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Catalogue complet

Self-Learning AI in Healthcare

Agentic Systems for Smarter Medicine

1. The Rise of Self-Learning AI in Healthcare: A New Era of Intelligent Medicine 2. Neural Networks and Deep Learning for Self-Adaptive Medical Systems 3. Unsupervised and Semi-Supervised Learning for Medical Data Analysis 4. Reinforcement Learning for Autonomous Decision-Making in Healthcare 5. Edge AI and On-Device Learning for Decentralized Healthcare Systems 6. Personalized Medicine with Self-Learning AI for Treatment Optimization 7. Hospital Workflow Optimization with Self-Learning AI 8. Self-Learning Powered Remote Patient Monitoring and Real-Time Adaptation 9. Self-Learning AI for Early Disease Detection and Preventive Medicine 10. Federated Learning for Privacy-Preserving Self-Learning AI in Healthcare 11. AI-Driven Personalized Rehabilitation and Adaptive Therapy 12. Self-Learning AI for Drug Discovery and Development Acceleration 13. Self-Improving AI for Mental Health Support and Cognitive Therapy 14. Autonomous AI for Personalized Treatment Plans 15. Adaptive AI in Radiology: Real-Time Image Interpretation and Diagnosis 16. Digital Twins in Healthcare: Self-Learning AI for Predictive and Preventive Medicine 17. Self-Learning AI for Medical Robotics: Towards Autonomous Surgical and Assistive Systems 18. The Future of Self-Learning AI in Healthcare: Challenges, Ethics, and Regulatory Considerations

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

A Commentary

The EU Artificial Intelligence Act

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

Chapter 1: Six Thinking Dimensions.- Chapter 2: White Dimension - The Factual AI-powered Viewpoint.- Chapter 3: Red Dimension - Feelings and Instincts AI-powered Viewpoint.- Chapter 4: Black Dimension - Judgement and Evidence AI-powered Viewpoint.- Chapter 5: Yellow Dimension - Optimistic AI-powered Viewpoint.- Chapter 6: Green Dimension - Creativity AI-powered Viewpoint.- Chapter 7: Blue Dimension - Process Management AI-powered Viewpoint.- Chapter 8: Six Thinking Dimensions - Holistic AI-powered Viewpoint.

Agentic Hyper-Personalized Dimensions – Six Dimensions of Business Dark Data
 explores how generative AI (Gen-AI), combined with agentic intelligence, can transform raw enterprise data into hyper-personalized, actionable insights. This book introduces a practical framework for building AI-powered agent swarms that operate across six critical dimensions of business dark data, empowering intelligent automation, decision augmentation, and strategic foresight at unprecedented scale.
 In an age when data is underutilized, organizations are overwhelmed by complexity, latency, and fragmentation. Traditional analytics pipelines fall short in handling dynamic environments and human-centric demands. This book addresses this critical gap by detailing how autonomous Gen-AI agents — built on foundational disciplines of data engineering, data science, and machine learning — can process, personalize, and operationalize hidden insights buried deep within enterprise systems. The six dimensions presented in the book form a cognitive and computational blueprint that guides the design, deployment, and evolution of agentic swarms. Each dimension focuses on a specific mode of intelligence — such as contextual reasoning, emotional alignment, or real-time adaptive sensing — and shows how AI agents can specialize within each domain to maximize business impact.Readers won’t just learn theory — they’ll explore field-tested methodologies to deploy Gen-AI-powered solutions at enterprise scale. From zoned data lakes and transformer models to swarm governance and consensus mechanisms, the book walks readers through the full life cycle of building intelligent systems that learn, evolve, and act with purpose. What makes this book essential — and unlike others in the market — is that the author is not writing from the sidelines. He is actively architecting and delivering these systems today, with firsthand insight into what works, what fails, and what the future holds. The methodology presented blends system design, human-aligned AI, industrial automation, and trusted decision-making, offering readers a rich and practical road map for AI-first enterprise innovation.What You Will Learn<ul><li>How to structure AI-powered agents across six interlinked cognitive and computational dimensions to effectively process dark data and deliver hyper-personalized, real-time business insights.</li><li>Practical knowledge on how to orchestrate swarms of Gen-AI agents — governed by Councils — that collaboratively manage complexity, detect emerging patterns, and operate autonomously in enterprise environments.</li><li>The foundational and advanced skills required to implement generative AI and agent-based intelligence within large-scale, multi-cloud, and hybrid business ecosystems.</li></ul>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;Who This Book is ForThis book is designed for professionals and practitioners operating at the intersection of artificial intelligence and business transformation. It is ideal for AI developers, data scientists, solution architects, enterprise engineers, and technical managers who are looking to move beyond the hype of generative AI and apply it meaningfully within industrial and enterprise-grade ecosystems.

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become ‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.
 Christopher Hamerton
 &nbsp;is&nbsp;Deputy Director of the Institute of Criminal Justice Research at the&nbsp;University of Southampton, UK.
 Craig Webber
 &nbsp;is&nbsp;Head of the Department of Sociology, Social Policy and Criminology at the&nbsp;University of Southampton, UK.

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.

Crime, Technology and the Web

Precarious Futures

A world transformed demands governance transformed.
In a world defined by accelerating technological change, deepening polarization, and an erosion of shared reality, Restoring Truth and Trust: An Agenda for the Intelligent Age offers a clear, grounded, and hopeful path forward. Drawing on 55 years of service to the global public interest, Klaus Schwab reflects on what it will take to navigate the transition from the Industrial Age to a truly Intelligent Age, one guided not merely by algorithms and data, but by values, responsibility, and human dignity.
Through a powerful blend of analysis, lived experience, and philosophical insight, this book explains why truth and trust have become the defining fault lines of our time, and how societies, institutions, and individuals can rebuild them. It presents constructive optimism not as idealism but as a disciplined and responsible approach to shaping a better future.
From corporate governance to environmental stewardship, from the social contract to globalization, from education to leadership, this book outlines a comprehensive, values-based agenda for how humanity can master the Intelligent Age rather than be mastered by it.
Restoring Truth and Trust is the third volume of Schwab's Intelligent Age Series. It is a compelling call to action for global citizens who refuse to accept decline as destiny, and who are ready to help build a more intelligent, humane, and trustworthy future.
The future can - and must - be better than the present.

An Agenda for the Intelligent Age

Restoring Truth and Trust

Pricing in the Age of AI

Building Resilience and Preventing Catastrophes

Integrating AI for Sustainable Disaster Management

Routledge African Studies

This book offers an ethnographic perspective on the practice of Global AIDS treatment in Africa, focused on local Catholic providers in Uganda. By demonstrating how Global AIDS treatment contributes to the local production of new inequalities, the book provides novel lessons on central contradictions of development and humanitarian practice.

This book offers an ethnographic perspective on the practice of Global AIDS treatment in Africa, focused on local Catholic providers in Uganda. By demonstrating how Global AIDS treatment contributes to the local production of new inequalities, the book provides novel lessons on central contradictions of development and humanitarian practice.

AIDS Treatment, Religion and the Politics of Life

Saving Lives in Africa

BestMasters

Einleitung.- Digitalisierung.- Künstliche Intelligenz.- Herausforderungen der Bankenbranche im Zeitalter der Digitali
sierung.- KI in der Bankenbranche.- Fazit.

Künstliche Intelligenz verändert Wirtschaft und Gesellschaft nachhaltig und eröffnet insbesondere für Banken neue Möglichkeiten, Prozesse zu optimieren und innovative Geschäftsmodelle zu entwickeln. Dieses Buch&nbsp;untersucht die Einsatzmöglichkeiten von Künstlicher Intelligenz in der Bankenbranche sowie die damit verbundenen Chancen und Risiken. Anhand einer umfassenden Analyse bestehender Literatur werden aktuelle Anwendungen und Potenziale von Künstlicher Intelligenz aufgezeigt – von Effizienzsteigerungen und automatisierten Entscheidungsprozessen bis hin zu strategischen Vorteilen im Wettbewerb. Gleichzeitig werden die Herausforderungen und Risiken beleuchtet, die Banken bei der Implementierung der Technologie beachten müssen. Die Arbeit liefert damit fundierte Erkenntnisse für die Praxis und bietet einen praxisnahen Überblick, wie Banken Künstliche Intelligenz nutzen können, um den Anforderungen des digitalen Zeitalters gerecht zu werden.

Einsatzmöglichkeiten, Chancen und Risiken

Künstliche Intelligenz in der Bankenbranche

Alive Inside: Unlock Your Leadership Advantage in the Age of AI delivers a groundbreaking leadership framework for reclaiming the distinctly human qualities - compassion, courage, intuition, presence, and storytelling - that keep leaders indispensable in our increasingly automated, AI-driven world.Blending historical narratives, neuroscience insights, and real-world case studies, Emmanuel Gobillot reveals seven practical principles, from authenticity over automation to stories over structures, that will transform readers' leadership style and energise their organisational culture. They will discover how vulnerability outperforms perfection, caring becomes a strategic advantage, and attention creates real authority.Packed with actionable strategies for building the human-centred leadership skills no machine can replicate, Alive Inside gives leaders the clarity, capability, and confidence to command trust, inspire teams, and shape cultures that thrive on creativity, connection, and meaning.Written for current and aspiring leaders, executives, and managers feeling pressured to act like machines, or fearing replacement by them, Alive Inside is vital for anyone in rapidly digitising industries seeking to protect their human edge while embracing technological advancement. It is also essential reading for leadership development professionals, business coaches, and students of organisational leadership.

Unlock Your Leadership Advantage in the Age of AI

Alive Inside

New Information Communication Technologies in the Digital Era

Self-Learning AI in Healthcare

Weitere Titel zum Thema