section comprises the chapters that address the principles that govern artificial AI. The second section has chapters that specifically address data-related topics. The AI algorithms are discussed in the third section. The fourth section has chapters that address the issue of computing. The fifth section has chapters that specifically address applications. The sixth section has chapters that address the topic of AI governance.

    • Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

      • 1st Edition
      • March 1, 2026
      • Manuel González Canché
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 9 6 1 0
      • eBook
        9 7 8 0 4 4 3 2 1 9 6 0 3
      Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools—just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

    • Signal Processing Roadmap

      • 1st Edition
      • March 1, 2026
      • Pushan Kumar Dutta + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 1 7 2 5
      • eBook
        9 7 8 0 4 4 3 3 3 1 7 3 2
      Signal Processing Roadmap: Technologies, Applications, and Future Directions presents a comprehensive exploration of innovative and advanced signal processing techniques, catering to the needs of engineers, researchers, and technologists. The book offers critical evaluations of the latest methods that drive intelligent and reliable measurement and monitoring solutions across diverse applications. Backed by practical examples, it demonstrates the real-world impact of signal processing in areas such as the Internet of Things, biomedical devices, and more. Through its forward-looking approach, the book aims to consolidate current advancements while pointing toward future opportunities and challenges in the field.In addition to covering uncertainty modeling and key signal processing considerations, the book delves into the latest developments in hybrid information system modeling, emphasizing its practical uses in fields like finance, healthcare, and engineering. Readers will find detailed case studies that illustrate how these models address complex, real-world problems. The text also thoroughly reviews foundational theories related to non-linear optimization, fuzzy sets, and rough sets.

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