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Catalogue complet

Cabibihan John-John: Humanizing
Artificial Touch

Humanizing Artificial Touch

Skin, Sensing, and Structures

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

Now in its fourth edition, Electricity for the Entertainment Electrician and Technician is a comprehensive, practical study guide for aspiring and working professionals in live event production.The book begins with basic electrical principles and circuits, then progresses to advanced topics such as 3-phase power, power calculations, harmonics, grounding/earthing and bonding, generators, and battery power. Throughout, it bridges the gap between theory and practical application, emphasizing electrical safety at every step. With ample photographs and illustrations, practice problems and solutions, and real-world examples from experience and first-hand accounts, it provides readers with the knowledge to safely design, set up, and monitor power distribution systems. The fourth edition includes updated technology throughout, new and expanded information on safety, DC systems, and clean energy technology, more graphics and end-of-chapter quiz questions, all with an emphasis on diversity and inclusion. Also new to this edition are appendices containing US to UK terminology and imperial to metric conversions.Covering topics that are listed in the content outline for the ETCP Entertainment Electrician Certification exam as well as the ETCP Portable Power Distribution Technician Certification exam, this book supports students and practicing technicians and provides new technicians the assistance they need for a successful career in the entertainment industry.Additional resources, including conversion tables, voltage drop spreadsheets, articles from Lighting &amp; Sound International, Lighting &amp; Sound America, and Protocol, and animations and illustrations depicting electricity and electric power distribution developed for the author's workshops, can be found on the companion website www.electrics.tech.

Electricity, Power Distribution, and Electrical Safety for the Stage and Set

Electricity for the Entertainment Electrician and Technician

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. The book covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing. Furthermore, it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

Industrial and Environmental Microbiology

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

Originating from the lattice Gas Automaton, LBM has reshaped the field with its straightforward approach and high efficacy. Despite its widespread use, navigating the scattered literature can be daunting for newcomers. Fluid Dynamics with the Lattice Boltzmann Method presents a clear path from novice to expert. This comprehensive guide bridges gaps in understanding, covering essential principles and exploring advanced topics like compressible flows and combustion. Authored by experts, this book consolidates diverse models and recent advancements, ensuring you're equipped to navigate the latest developments in computational fluid dynamics. Whether you're just starting out or aiming to stay ahead of the curve, this book is your essential companion in mastering LBM.

Fluid Dynamics with the Lattice Boltzmann Method

My Journey and the Future of Energy

Inexhaustible

Audio Engineering Society Presents

Audio effects are used pervasively in music performance and production, and creation of new digital audio tools is a significant industry. They are also commonly used in game production, broadcasting, and film and television.This book is intended as an educational textbook on audio effects, with relevance to audio signal processing, music informatics, sound engineering and related topics.It provides fundamental background information on digital signal processing, focusing on audio-specific aspects. This constitutes the building block on which audio effects are developed. It integrates theory and practice, relating technical implementation to musical implications.<ul> <li>The book can be used to gain an understanding of the operation of existing audio effects, or to create new ones.</li> <li>Includes detailed coverage of common audio effects (and plenty of unusual ones) ]</li> <li>Includes discussion of current digital audio standards, such as VST. Accompanying source code is provided in C/C++, for audio plugin development using JUCE.</li> <li>Each section of the book also has examples, exercises, sound samples, lecture slides, and additional information on related topics.</li> </ul>This second edition includes revised and expanded chapters, with new content on equalization, distortion, phase vocoders and reverberation. It also has new chapters on immersive audio and on advanced concepts in audio programming, revised source code using the latest version of JUCE, and corrections and improvements throughout.

Theory, Implementation and Application

Audio Effects

Embedded System and GUI Development using MATLAB for Engineering Applications

Marine Microbial Products: Applications and Opportunities delves into the extensive and highly diverse world of marine microbes, an assemblage of organisms that contain a broad array of bioactive chemicals. Often unique due to the extreme environmental conditions in which they are synthesized, these chemicals present opportunities for innovations in human health, environmental sustainability, and technological progress. Readers will gain valuable insights into the biodiversity of marine microbes, characterization of their bioactive chemicals, and opportunities for innovation and sustainable development across multiple sectors. Written and edited by a diverse team of environmental microbiologists, this book is systematically structured to provide readers with a foundational understanding of marine microbial taxa, the products that may be synthesized from these organisms, technological innovations, and future directions of research. Chapters collate the most current research in healthcare, sustainable industry, and commercial production to provide readers with the latest information on antibiotics, antivirals, anticancer therapeutics, immunosuppresive chemicals, bioremediation, food processing, biofertilizers, biopesticides, cosmetics, pigments, probiotics, and functional foods. Given the interdisciplinary nature of this growing area of research, Marine Microbial Products: Applications and Opportunities is structured for accessibility to academic and professional audiences spanning a variety of sectors. It is an indispensable resource for students, professors, researchers, and industry professionals in biology, biotechnology, sustainable development, food and healthcare sciences, and adjacent industries.

Applications and Opportunities

Marine Microbial Products

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Gehatnerative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.&nbsp;What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;Who This Book Is ForFrom AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

Humanizing Artificial Touch

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