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Books in Artificial intelligence

Our AI collection covers machine learning, natural language processing, robotics, and intelligent systems. Showcasing the latest algorithms, theoretical foundations, and real-world applications, these titles support researchers, practitioners, and students in advancing AI technologies. Emphasizing ethical considerations, explainability, and innovation, the content addresses challenges in automation, data analysis, and decision-making. This comprehensive portfolio fosters breakthroughs that shape the future of intelligent systems and their societal impact.

BooksJournals

    • Advances in Medical Imaging

      • 1st Edition
      • May 1, 2026
      • Dilber Uzun Ozsahin + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 8 9 6 7 5
      • eBook
        9 7 8 0 4 4 3 2 8 9 6 8 2
      Medical Imaging Application in Health Assessment and Disease Management is an all-encompassing book that explores the transformative power of medical imaging in various fields of medicine. It showcases the latest advancements and applications of medical imaging modalities, ranging from neurology and oncology to audiology and osteoporosis. The book highlights the role of medical imaging in understanding and treating neurological conditions, assessing bone health, unraveling hearing disorders, and diagnosing and treating oncological conditions. It also delves into the potential of artificial intelligence and machine learning in improving cancer diagnosis and treatment. The book explores the use of medical imaging in observing mental health conditions such as autism spectrum disorder and stress-related behavioral changes. This comprehensive resource is essential for researchers and professional engineers in the fields of medical image computing/processing... computer science, artificial intelligence, radiology, neuroscience, and biomedical research.

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

      • 1st Edition
      • May 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.

    • Metaverse and AI in Healthcare

      • 1st Edition
      • May 1, 2026
      • Jyotir Moy Chatterjee + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 9 5 8 1
      • eBook
        9 7 8 0 4 4 3 4 4 9 5 9 8
      Metaverse and AI in Healthcare: A Federated Learning Approach addresses the transformative integration of artificial intelligence and metaverse technologies in healthcare. It fills a critical gap by exploring how federated learning enables secure, decentralized data sharing and personalized medicine in virtual health platforms, meeting urgent demands for privacy, interoperability, and innovation. The book is structured into four parts covering foundational AI and federated learning concepts, augmented reality and metaverse applications, legal and cybersecurity challenges, and emerging strategic trends. Contributors from academia and industry present chapters on predictive modeling, cybersecurity frameworks, AR fitness, legal perspectives, and AI-driven medical tourism, supported by case studies and technical explanations. This reference equips graduate students, researchers, and professionals in academia and industry who specialize in computer science, federated learning, biomedical engineering, and digital healthcare with practical knowledge and forward-looking analysis. It empowers readers to navigate evolving digital health ecosystems, addressing data privacy, customized care, and global access challenges through federated learning and metaverse solutions.

    • Federated Learning for the Metaverse

      • 1st Edition
      • May 1, 2026
      • 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
      • 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.

    • Digital Twins for Sustainable Development

      • 1st Edition
      • April 1, 2026
      • Valentina Emilia Balas + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 3 8 8 9
      • eBook
        9 7 8 0 4 4 3 2 7 3 8 9 6
      Digital Twins for Sustainable Development covers digital twins for sustainability as a virtual representation of a physical system or environment, such as a building, city, or natural ecosystem and how they are used to support sustainable development and management practices. The book demonstrates how data from a variety of sources, such as sensors, satellite imagery, and other monitoring tools can be used for advanced analytics and modeling techniques to simulate the system's behavior over time. This allows researchers and professionals in computer science to manage complex systems and promote sustainable development and resource management practices.

    • 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
      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

      • 1st Edition
      • April 1, 2026
      • Vinaytosh Mishra
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 9 9 5 0
      • eBook
        9 7 8 0 4 4 3 3 3 9 9 6 7
      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.

    • Wearable Sensing and Assistive Devices for Robotic Rehabilitation

      • 1st Edition
      • April 1, 2026
      • Wei Meng + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 4 6 3 4
      • eBook
        9 7 8 0 4 4 3 4 0 4 6 4 1
      “Wearable Sensing and Assistive Devices for Robotic Rehabilitation” provides an overview of current research and developments in the field of innovative technologies for advanced wearable sensing and assistive devices in medical rehabilitation. This book presents a systematic investigation of the wearable acquisition and deep learning-based processing of biological signals and the applications with wearable robotic devices. It provides fundamental bio-mechatronics engineering knowledge to analyze and design new wearable sensing and assistive devices. It includes human wearable sensors design and development, biological signals acquisition and processing, brain-computer interface and neuromuscular interfaces, wearable exoskeleton and soft robotic devices, as well as human-centered interactive robot control.

    • 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 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.

Related subjects

Artificial intelligence expert systems and knowledge based systems

Artificial intelligence general

Cognitive science

Computer human interaction

Evolutionary computation genetic algorithms programming

Fuzzy logic

Machine learning

Natural language and computational linguistics

Neural networks

Planning and scheduling

Reasoning

Robotics and autonomous systems