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From Pixels to Insights

Exploring Machine and Deep Learning's Impact on Computer Vision

Sybex Study Guide

A fast and efficient prep handbook for the Azure AI Fundamentals certification exam In MC Microsoft Certified Azure AI Fundamentals Study Guide: Exam AI-900, experienced software engineer Adora Nwodo walks you through every technical topic you need to understand to succeed on the AI-900 certification exam and build a fundamental understanding of Azure AI features. The Study Guide uses the proven and popular Sybex approach to help you use Azure AI in the real-world, whether you're in a technical or non-technical role. Nwodo offers clear explanations, step-by-step instructions, and visual aids to guide you through essential AI concepts and shows you how to use them in the Azure cloud. You'll learn about: <ul> <li>Artificial intelligence concepts and workloads</li> <li>Responsible AI use in Azure</li> <li>Core concepts in AI models and solutions</li> <li>Introduction to machine learning concepts, including data preprocessing, training and validation, algorithms, and more</li> <li>The application of machine learning concepts on the Azure cloud platform</li> <li>Computer vision in Azure</li> <li>Natural language processing concepts</li> <li>Generative AI concepts</li> <li>The Azure OpenAI Service</li> <li>Example AI use cases and industry-specific applications</li> </ul> The MC Microsoft Certified Azure AI Fundamentals Study Guide highlights best practices for industry newcomers and veterans alike and builds the confidence you need to pass the AI-900 certification exam on your first attempt. Inside the book: <ul> <li>Intuitively organized material and additional sample questions that allow you to selectively study the areas in which you need to improve</li> <li>Carefully explained content appropriate for non-technical professionals who interact with AI technologies occasionally or on a daily basis</li> <li>Complimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms</li> </ul> Perfect for everyone preparing for the AI-900 certification exam, the Microsoft Certified Azure AI Fundamentals Study Guide is also a must-read for technical and non-technical professionals--especially those working in AI-impacted industries like sales and marketing--who wish to expand their AI skillset and improve their effectiveness at work.

Exam AI-900

MC Azure AI Fundamentals Study Guide

Concepts, Challenges and Applications

Platform Engineering

Advances in Industrial and Systems Engineering

Advances in Human-AI Collaboration

Enhancing Reflective Teaching in Higher Education

Redefining Teaching and Learning

GenAI in Higher Education

Images in The Age of Heat

Medium Hot

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

Harnessing the Power of AI for Your Organization—Profitably and Safely

The AI Conundrum

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

Augmented and Virtual Reality in Healthcare

Praise for IRREPLACEABLE "If you think AI is just about robots and algorithms, think again. IRREPLACEABLE will shatter your assumptions and challenge you to reimagine what it means to be human in a machine age." -Dr. Marshall Goldsmith, Thinkers50 #1 Executive Coach and New York Times Bestselling Author of The Earned Life, Triggers, and What Got You Here Won't Get You There "IRREPLACEABLE is addressing the most important question of our time: how do we keep our humanity front and center in an AI-dominated world? I challenge you to find a book more timely and relevant!" -Klaus Schwab, Founder and Executive Chairman of the World Economic Forum "IRREPLACEABLE is a vital guide to thinking differently and working confidently in tandem with AI. Pascal Bornet's insights and strategies are essential to succeed with customers and colleagues, in your community and career." -Ron Kaufman, New York Times Bestselling Author of Uplifting Service "In a world obsessed with the power of AI, IRREPLACEABLE dares to ask the question: what makes us human? The answer may surprise you." -Dr. Luc Julia, Co-Founder of Apple Siri "One of the most important books of our times, Pascal Bornet's IRREPLACEABLE is a must-read guide for navigating the AI revolution, empowering readers to excel personally and professionally in a technology-driven world." -Bernard Marr, Futurist, Internationally Bestselling Author "A very practical guide to strengthening our humanity with AI." -Nir Eyal, Bestselling Author of Hooked and Indistractable "Both a wake-up call and a practical guide to rediscover what makes us truly human in the age of AI." -Gerd Leonhard, Futurist and Humanist "I've always believed that AI will enhance human capabilities rather than replace them. This excellent book provides a roadmap for individuals and organizations to become effective partners with smart machines. Follow its advice, and you'll be well-equipped for the present and the future." -Thomas H. Davenport, Distinguished Professor, Babson College; Author of Only Humans Need Apply, Working with AI, and All In on AI "IRREPLACEABLE challenges us to confront the ultimate dilemmas: who are we, and what is our purpose in a world transformed by AI? The answers may just change your life." -Professor Jochen Wirtz, Vice Dean MBA Programmes, National University of Singapore "IRREPLACEABLE forces us to question our future in an increasingly technologically mediated world and learn to take action!" -Leonard A. Schlesinger, Baker Foundation Professor, Harvard Business School

The Art of Standing Out in the Age of Artificial Intelligence

IRREPLACEABLE

Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide provides engineers and system designers who are exploring the application of AI/ML methods for safety-critical systems with a dedicated resource capturing the challenges and mitigation strategies involved in designing such systems. Divided into nine sections, the book covers the most important applications of safety-critical systems, helping readers understand how related problems are being solved in different domains/problem settings. The goal of this book is to help ensure that AI-based critical systems better utilize resources, avoid failures, and increase system safety and public safety. The authors present ML techniques in safety-critical systems across multiple domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many others. These applications help readers understand the many challenges that need to be addressed in order to increase the deployment of ML models in critical systems. In addition, the book shows how to improve public trust in ML systems by providing explainable model outputs rather than treating the system as a black box for which the outputs are difficult to explain. Finally, the authors demonstrate how to meet legal certification and regulatory requirements for the appropriate ML models.

A Comprehensive Guide

Artificial Intelligence and Machine Learning for Safety-Critical Systems

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

From Pixels to Insights

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