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Gesamtkatalog

Catalogue complet

From Smart Cities to the Metaverse

A Journey Through Cybersecurity, AI, and Urban Sustainability

Section I: Foundations and Emerging Trends. 1. Introduction to Smart City and Metaverse. 2. Fundamentals of the Metaverse. 3. AI-Powered Smart Cities. 4. Smart Concrete: IoT-Enabled Smart Materials for Smart Cities. Section II: Security and Resilience. 5. Security Infrastructure and Challenges in Smart Cities. 6. Cybersecurity in a Smart City Environment: Motives and Methods for Launching Attacks. 7. Governance and Ethics in the Metaverse. Section III: Innovations and Applications. 8. Metaverse for Smart Cities. 9. Metaverse for Sustaining City Historic Places. 10. AI Chatbots and Smart Cities: A Case Study of Intelligent Transportation. 11. AI Chatbot and Metaverse. Section IV: Sustainability and Inclusivity. 12. Augmented and Virtual Realities for Special Needs: Fostering Inclusive Education in Urban Sustainability. 13. Food Sharing for Sustainability and Inclusivity in the Metaverse.

Medical Robots and Devices: New Developments and Advances

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.

AI and Data Science in Medical Research

Designing for Kids helps design students and professionals dive deeply into building a child-centered design practice, providing them with the knowledge, skills and tools to create products with a positive impact on child development, learning, play, and well-being.This fully updated second edition incorporates current and emerging childhood research and analysis that impacts the design process. It includes topics such as digital technology and AI, mental health, identity, climate change, sustainability, and children with disabilities. It supports college classes, company onboarding, and professional settings where young people are the end users of products and designed experiences. In addition to insights from professional designers, this edition also includes interviews with child psychologists, and diverse case studies from North America, South America, Africa, Asia, Europe, Australia and New Zealand from various industries and contexts. From these, readers will learn updated design approaches and how incorporate them into their work to create products and services for a global market. This textbook offer readers more than 150 color images, helpful discussion questions, practical frameworks, skill-building assignments, and debate questions that have been tested in conference workshops, colleges, nonprofits, and corporations.It is written for product designers who want to build more play value into toys, furniture, or schools; architects designing regenerative playgrounds, museum exhibits or children's hospitals; and technologists seeking ethical and educational approaches to interactive games and learning systems. Readers will build a strong foundation in designing for and with children, learning how to create developmentally appropriate and culturally relevant designs. This book will provide the skills and foundational understanding of how to design impactful products, services, and experiences that spark joy and support young people to thrive.

Creating for Playing, Learning and Growing

Designing for Kids

Understand how to embrace and embed artificial intelligence into your public relations and communications practice and strategy with this how-to guide.

A How-To Guide for Implementation and Management

AI for Public Relations

Building a Program for Strategy and Oversight

Practical AI Governance

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

Industrial and Environmental Microbiology

Embedded System and GUI Development using MATLAB for Engineering Applications

Digital Culture & Society

Technologies and technological futures are always socially situated, relational, and enmeshed in (dominant) narratives of societal sense-making, which have the power to bring future ideas into material existence. The issue brings together articles exploring popular techno-futures from international and interdisciplinary perspectives, including cultural and media studies, science and technology studies, and related disciplines. The contributors decenter the discussion on socio-technical futures and the role of popular culture, aesthetics and media in their (re)production by focusing on societal tech-future discourses from global popular perspectives.

Vol. 11, Issue 2/2025 – Towards Popular Techno-Futures: A Global Culture Perspective

Digital Culture & Society (DCS)

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

Manage the complexity of AI in any organization with this actionable guide to operationalizing AI governance, navigating regulatory challenges and future-proofing systems.

From Smart Cities to the Metaverse

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