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This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selecta

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Computer Science (R0)

Federico Cecconi

AI in the Financial Markets

New Algorithms and Solutions

&lt;p&gt;Chapter 1. Artificial Intelligence and Financial Markets.- Chapter 2. AI, the overall picture.- Chapter 3. Financial markets: values, dynamics, problems.- Chapter 4. The AI's Role in the Great Reset.- Chapter 5. AI Fintech: find out the truth.- Chapter 6. ABM applications to Financial Markets.- Chapter 7. ML application to the Financial Market.- Chapter 8. AI tools for pricing of distressed asset utp and npl loan portfolios.- Chapter 9. More than data science: FuturICT 2.0.- Chapter 10. Opinion dynamics.&lt;/p&gt;&lt;br&gt;&lt;p&gt;&lt;/p&gt;

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This comprehensive textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.From fundamental concepts to practical applications, the book is divided into three sections. Part One establishes the foundational principles of industrialized construction and introduces the revolutionary potential of AI and robotics. Part Two delves deep into six critical operational areas: AI-driven design systems, agile production processes, intelligent supply chain management, automated on-site assembly, predictive maintenance, and smart work packaging. The final section examines current challenges, from technical and financial constraints to regulatory considerations, before exploring emerging trends and future innovations. Each chapter features detailed case studies and practical examples that bridge theory and real-world implementation.Written for a diverse audience, this essential resource serves as both an academic textbook and a professional reference. Students in Civil Engineering, Industrial Engineering, Construction Engineering and Management, and AI &amp; Robotics programs will find it invaluable for understanding the intersection of these disciplines. Industry practitioners, including construction managers, project engineers, and technology integrators, will gain practical insights into implementing AI and robotics solutions. Whether you're preparing for a career in modern construction, leading technological transformation in your organization, or conducting advanced research in the field, this book provides the interdisciplinary knowledge needed to succeed in construction's AI-driven future.

Industrialized Construction in the Age of AI and Robotics

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

Boost your AI quotient for AI-ready leadership.Most leaders know that AI can deliver efficiency gains, making it a company priority in a challenging business environment. But the pace of change is outstripping their ability to adapt. More than 75% of leaders report that AI is creating challenges they have never faced before and these new challenges, anxieties and uncertainty about the future are creating a 'readiness gap'.AI-Q, your AI Quotient, is both a new metric for assessing readiness and a framework for building it. Use the AI-Q MAP (Mindset, Abilities and Practices) to: <ul> <li> assess where you are today </li> <li> identify the critical gaps, and </li> <li> build the leadership and organizational capabilities you need to ensure your AI investments deliver returns. </li> </ul>Futurist and economist Athena Peppes draws on research from leading institutions and expert interviews to offer a new approach to AI-readiness, the new critical leadership capability in the human+AI era.

The new leadership imperative for the Human+AI era

AI-Q

Künstliche Intelligenz ist die neue Elektrizität. Sie verändert den Tourismus nicht nur, sie schreibt die Spielregeln neu.
Doch während täglich neue Tools und Buzzwords entstehen, wächst die Unsicherheit: Wo anfangen? Was ist Hype, was ist strategische Notwendigkeit? Und wie nutzen wir diese mächtige Technologie, ohne das Wichtigste zu verlieren - die menschliche Verbindung zum Gast?
Prof. DDr. Roman Egger, einer der führenden Experten auf diesem Gebiet, liefert den längst überfälligen Kompass für diese neue Ära. Verständlich, fundiert und konsequent auf die Praxis ausgerichtet, schlägt dieses Buch die entscheidende Brücke zwischen strategischer Weitsicht und konkreter Anwendbarkeit. Es ist kein kurzlebiges IT-Handbuch, sondern ein strategischer Wegweiser für die Gestalter von morgen.
Dieses Buch führt Sie sicher durch die Komplexität der neuen Technologien und erklärt die Funktionsweise von maschinellem Lernen und generativer KI auf eine Weise, die Entscheider befähigt, ohne sie mit technischem Jargon zu überfordern. Der Fokus liegt dabei konsequent auf dem Wesentlichen: Statt kurzlebigen Trends nachzujagen, lernen Sie, eine klare Haltung zu entwickeln und KI sinnvoll in Ihre Unternehmensziele zu integrieren - vom Marketing über den Service bis hin zur Zukunft der Arbeit.
Dieses Buch ist mehr als eine Anleitung. Es ist ein Plädoyer für einen mutigen, verantwortungsvollen und menschenzentrierten Tourismus im KI-Zeitalter. Für alle, die die Zukunft nicht nur verwalten, sondern aktiv gestalten wollen.

Ein strategischer Wegweiser für den Tourismus

Die transformative Kraft der Künstlichen Intelligenz

An exciting introduction to agency life, this insider's view of professional PR firms equips you to create a successful career in the industry. Authors Regina Luttrell, Luke W. Capizzo, and Adrienne A. Wallace highlight real-world examples from the field and engage with current practitioners to help you enter the agency world and bridge the critical gap between college and professional life. The book introduces many of the sub-fields of integrated communication practice, including traditional public relations and corporate communication, marketing, social media, creative production (print, digital, video, audio), web and user experience design, and search engine optimization (SEO). The second edition integrates current industry trends and technological advancements that have transformed agency life and public relations strategies. Key updates include -The impact of remote and hybrid work structures on agency culture and client communication -The rise of AI and automation in content creation and project management -The importance of inclusivity, diversity, equity, and accessibility in both internal operations and client work. -New sections within the chapters highlight the increasing role of brand activism and purpose-driven campaigns, as well as the expanding consultancy role of agencies Key Features: -Real-world examples from the field ensure that the practical concepts presented become concrete for you. -Interviews with industry professionals from around the world provide snapshots of the agency experience. -PESO model show you how to adapt your campaigns to meet the needs of today's integrated agency environment. - Agency Essentials student-cantered callouts that bring the realities of PR agency life into your learning with actionable tools-including quick wins, onboarding checklists, real-world scenarios, client email starters, and pitch power phrases

The PR Agency Handbook

Progress in IS

This open access book challenges the conventional idea of organizational learning by emphasizing the importance of intentional forgetting alongside information retention. It explores how intentional forgetting can free up cognitive, organizational, and technological resources, enabling organizations to adapt effectively to changing environments and remain resilient in the face of challenges. This shift in perspective highlights intentional forgetting as a crucial aspect of developing dynamic capabilities and coping with the ever-growing volume of stored information in modern organizations. The book provides an interdisciplinary perspective on the most recent research in intentional forgetting with joint contributions from psychology, computer science, information systems research, and engineering. These contributions cover the theory of intentional forgetting, methods, and paradigms to analyze and design intentional forgetting in organizations, as well as practical applications of intentional forgetting.The book examines the intricate mechanisms of human and machine forgetting, particularly relevant within technical and organizational spheres. Through practical demonstrations, it showcases how established organizational theories can be leveraged to empower information systems within organizations to engage in forgetting. Furthermore, it presents interdisciplinary methodologies and pathways for organizations to effectively manage the ever-expanding volume of stored information while strategically implementing forgetting as a vital tool for optimization.The book offers inspiration to business information scientists, computer scientists, and organizational designers, urging them to draw parallels with human memory to devise innovative solutions for effectively managing the overwhelming influx of information and data.

Developing Dynamic Capabilities for Work and Organizations

Intentional Forgetting with Intelligent Systems

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

Studieren, aber richtig

Künstliche Intelligenz sinnvoll in den wissenschaftlichen Schreibprozess zu integrieren, ohne dabei die Verantwortung für den eigenen Text abzugeben – wie das gelingt, zeigt Isabella Buck in ihrem Buch. 
Sie erklärt Begrifflichkeiten und Funktionsweisen und geht auf Herausforderungen bei der Anwendung, wie ethische und datenschutzrechtliche Aspekte, ein. Anschließend erläutert sie verschiedene Nutzungsmöglichkeiten von generativer KI beim wissenschaftlichen Schreiben und zeigt, wie Prompting gelingen kann. In der zweiten Auflage hat sie neueste wissenschaftliche Studien integriert und das Kapitel über Prompting um einen Abschnitt zum Context Engineering ergänzt.
Ein aufschlussreiches Buch für Studierende mit erster Erfahrung im wissenschaftlichen Schreiben und Promovierende aller Fachrichtungen.

Wissenschaftliches Schreiben mit KI

This open access book assesses whether European data regulation can be amended in light of contemporary technological developments. In an era when data powers our daily lives, economies and societies, data regulation is essential. However, European data regulation is still premised on concepts and foundations that were developed more than 50 years ago. The book offers an in-depth exploration of the European data regulatory landscape, from its historical roots to the challenges posed by new technological advancements. Through a detailed legal and technical analysis, it explores key data categories - such as anonymised, pseudonymised, aggregated, sensitive data, and metadata - highlighting their fluid and changing nature and the growing possibilities for transitioning between them. By identifying regulatory tensions and challenges arising from various technologies, such as AI, Big Data, and quantum computing, the book offers policymakers, legal scholars, computer scientists and data protection experts different perspectives on how to reshape future privacy and data protection legislation in a rapidly advancing technological world. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

The Past, Present, and Future of European Data Regulation

The job security you thought you had? AI didn't take it. Someone who learned to use AI did.
The headlines scream about AI replacing workers, but they're missing the real story. Artificial intelligence isn't your competition the person in the next cubicle who figured out how to 10x their output with AI tools is.
Adapt or Automate cuts through the fear-mongering and hype to reveal what's actually happening in workplaces worldwide. Drawing on real-world case studies from Nairobi to New York, this book shows how AI is creating a new divide: not between humans and machines, but between those who leverage AI and those who resist it.
Inside, you'll discover:Why AI won't replace you but will replace how you work - and what that means for your career in the next 12-24 months
The "augmentation advantage" - how professionals across industries are using AI to become irreplaceable rather than redundant
The three types of work AI handles best - and the uniquely human skills that are becoming more valuable, not less
Real strategies from real people who've transformed their careers by treating AI as a power tool, not a threat
The economic reality no one's discussing - why companies aren't choosing between humans OR AI, but humans WITH AI versus humans without
A practical 90-day action plan to position yourself on the winning side of the AI revolution


This isn't a technical manual or a dystopian warning. It's a pragmatic guide for anyone who wants to thrive in an AI-augmented workplace whether you're an employee, manager, freelancer, or business owner.
The choice isn't whether AI will transform your industry. It already is. The only question is: Will you adapt, or will you be automated?
Your career in the AI age starts here.

Why AI Won't Take Your Job But Someone Who Uses It Will

ADAPT OR AUTOMATE

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.Key features include: - Explores AI, big data, IoT, and blockchain in healthcare in-depth. - Provides actionable strategies for energy management, waste disposal, and green supply chains - Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging. - Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains. - Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.

The Role of AI and IoT in Modern Medical Systems

Transforming Global Healthcare

AI in the Financial Markets

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