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Books in Artificial intelligence general

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    • Federated Learning for the Metaverse

      Applications in Virtual Environments
      • 1st Edition
      • Noor Zaman Jhanjhi + 3 more
      • English
      Federated Learning for the Metaverse: Applications in Virtual Environments provides readers with insights into how federated learning, a decentralized machine learning paradigm, can be strategically applied to address critical aspects of the metaverse. The book covers a wide range of topics, including privacy-preserving personalization, security, collaboration, adaptive learning environments, real-time communication, decentralized governance, language understanding, immersive learning experiences, avatar customization, and dynamic scene rendering.

    • Advanced Intelligence Methods for Data Science and Optimization

      • 1st Edition
      • Amir Hossein Gandomi + 2 more
      • English
      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.

    • The Governance of Artificial Intelligence

      • 1st Edition
      • Tshilidzi Marwala
      • English
      The Governance of Artificial Intelligence stands out as a comprehensive guide that unifies the essential dimensions of artificial intelligence—values, data, algorithms, computing, applications, and governance—within a single volume. The book offers expert guidance on each of these topics, blending engineering insight with governance strategies. It proposes a holistic approach to AI governance, emphasizing the importance of proactive and balanced policies that foster innovation while safeguarding ethical standards. Prioritizing social welfare and human rights, this work advocates for maximizing AI’s benefits and minimizing its risks through effective, integrative governance structures.Moreover, the book highlights the need for a versatile governance model that draws from various disciplines and champions diversity. It stresses the importance of leveraging existing regulatory frameworks, ethical guidelines, and industry standards, while encouraging active collaboration among governments, businesses, civil society, and academia. Structured into six sections and 33 chapters, the book systematically explores core principles, data concerns, algorithms, computing, practical applications, and governance challenges, making it a crucial resource for understanding the evolving landscape of AI oversight.

    • Digital Supply Chain Transformation

      Implementing Technology, Analytics, and Data-Driven Solutions
      • 1st Edition
      • Vinaytosh Mishra
      • English
      Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions offers an in-depth exploration of how digital innovation is reshaping modern supply chain management. The book seamlessly blends theoretical concepts with practical application, ensuring readers not only grasp fundamental supply chain principles but also see how technologies like machine learning, AI, and system dynamics modeling are transforming the industry. Readers are guided through the evolving landscape of supply chains, learning to harness digital tools and analytics for improved efficiency, accuracy, and end-to-end visibility in operations.This comprehensive resource equips readers to tackle real-world challenges by applying advanced technologies and analytics to supply chain problems. It highlights the growing importance of data-driven decision-making, encourages critical evaluation of strategies and solutions, and anticipates emerging trends and future opportunities. By merging theory with hands-on practice, the book enables professionals to drive innovation and recommend informed improvements in the rapidly advancing field of supply chain management.

    • The AI Ideal

      AIdealism and the Governance of AI
      • 1st Edition
      • Niklas Lidströmer
      • English
      The AI Ideal: AIdealism and the Governance of AI reimagines the role artificial intelligence can play in shaping our future. Rather than warning of catastrophe, Lidströmer presents a proactive vision—one where AI strengthens democracy, ethics, and human dignity through a global framework rooted in European Enlightenment ideals, Scandinavian social values, and Swiss direct democracy. His approach, dubbed AIdealism, rejects extreme ideologies and advocates for pragmatic, ethical solutions, aiming to use AI for justice, enlightenment, and the common good. This book calls for action in harnessing AI to create a world that is sustainable, free, and prosperous for all.Far from promising utopia, the book acknowledges the risks AI poses—empowering autocrats, disrupting economies, and threatening human agency. Yet, it argues that with foresight and courage, AI can become a powerful tool for wisdom, fairness, and progress. It offers a practical action plan for using AI to address daily dilemmas, from education and healthcare to climate responsibility, while exploring topics as varied as philosophy, politics, ethics, music, mathematics, and medicine. Ultimately, it serves as a visionary, ethically grounded manifesto for those seeking a constructive roadmap for the AI revolution.

    • Cybersecurity for Healthcare Systems in the Internet of Medical Things Era

      • 1st Edition
      • Janmenjoy Nayak + 2 more
      • English
      Cybersecurity for Healthcare Systems in the Internet of Medical Things Era is driven by the imperative to address the intricate convergence of healthcare, technology, and security. In response to the burgeoning challenges presented by the Internet of Medical Things (IoMT), this book is designed to be an indispensable resource for computer systems experts, healthcare staff, and executives. It goes beyond the surface, offering strategic insights and actionable strategies that encompass not only the IoMT landscape but also the intersection of artificial intelligence, signal processing, and cyber security. Cybersecurity for Healthcare Systems in the IoMT Era serves as a problem-solving compass for a diverse readership in the healthcare landscape. For healthcare professionals and IT leaders, the book untangles the complexities of integrating and securing Internet of Medical Things (IoMT) devices, offering a roadmap for understanding and navigating this rapidly evolving terrain. Biomedical engineers, burdened with strategic and everyday decisions, find in this book strategic insights and actionable strategies, empowering them to make informed choices amidst the ever-changing challenges posed by technology and cybersecurity threats. The authors present a comprehensive guide that not only elucidates the challenges and opportunities presented by IoMT but also explores how the synergy of AI and signal processing can elevate healthcare systems. This integration is crucial in deciphering the intricate nuances of medical data, enhancing diagnostics, and fortifying the security of interconnected healthcare networks.

    • Harnessing Artificial Intelligence to Ensure Diverse Global Teams

      • 1st Edition
      • Harish Garg + 3 more
      • English
      Harnessing Artificial Intelligence to Ensure Diverse Global Teams explores new research and applications of AI which can be used to address the distinct challenges of diverse, distributed teams. Incorporating compelling case studies and strategic guidance, the book demonstrates how AI can be developed and applied within systems and programs to promote inclusion, break down barriers, and enhance collaboration in cross-cultural organizational settings. Providing case studies and examples, this book equips computer scientists and engineers with actionable strategies for integrating AI seamlessly into programs and applications designed for diverse global teams. With contributions from experts in AI and team dynamics, this book will benefit leaders and team members seeking to leverage AI for improved teamwork across geographical and cultural boundaries, providing an up-to-date resource for uniting, uplifting, and optimizing global collaborations through inclusive artificial intelligence.

    • Connected Diagnoses

      IoT, Healthcare, and Digital Forensics
      • 1st Edition
      • Keshav Kaushik + 1 more
      • English
      Connected Diagnoses: IoT, Healthcare, and Digital Forensics offers a detailed examination of the dynamic relationships among Internet of Things (IoT) technology, healthcare practices, and digital forensics. By exploring how these fields intersect, the book underscores the transformative impact of connected devices on patient care, data security, and investigative processes. Readers will gain a deeper understanding of the ethical dilemmas and cybersecurity challenges that arise as medical technology becomes increasingly integrated with digital networks. Through expert insights and real-world examples, the book provides practical strategies for navigating this evolving landscape and improving outcomes in both medical and forensic settings.Beyond its emphasis on cybersecurity and ethics, the book discusses legal implications, regulatory frameworks, and emerging trends in the deployment of IoT within healthcare environments. It delivers guidance on best practices for data management and forensic evidence collection, helping professionals stay ahead in a rapidly changing technological landscape.

    • AI and Data Science in Medical Research

      • 1st Edition
      • Olfa Boubaker
      • English
      AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

    • Learning-Driven Game Theory for AI

      Concepts, Models, and Applications
      • 1st Edition
      • Mehdi Salimi + 1 more
      • English
      Learning-Driven Game Theory for AI: Concepts, Models, and Applications offers in-depth coverage of recent methodological and conceptual advancements in various disciplines of Dynamic Games, namely differential and discrete-time dynamic games, evolutionary games, repeated and stochastic games, and their applications in a variety of fields, such as computer science, biology, economics, and management science. In this book, the authors bridge the gap between traditional game theory and its modern applications in artificial intelligence (AI) and related technological fields. The dynamic nature of contemporary problems in robotics, cybersecurity, machine learning, and multi-agent systems requires game-theoretic solutions that go beyond classical methods. The book delves into the rapidly growing intersection of pursuit differential games and AI, focusing on how these advanced game-theoretic models can be applied to modern AI systems, making it an indispensable resource for both academics and professionals. The book also provides a variety of applications demonstrating the practical integration of AI and game theory across various disciplines, such as autonomous systems, federated learning, and distributed decision-making frameworks. The book also explores the use of game theory in reinforcement learning, swarm intelligence, multi-agent coordination, and cybersecurity. These are critical areas where AI and dynamic games converge. Each chapter covers a different facet of dynamic games, offering readers a comprehensive yet focused exploration of topics such as differential and discrete-time games, evolutionary dynamics, and repeated and stochastic games. The absence of static games ensures a concentrated focus on the dynamic, evolving problems that are most relevant today.