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Intelligent Technologies and Robotics (R0)

Ashok Kumar Yadav

Ali Ahmadian

Ajay Pratap

Multi-Attribute Decision-Making: Bridging Theory and Practice

&lt;p&gt;Chapter 1. Introduction to Decision Theory.- Chapter 2. Normalization Strategies.- Chapter 3. Subjective Weigh Methods.- Chapter 4. Objective Weight Methods.- Chapter 5. Integrated Weight Methods.- Chapter 6. Multi-Attribute Decision-Making Models.- Chapter 7. Challenges in MADM Models.- Chapter 8. Applications of MADM.&lt;/p&gt;

Regulating Big Tech beyond the Trans-Atlantic

Global Platform Governance

In a world where machines learn, evolve, and sometimes outthink us, Artificial Intelligence and Safety offers a rare, integrated lens into both the power and peril of intelligent systems. Drawing on the authors' unique blend of programming mastery and enterprise risk leadership, this guide is your compass in the age of intelligent machines.This book goes beyond traditional risk management frameworks by integrating the latest advancements in artificial intelligence (AI) and generative AI. Combining real-world case studies, Socratic questioning, and the wisdom of AI governance pioneers, it journeys through the evolution of AI, the rise of deep learning, and the practical implications of large language models (LLMs) and retrievalaugmented generation (RAG). The authors translate complex technical knowledge into actionable insights and teach how to use Python not just for prediction, but for protection-turning code into a risk management ally. Readers will understand how to embed ethics by design, assess emerging risks, and confidently apply AI governance frameworks.This guide demystifies AI for everyone-from software architects to policymakers and risk managers. Whether you're crafting LLMs or setting enterprise policy, this book empowers you to not only ask the right questions but build the right systems, because the future of AI isn't just about building intelligence, it's about building it responsibly.

A Practical Guide for Programmers and Decision Makers

Artificial Intelligence and Safety

How can retailers implement the right strategies to optimize customer journeys and adapt to rapid technological change?

The Future of Shopping is a practical guide for managers, brand leaders and retail professionals who want to develop strategies that combine digital innovation with core retail principles. While the fundamentals of why people buy remain constant, how retailers apply them has been transformed by data, AI and emerging platforms.

Written by retail technology expert Miya Knights, this book draws on real-world examples from Amazon, Tesco, Walmart and Temu to show how technology is reshaping the shopping experience. With detailed frameworks and actionable tools, it equips professionals to strengthen credibility, apply models with confidence and deliver measurable career and business impact.

You'll learn how to:
- Apply data-driven insights to anticipate customer needs before they arise
- Implement retail media networks to enhance reach and engagement
- Develop strategies that combine sustainability with digital transformation
- Optimize personalization by aligning generative AI with the human touch
- Build models that connect innovation to measurable business performance

Covering every stage of the customer journey, The Future of Shopping equips mid-career professionals to implement new technologies strategically, optimize performance and advance their influence in a competitive sector.

Themes include: retail strategy, customer journey optimization, digital innovation, retail media networks, sustainability in retail, AI personalization

Using Digital, Data and AI to Win with Customers

The Future of Shopping

How can European public law effectively address the profound rights challenges posed by AI systems? This groundbreaking book delves into this pressing question by critically analysing the limitations of current regulatory frameworks, including the Artificial Intelligence Act, the General Data Protection Regulation, and European human rights law. Drawing on leading judgments from the European Court of Human Rights and the Court of Justice of the European Union, the book explores real-world case studies of AI systems employed by public authorities, highlighting their impact on fundamental rights. Arguing that the EU's risk-based regulation approach falls short in protecting fundamental and human rights, the author introduces a compelling alternative: a rights-based inter-legal approach grounded in the theory of inter-legality. This innovative framework emphasises the 'publicness' and 'inter-systemic' nature of AI, advocating for a lifecycle perspective - from design to deployment and beyond. Rich with legal insights and practical methodology, this book presents a three-step adjudication model to integrate the inter-legal approach into European legal practice, paving the way for a more robust protection of fundamental principles, rules and rights in the AI era. Essential reading for scholars, policymakers and practitioners, this work redefines how Europe can lead the charge in responsible AI regulation.

A Rights-Based Inter-Legal Approach to Artificial Intelligence

Beyond the Human Touch: AI's Revolution in Healthcare provides a comprehensive, accessible, and engaging exploration of how Artificial Intelligence (AI) is transforming healthcare. The book aims to serve as a definitive guide for healthcare professionals, policymakers, researchers, and students, offering insights into the practical applications, ethical considerations, and future potential of AI in the healthcare sector. This book benefits the healthcare and AI communities by:¿ Providing a thorough understanding of how AI technologies are being integrated into various aspects of healthcare.¿ Offering practical insights and strategies for implementing AI in clinical and administrative settings.¿ Highlighting the ethical and regulatory considerations necessary for responsible AI adoption.¿ Envisioning the future of AI in healthcare, including its potential to address global health disparities.

AI's Revolution in Healthcare

Beyond the Human Touch

Recursions

A Media Theory of Machine Learning

Errant Intelligence

A practical guide for professionals, corporate executives, entrepreneurs, and college students who want to achieve personal success without compromising their morals Whether in our daily work or in our personal life, even the most conscientious people with the best intentions can make ethically questionable decisions. The 5 Questions for Ethical Decisions helps you identify your own ethical “true north” and avoid the costly missteps that can betray your values, damage your relationships, and even end careers. Each of the book’s five chapters begins with a provocative question that illustrates a foundational aspect of ethical practice and explains how to apply these questions to define and uphold your own values. This practical yet robust framework provides a process for ethical decision-making in professional and personal matters that strengthens self-awareness, improves intentionality in decision-making, and enhances the ability to think beyond the moment in a pressure-packed, fast-paced, and rapidly changing world. Drawing on David Miller’s two decades of experience teaching professional responsibility and ethics to a diverse audience, including undergraduate and graduate students, entrepreneurs and young professionals, and senior executives and civic leaders, The 5 Questions for Ethical Decisions offers compelling and inspiring stories of moral courage and success, cautionary tales of ethical compromise and failure, plus end-of-chapter takeaways and exercises to help build your “ethical fitness.”

How to Succeed Without Selling Your Soul

The 5 Questions for Ethical Decisions

Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time-fast, private, and reliable even when the network disappears.This book is your practical guide to building exactly those kinds of systems with the Raspberry&nbsp;Pi AI&nbsp;HAT+ and the Hailo-8L accelerator. You'll start with clear foundations: core&nbsp;AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge&nbsp;AI from cloud AI-plus an honest look at ethical considerations and future impacts.Then it's straight to hands-on physical computing. Step by step, you'll set up Raspberry&nbsp;Pi&nbsp;OS, power and cooling, and develop in Python using the Thonny&nbsp;IDE. You'll learn GPIO basics with lights and servos, mount the AI&nbsp;HAT+ hardware, install and verify the Hailo software stack, and connect the right camera-official modules or USB webcams, even multiple cameras.From your first pipeline to real projects, you'll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You'll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm.With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge&nbsp;AI from buzzword into buildable reality.

AI Projects for the Raspberry Pi with the AI HAT+

Edge AI Made Practical

Routledge Advances in Management and Business Studies

This book covers the relationship between artificial intelligence and sustainability goals, bringing together cutting-edge research and insights from business researchers and practitioners.Through real-world case studies from a variety of industries and regions around the world, the book examines how AI can optimise processes, reduce carbon footprints, and support climate action. It also delves into the ethical considerations of deploying AI in an environmentally conscious manner, ensuring that AI's benefits are realised without compromising the planet's well-being.A valuable resource for academics in the fields of AI, sustainability, and business practices. The book will also interest university administrators, industry professionals, and policymakers seeking to drive positive, sustainable change in their respective fields.

Strategies for Modern Businesses

AI-Powered Sustainability

This book fills a significant gap by providing a leadership guide to balance innovation and safety. With the rapid business transformation underway to leverage artificial intelligence (AI), executives must allocate substantial investments in governance, corporate purpose, and risk management tailored to their organization's strategic goals. The stakes are high, and very few organizations are generating positive returns on their investments. As a result, leaders must reevaluate their strategies, focusing on maximizing benefits while curtailing unnecessary costs. This book emphasizes the importance of carefully integrating humans into AI processes and introduces a robust leadership framework that prioritizes innovation without compromising safety. Diverse industry examples offer rich insights into pathways for striking a balance between advancing AI capabilities and mitigating potential risks.This book equips leaders with the tools to navigate the complexities of AI responsibly. It sheds light on often¿verlooked topics in major AI literature, including in¿epth discussions on strategic scenarios, risks and controls, legal frameworks, and effective measurement systems. Offering a wealth of strategic and operational insights from credible sources, this authoritative resource is indispensable for senior executives aiming to design, develop, and implement successful AI initiatives within their organizations.

An Executive Guide to Balancing AI Innovation and Safety

The AI Precipice

An intimate portrait of the world's most brilliant tech visionary and his game-changing company DeepMind, from award-winning financial journalist and historian Sebastian Mallaby Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in North London, a chess prodigy by five and wizard coder in his teens, he turned down a seven-figure job offer from a video-game studio to study science at Cambridge. Long before the current obsession with AI, he founded the path-breaking company DeepMind in order to pursue a single, audacious goal: the dream of artificial superintelligence, which would solve humanity's hardest problems, change life and work as we know it, and perhaps even unlock the deepest mysteries of the Universe. For his scientific achievements, he won a Nobel Prize in 2024, and his company, now Google DeepMind, is considered the tech giant's engine room. For the past three years, Sebastian Mallaby has had unprecedented access to Hassabis and DeepMind, conducting hundreds of hours of interviews with him and his inner circle as well as detractors and rivals at other companies. The result is a revelation-packed portrait of a singular mind and a historic reckoning with the AI revolution, a shift potentially more significant than any since the dawn of complex thought 70,000 years ago. As Mallaby chronicles, DeepMind is locked in an arms race with Silicon Valley competitors to build artificial general intelligence, and thereby become the keeper of humanity's future. Yet this is not a Silicon Valley story. Hassabis has remained in Britain, and unlike his rivals, his aims are not wealth and power but scientific enlightenment. Like them, however, he is haunted by the memory of Robert Oppenheimer, the creator of the atom bomb. He aims to control the technology, but the technology may ultimately control him - and humanity writ large.

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

Multi-Attribute Decision-Making: Bridging Theory and Practice

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