Computer und IT
iPad (2. Auflage)
Sie möchten alle Funktionen Ihres neuen iPads im Handumdrehen beherrschen? Dann ist dieser leicht verständliche Ratgeber genau das Richtige für Sie. Steffen Bien führt Sie Schritt für Schritt durch alle wichtigen Apps und Möglichkeiten Ihres iPads – von den ersten Einrichtungsschritten bis zur Nutzung von Safari, Mail, Fotos, Musik und iCloud. Dabei lernen Sie auch die KI-Unterstützung, die Multitasking-Funktionen und die Bedienung mit dem Apple Pencil kennen. Geeignet für alle aktuellen Modelle wie iPad, iPad Air und iPad Pro. Aus dem Inhalt: Der Start mit Ihrem iPadMachen Sie sich mit Ihrem iPad vertrautVerbinden Sie Ihr iPad: Tipps für Mobilfunk, WLAN und BluetoothSicher und zugänglich: Einstellungen und BedienungshilfenEffizient arbeiten mit Split View, Slide Over und Stage Manager Ihr digitales Ökosystem mit iCloud und HandoffAirPlay, Live Text und weitere Systemfunktionen nutzenIhr Alltag mit dem iPad: Safari, Kalender, Erinnerungen u. v. m. Apps und Spiele installieren und nutzenKI-Funktionen und Assistenten auf dem iPad Dateien organisieren mit der Dateien-AppIn Verbindung bleiben mit Mail, Nachrichten und FaceTimeFotografieren, Filmen und Fotos verwaltenIhre Medienzentrale: Musik, TV, Bücher und PodcastsNavigieren und Entdecken mit der Karten-App
Wie Design wirkt (2. Auflg.)
Ob eine Gestaltung die Menschen berührt und zu einer Handlung, etwa einem Mausklick oder einem Kauf bewegt, können Sie als Gestalter aktiv beeinflussen. Dazu benötigen Sie allerdings einen Einblick in die psychologischen Erkenntnisse, die Ihnen helfen können, menschliche Verhaltensmuster zu verstehen. Um Wirkung gezielt zu erzeugen, müssen Sie wissen, wie wir Menschen unsere Umwelt wahrnehmen, was unsere Aufmerksamkeit erregt, was uns berührt und was uns besonders im Gedächtnis bleibt. In diesem Buch erfahren Sie alles über die Wirkung von Bildern und Geschichten, die Psychologie der Farben, Formen und Flächen, über Mustererkennung und Gestaltgesetze und auch über die Psychologie der Wahrnehmung. Aber keine Sorge: Das Autorenteam verzichtet auf Fachbegriffe und mutet Ihnen nur so viel Psychologie zu, wie nötig ist, um ein Design zu entwerfen, das den Nerv der Menschen trifft. Aus dem Inhalt: Grundlagen der Design-WirkungDie Welt der Bilder: Bildanalyse, BildwirkungWirkung gezielt erzeugenPsychologie der WahrnehmungPsychologie der FarbenPsychologie der Formen und FlächenKreativität und PsychologieGezielter Einsatz von Stilmitteln
ABC des Grafikdesigns (2. Auflg.)
Ohne Theorie geht es auch in den kreativen Disziplinen nicht, bildet sie doch die Grundlage für die praktische Anwendung. In diesem Buch beschreibt Markus Wäger die Gesetzmäßigkeiten von Grafik und Gestaltung anschaulich und verständlich. Er erklärt wichtige Fachbegriffe und Regeln und verrät die Codes, die jeder kennen sollte, um geschickt mit der Wahrnehmung des Betrachters zu spielen. Jeweils eine Doppelseite behandelt einen Fachbegriff und erklärt ihn leicht nachvollziehbar, logisch sortiert und so weit wie möglich visuell. So ist eine schnelle Einarbeitung garantiert. Nach der Lektüre gehen Sie neu sensibilisiert und mit geschärftem Blick an die Arbeit! Ein Buch für Auszubildende, Studierende und Fortgeschrittene aus den Bereichen Kommunikationsdesign, Mediengestaltung und Webdesign Aus dem Inhalt: Begriffsdefinition rund um das Thema GrafikdesignPrinzipien und Gestaltgesetze der visuellen WahrnehmungFormenlehre: Die Funktion von Punkt, Linie und Fläche im Grafikdesign; Gestaltungseigenschaften der Grundformen; Anmutung von Formen; Proportionslehre; Gewichtung, Verteilung und BlickführungTypografie: Historische Entwicklung; zeitgemäße Schriftklassifizierung, die der Formenvielfalt des aktuellen Schriftenmarkts gerecht wird; typografische Gestaltung für gut lesbare TexteFarbe: Eine moderne, auf das Mediendesign zugeschnittene Farbenlehre; praktische Grundlagen der Farbharmonien und FarbkontrasteZeichentheorie: Visuelle Kommunikation mit Zeichen, Symbolen, Piktogrammen und Bildern; von der Recherche über die Idee zum Logo; Schriftzüge und Bildmarken gestaltenGestaltungspraxis: Gestaltungsraster und Typografie für Bücher, Magazine, Broschüren und das Webdesign, Corporate Design, CD-Standardisierung und CD-Manual; Gestaltung von Drucksorten, Gestaltungsgrundlagen für Inserate, Plakate, Titelseiten etc.
Edge Artificial Intelligence
Secure your expertise in the next wave of computing with this essential book, which provides a comprehensive guide to Edge AI, detailing its foundational concepts, deployment strategies, and real-world applications for revolutionizing performance and privacy across various industries. Edge AI has the potential to bring the computational power of AI algorithms closer to where data is generated, processed, and utilized. Traditionally, AI models are deployed in centralized cloud environments, leading to latency issues, bandwidth constraints, and privacy concerns. Edge AI addresses these limitations by enabling AI inference and decision-making directly on edge devices, such as smartphones, IoT sensors, and edge servers. Despite its challenges, edge AI presents numerous opportunities across various domains. From real-time health monitoring and predictive maintenance in industrial IoT to personalized recommendations in retail and immersive experiences in augmented reality, edge AI has the potential to revolutionize how we interact with technology. This book aims to provide a comprehensive exploration of edge AI, covering its foundational concepts, development frameworks, deployment strategies, security considerations, ethical implications, emerging trends, and real-world applications. This guide is essential for anyone pushing the boundaries to leverage edge computing for enhanced performance and efficiency. Readers will find this volume: Dives deep into the world of edge AI with a comprehensive exploration covering foundational concepts, development frameworks, deployment strategies, security considerations, ethical implications, governance frameworks, optimization techniques, and real-world applications;Offers practical guidance on implementing edge AI solutions effectively in various domains, including architecture design, development frameworks, deployment strategies, and optimization techniques;Explores concrete examples of edge AI applications across diverse domains such as healthcare, industrial IoT, smart cities, and autonomous systems, providing insights into how edge AI is revolutionizing industries and everyday life;Provides insights into emerging trends and technologies in the field of edge AI, including convergence with blockchain, augmented reality, virtual reality, autonomous systems, personalized experiences, and cybersecurity. Audience Researchers, AI experts, and industry professionals in the field of computer science, IT, and business management. Preeti Agarwal, PhD is an assistant professor in the School of Technology Management and Engineering at the Narsee Monjee Institute of Management Studies with more than 13 years of experience. She has extensive publications in international journals and conferences. Her research focuses on optimizing edge-based frameworks for human activity recognition. Anchit Bijalwan, PhD an Associate Professor in the School of Computing and Innovative Technologies at the British University Vietnam, Hanoi, Vietnam. He has authored two books and published more than fifty research papers in reputed international journals and conferences. His specialization is in privacy and security.
Move First, Align Fast
Praise for MOVE FIRST, Align Fast “In time of massive change, uncertainty and AI, Deepika has created the framework for navigating the ‘Alignment Gap,’ providing the practical tools to measure human readiness and index risk. Move First, Align Fast reframes AI success not needing just technological achievement, but also critical is human-led transformation, offering a powerful approach and resources for sustained performance in dynamic times.” —FAYE SAHAI, Managing Director at Vinaj Ventures, Board Member at Fortune AIQ and Exbourne Group, Chairperson at ANA Innovation Group “The promise of AI implementation lives or dies by its acknowledgment of the human condition. Deepika’s book offers practical frameworks to make it work.” —HAMILTON MANN, Group Vice President of Digital and AI Transformation at Thales, Bestselling Author of Artificial Integrity “There is little doubt these days on how Artificial Intelligence could reshape humanity. Yet, mature firms are stumbling in formulating and executing on a strategy that will reshape material operating metrics. There is a gap between the promise and the reality of AI in traditional institutions. Deepika’s book demystifies the chasm between technical capabilities and material AI enabled momentum. Her insights on applying systems thinking promises to defog the exciting and intimidating world of AI. This book is a valuable read for CXOs looking to achieve takeoff velocity in their ambition to reshape their firms to be relevant in an AI-first age.” —MURLI BULUSWAR, Head of Analytics at Citi “A rare book that gets to the heart of why AI succeeds or stalls. Deepika shows that alignment is not a soft skill—it’s the hard edge of transformation. Leaders ignore this at their peril.” —AVINASH MISRA, Founder and CEO at Skan AI A start-to-finish manual for aligning your organization’s teams with the latest AI technologies In Move First, Align Fast: Frameworks and Scorecards for Human-AI Alignment, seasoned technology and transformation leader Deepika Chopra delivers a comprehensive toolkit and guide for the people side of AI implementation. This is a step-by-step walkthrough for the human beings who will lead and participate in your organization’s AI transformation. It’s also an expansive collection of frameworks, scorecards, measurement tools, and interpretation guides for company leaders who want to keep their change initiatives on track and on schedule. Chopra offers you practical resources, including the ACT Framework, ACT+M™ Scorecard, and the Human-AI Alignment Score (HAAS™), that she developed and refined through her decades-long career advising organizations like Citi, AIG, Siemens, and LPL. You’ll use them to ensure that you’re able to translate your strategy, tools, and your teams’ technical skills into a firm with powerful new capabilities. Inside the book: Detailed walkthroughs for leaders who want to build new, AI-enabled organizations defined by trust, alignment, and a culture of innovationEffective strategies suited to both high-growth startup environments and large enterprises seeking to implement foundational changes to the way they use AI Detailed discussions of the Align, Cultivate, and Transform (ACT) Framework and the tools you need to measure your progress as you implement it across your teams Virtually every organization in every industry can easily access powerful AI technologies with the potential to transform the way they do business. It’s become increasingly clear that the bottleneck is almost always cultivating teams that effectively deploy and integrate those technologies in a way that executes on the strategic vision of their leaders. Move First, Align Fast is the roadmap that business and technology leaders have been waiting for to help them implement new technical capabilities into their companies in ways that ensure they’ll actually be used to their fullest potential. It’s an expert guide to aligning your human resources with the latest AI tools that will prove invaluable to managers, executives, entrepreneurs, and founders everywhere. DEEPIKA CHOPRA is a seasoned technology leader who has spent the last two decades leading enterprise-wide digital and AI transformations in highly regulated industries. She is the creator of several effective change management frameworks, including the ACT Framework, ACT+M™ Scorecard, and the Human-AI Alignment Score.
Creating MakerSpaces
Start your own MakerSpace and foster a robust and resilient place for Makers to grow and develop their skills. This book is the perfect guide for those interested in building and making, using a knowledge of art, biology, electronics, or mechanical work. It’s not enough to just buy a few 3D printers or have some electronics. MakerSpaces span a variety of areas, including art, biology, chemistry, electronics, and mechanics. As you start one, you need to make sure you have the right tools, the right supplies, and the right operation. First, you’ll explore the variety of tools and supplies available, from low-cost to expensive, and see how to use them. Then select the best tools for your MakerSpace, whether for a library, a school, or to open-up to a community. The next phase is operating a MakerSpace. We’ll explore how to lay out your space, control access, and provide training. In addition, this book offers suggestions on how to manage your staff, whether part-time, full-time, or volunteers. Creating MakerSpaces is your pathway to a safe, well-maintained, and great environment for Makers in your community! What You'll Learn Source the skills you need to help your community of MakersManage your MakerSpace effectively once it’s set upProvide the right training to use and maintain your space safely Who This Book Is For Anyone interested in starting a MakerSpace Chapter 1: Introducing MakerSpaces.- Chapter 2: Space Types.- Chapter 3: Maker Fields.- Chapter 4: Equipment and Tools.- Chapter 5: Organizing MakerSpaces.- Chapter 6: Operating a MakerSpace.- Chapter 7: Building a Maker Community.- Chapter 8: Final Thoughts.
Netzwerke
Netzwerke verstehen, einrichten, administrieren - mit umfassendem Praxisteil und vielen Schritt-für-Schritt-Anleitungen aus dem Oktober 2025.Netzwerk-Know-how ist in nahezu allen IT-Berufen unerlässlich – dieser praxisorientierte Leitfaden vermittelt es fundiert, verständlich und mit starkem Praxisbezug. Er richtet sich an angehende Netzwerkadministratoren, IT-Fachkräfte und technisch versierte Power-User.Sie lernen wichtige Hardware-Komponenten und die komplette TCP/IP-Protokollfamilie kennen – von IPv4 und IPv6 über ICMP, ARP, TCP und UDP bis hin zu DNS, DHCP und gängigen Anwendungsprotokollen. Anhand nachvollziehbarer Schritt-für-Schritt-Anleitungen setzen Sie ein vollständiges Netzwerk in einer virtuellen Umgebung um. Sie konfigurieren IP-Adressen, Switches und Router (z.B. mit Cisco-Geräten), richten Active Directory ein und implementieren zentrale Netzwerkdienste. Ein eigenes Kapitel zur Fehlersuche zeigt Ihnen bewährte Tools und Methoden für effektives Troubleshooting.Auf diese Weise erfahren Sie, wie moderne Netzwerke konzipiert, implementiert, abgesichert und langfristig betrieben werden und lernen bewährte Best Practices zur Segmentierung, zum Einsatz von Firewalls und zur Einrichtung von VPNs kennen – praxisnah und direkt umsetzbar.Leseprobe (PDF-Link)Über die Autoren:Eric Amberg ist selbstständiger Experte für IT-Netzwerke und -Sicherheit und hat in den letzten 20 Jahren zahlreiche Projekte aller Größenordnungen durchgeführt. Er verfügt über zahlreiche Zertifizierungen, unter anderem CEH, CISSP, CCNP Security, LPIC-2 und ist zertifizierter Cisco-Trainer (CSI # 34318).Daniel Schmid ist seit über 10 Jahren bei einem großen Energiekonzern im Bereich Netzwerke und Security tätig und leitet dort große, teils internationale Projekte.
African Conference on Research in Computer Science and Applied Mathematics
A Note on Additive Model Building for Spatial Functional Regression.- Quadratic Programming Problems with Preprocessing and a Diagonally Dominant M-matrix.- Beta Prime Kernel Availability Density Estimation of a Repairable Series System.- Imperfect maintenance of series systems.- Performance Evaluation of a Web services.- Modeling and analysis of Covid’19 patients hospitalization dynamic reliability by a semi-Markovian model.- Combinatorial optimization of banana clean reliance.- Adaptive Refined Descriptive Sampling Algorithm for Dependent.- variables using Iman and Conover method in Monte Carlo simulation.- Linear Control Design for Synchronization of Fractional Predator-Prey.- Systems with Group Defense and Harvesting.- Fractional dynamics of a Cholera model with Atangana-Baleanu operator.- Fractional-order dynamics of a Typhoid epidemic model.- A model of plasmid-bearing, plasmid-free competition in a chemostat.- On a slow-fast SEIRS Model structured in age.- Global asymptotic stability for a predator-prey model.- The operating diagram of an SIS model in the chemostat.- On a competition model of two toxin-producing species in the chemostat.
The Data Lakehouse Revolution
We are racing toward a new kind of AI—faster, smarter, and more connected than ever. At the heart of it is the Data Lakehouse, and Databricks is the engine powering the transformation. Whether you're a data scientist training models, an engineer scaling pipelines, or an architect modernizing your stack, this book gives you what you need to stay ahead. Inside, you'll understand how to unlock the full potential of Machine Learning and Generative AI (GenAI) using Databricks—no fluff, just real tools, real strategies, and real results. From MLFlow and AutoML to Unity Catalog, Retrieval Augment Generation (RAG), and Vector Search, you'll get a complete blueprint for building intelligent systems that actually work in production. With step-by-step labs, industry case studies, and expert tips from someone who's lived through the entire evolution of enterprise AI, this book is your guide to mastering what's next. If you're serious regarding building AI that matters, this is where your journey begins. What You'll Learn Build full-stack ML and GenAI solutions on DatabricksTrain and track models with MLFlow, AutoML, and tuning strategiesSecure and govern data with Unity CatalogApply explainable, ethical AI techniquesDeploy and monitor ML models in real-world pipelinesUse RAG and vector search to power GenAI applicationsGain confidence with hands-on labs and real enterprise use cases Who This Book Is For Azure administrators, data architects, and data engineers Chapter 1: Getting Started with Databricks.- Chapter 2: Introduction to Machine Learning and Data Lakehouses.- Chapter 3: Data Preparation and Management.- Chapter 4: Building Machine Learning Models.- Chapter 5: AutoML and Model Optimization.- Chapter 6: Deploying Machine Learning Models.- Chapter 7: Advanced Topics in Machine Learning.- Chapter 8: Lakehouse AI and Retrieval-Augmented Generation (RAG).- Chapter 9: Conclusion and Next Steps.
Practical PHP APIs with Symfony
Ever wanted to construct a robust and efficient API architecture that revolves around operations? This focused pocket guide takes you through that process step-by-step, providing you with the knowledge to build an operation-oriented API using the PHP programming with the Symfony framework. Practical PHP APIs with Symfony is designed to provide you with a comprehensive understanding of how to create a single API endpoint that embraces the concept of operations. We will utilize the robust features of Symfony to build an environment where operations are the focal point of our API design. This focused guide assumes a certain understanding of the Symfony framework and is not intended as an introductory text to the topic. With this in mind, we will cover essential Symfony topics such as dependency injection features, security authentication and background operations with Symfony Messenger, all with the aim to get you up and running with operation-oriented APIs as quickly and easily as possible. You Will: Learn the principles of constructing an API architecture centered around operationsGain insights into the Symfony features that facilitate the development of operation-oriented APIsLearn how to create a single API endpoint that manages and executes various operationsExplore essential Symfony topics, including dependency injection, security authentication, and the use of Symfony Messenger for background operationsDevelop skills to discover, manage, and execute operations within your APIs, using practical examples for better comprehension This Book is For: Developers and software engineers with prior knowledge andunderstanding of the Symfony framework who wish to deepen their knowledge in building operation-oriented APIs, as well as those who are looking to know more about API design. Chapter 1. Crafting Inputs, Outputs, and Operations.- Chapter 2. Securing Operations.- Chapter 3. Background Execution of API Operations.- Chapter 4. Context-Specific Operations.- Chapter 5. Testing the API.
Delegates, Events, and Lambda Expressions in C#
Among the many features that make C# a powerful and versatile language, delegates, events, and lambda expressions stand out for their innovation and practical impact. This pocketbook will guide you to learn these core elements, offering a beginner-friendly yet thorough exploration through clear explanations, real-world code examples, Q&A sessions, and hands-on exercises. Diving into functional programming using delegates, implementing the observer design pattern with events, or streamlining your code with lambda expressions, this book helps you understand not just how these features work, but why they matter. You’ll learn how they interrelate and how they're used in modern C# development, including their role in LINQ and event-driven programming. Ideal for developers looking to sharpen their skills and gain confidence, this book ensures you walk away with the knowledge to write cleaner, more expressive, and maintainable C# code. What You Will Learn: Gain insights into advanced C# concepts with hands-on examplesWork with .NET 10, which supports C# 14, using Visual Studio Community EditionMaster delegates, events, and lambda expressions in real-world scenariosBuild confidence to tackle technical interviews in C# Who This Book is For: Developers and programmers in C# and .NET Chapter 1: Delegates.- Chapter 2: Events.- Chapter 3: Lambda Expressions.- Chapter 4: Bonus.- Appendix A: What's Next?.- Appendix B: Author's Other Books.
3D-Konstruktionen mit Autodesk Inventor 2026
3D-Modellieren von der Skizze über Bauteile und Baugruppen bis zu Werkzeichnung und AnimationPraxisnahe Erläuterung grundlegender Befehle mit zahlreichen KonstruktionsbeispielenZwei Bonuskapitel mit zusätzlichen Themen sowie alle Beispielprojekte zum Download Praxisnaher Einstieg Dieses Grundlagen- und Lehrbuch zeigt Ihnen anhand vieler einzelner Konstruktionsbeispiele die Möglichkeiten von Inventor 2026 und richtet sich insbesondere an Inventor-Neulinge, die Wert auf einen gründlichen praxisnahen Einstieg legen. Die wichtigsten Vorgehensweisen werden mit vielen einzelnen Beispielen erklärt und können daher leicht für eigene Projekte eingesetzt werden. Inventor von A bis Z Alle wichtigen Befehle werden detailliert vorgestellt: von der Erstellung von 2D-Skizzen mit Bemaßung und Abhängigkeiten über die verschiedenen Arten der Modellierung bis hin zur Erstellung von Baugruppen, Zeichnungsableitung, dem Erstellen von Stücklisten und animierten Präsentationen. Zu jedem Kapitel finden Sie Testfragen mit Lösungen im Anhang, mit denen Sie Ihr Wissen überprüfen und festigen können. Bonuskapitel und Projektdateien zum Download Die vollständigen Projekte der 3D-Beispiele inklusive der Bauteile, Baugruppen und Zeichnungen stehen auf der Webseite des Verlags zum Download bereit und helfen Ihnen, alle Übungsbeispiele leicht nachzuvollziehen. Darüber hinaus erhalten Sie zwei digitale Bonuskapitel zu den Spezialthemen »iLogic-Programmierung« und »Module für Blech, Gestell, Welle, Schweißen, BIM-Import/Export, Verbindung zu Fusion«. Aus dem Inhalt: Installation und BenutzeroberflächeSkizzenerstellung in 2D und 3D mit Linie, Bogen, Kreis, Rechteck, Langloch, PolygonAbhängigkeiten und Bemaßungen in der SkizzeAutoCAD-2D-Import3D-Modellierung mit Grundkörpern wie Quader, Zylinder, Kugel und TorusVolumenkörper mit Extrusion, Rotation (Drehen), Sweeping oder Lofting (Erhebung) erstellenSpezielle Modellierung mit Spirale, Prägen, Ableiten, Rippe und AufklebenVolumenkörper ergänzen: Bohrung, Fase, Rundung, Gewinde, Wandstärke, Flächenverjüngung, Markierungen, Oberflächenbeschaffenheit etc.iFeatures, iMates, iParts, iAssembliesBaugruppen durch Platzieren der Bauteile mit geometrischen Abhängigkeiten oder Verbindungen erstellenModellzustände, Exemplareigenschaften und GeometrievereinfachungZeichnungsableitung mit Ansichten, Bemaßungen und BeschriftungenErstellen von Stücklisten und PositionsnummernAnimierte Präsentationen, fotorealistische Bilder mit verschiedenen Stilen Detlef Ridder hat bereits zahlreiche Bücher zu AutoCAD, Inventor, Revit und Archicad veröffentlicht. Er gibt Schulungen zu diesen Programmen und zu CNC und weiß daher, welche Themen für Einsteiger besonders wichtig sind.
Generative AI Security
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 theoretical foundations 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: Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selectionIntelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generationDeepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI’s greater impact on information integritySecurity attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacksPrivacy-preserving AI techniques including federated learning and homomorphic encryption 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. Shaila Rana, PhD, is a professor of Cybersecurity, co-founder of the ACT Research Institute, a cybersecurity, AI, and technology think tank, and serves as the Chair of the IEEE Standards Association initiative on Zero Trust Cybersecurity for Health Technology, Tools, Services, and Devices. Rhonda Chicone, PhD, is a retired professor and the co-founder of the ACT Research Institute. A former CSO, CTO, and Director of Software Development, she brings decades of experience in software product development and cybersecurity.
Das Rechtskonforme und effiziente KI-basierte Zeiterfassungssystem
In diesem Buch werden die Anforderungen an ein KI-gestütztes Zeitwirtschaftssystem am Beispiel einer internationalen Bank in Österreich untersucht. Die zentrale Herausforderung liegt darin, die Effizienzpotenziale durch Künstliche Intelligenz (KI) zu nutzen und gleichzeitig die strengen rechtlichen Rahmenbedingungen des Landes zu erfüllen. Die Relevanz des Themas ergibt sich aus der strategischen Bedeutung der Zeitwirtschaft, dem transformativen Potenzial von KI im Personalwesen und dem komplexen regulatorischen Umfeld in Österreich. Mithilfe eines qualitativen Forschungsansatzes und einer Single-Case-Study wurden semi-strukturierte Experteninterviews mit internen Stakeholdern aus den Bereichen HR, KI, Recht, Datenschutz und IT-Sicherheit geführt und durch eine Analyse interner Dokumente ergänzt. Die Ergebnisse zeigen, dass die strikte Einhaltung der rechtlichen Vorgaben – insbesondere des österreichischen Arbeitsrechts, der DSGVO-Grundsätze und der Mitbestimmungsrechte des Betriebsrats – eine unverhandelbare Grundlage darstellt. Ebenso entscheidend ist die proaktive Ausrichtung am EU AI Act für Hochrisiko-Systeme im HR-Bereich. Einleitung.- Literaturrecherche.- Methodik.- Fallstudienanalyse.- Diskussion.- Schlussfolgerung.- Erklärung über den Einsatz von KI.- Literaturverzeichnis.
Mastering Snowflake DataOps with DataOps.live
This practical, in-depth guide shows you how to build modern, sophisticated data processes using the Snowflake platform and DataOps.live—the only platform that enables seamless DataOps integration with Snowflake. Designed for data engineers, architects, and technical leaders, it bridges the gap between DataOps theory and real-world implementation, helping you take control of your data pipelines to deliver more efficient, automated solutions.. You’ll explore the core principles of DataOps and how they differ from traditional DevOps, while gaining a solid foundation in the tools and technologies that power modern data management—including Git, DBT, and Snowflake. Through hands-on examples and detailed walkthroughs, you’ll learn how to implement your own DataOps strategy within Snowflake and maximize the power of DataOps.live to scale and refine your DataOps processes. Whether you're just starting with DataOps or looking to refine and scale your existing strategies, this book—complete with practical code examples and starter projects—provides the knowledge and tools you need to streamline data operations, integrate DataOps into your Snowflake infrastructure, and stay ahead of the curve in the rapidly evolving world of data management. What You Will Learn Explore the fundamentals of DataOps, its differences from DevOps, and its significance in modern data managementUnderstand Git’s role in DataOps and how to use it effectivelyKnow why DBT is preferred for DataOps and how to apply itSet up and manage DataOps.live within the Snowflake ecosystemApply advanced techniques to scale and evolve your DataOps strategy Who This Book Is For Snowflake practitioners—including data engineers, platform architects, and technical managers—who are ready to implement DataOps principles and streamline complex data workflows using DataOps.live. 1. DataOps.- 2. Pillars of True DataOps.- 3. MLOps.- 4. DataOps Best Practices.- 5. Understanding Snowflake.- 6. Introduction to Git.- 7. Getting Started with Git.- 8. Advanced Git Topics.- 9. Introduction to DBT.- 10. Advanced DBT Techniques and Best Practices.- 11. Introduction to DataOps.live Platform.- 12. DataOps.live & DataOps: Better Together.- 13: Essential Elements of DataOps.live.- 14. Getting Started with DataOps.live.- 15. Managing Your Environments.- 16. Build Your First DataOps Pipeline.- 17. Getting Started with SOLE.- 18. Getting Started with MATE.- 19. Managing Multiple Databases with DataOps.Live.- 20. DataOps.live Orchestrators.- 21. Build Only Changed Models.- 22. DataOps.live REST API.- 23. Medallion Architecture.- 24. Kimball Architecture.- 25. DataVault 2.0 Architecture.- 26. Combining Medallion with DataVault 2.0 and Kimball.- 27. Entity-Relationship (ER) Modeling and Beyond.- 28. Event-Driven Data Models.- 29. Graph Data Modeling.
Mastering Circuit Analysis
This book is your essential guide to mastering the fundamentals of electrical analysis. Starting with direct current (DC), it explores batteries, current, voltage, and key concepts like Ohm’s Law and Kirchhoff’s Laws for circuit analysis. Progressing to advanced topics, you'll learn about mesh analysis, superposition, Thevenin’s and Norton’s Theorems, and transient analysis, including time constants and DC RL/RC circuits. The journey continues with alternating current (AC), covering RMS values, phasors, complex numbers, and AC RLC circuits used in radio receivers. The final chapter dives into the world of magnets and magnetic circuits. Throughout, simulations using TINA 12 ECAD software demonstrate the accuracy of the methods discussed. This book equips engineers with the essential knowledge and skills to excel in electrical analysis. By mastering these foundational topics, readers will build the confidence and expertise needed to achieve qualifications and design innovative systems with ease. What You'll Learn Understand DC fundamentals, including batteries, current flow, and voltage.Analyze DC and AC circuits using Ohm’s Law, Kirchhoff’s Laws, and advanced methods like superposition.Explore transient analysis with time constants and DC RL/RC circuits.Master AC concepts such as RMS values, phasors, and AC RLC circuits.Simulate and validate circuits using TINA 12 ECAD software. Who is This Book For Students on electrical engineering courses or hobbyists who wants to learn about DC and ac circuit theories. Chapter One “Electrical Current”.- Chapter Two “The Fundamental Theories”.- Chapter Three “Analyzing Circuits with Multiple Sources”.- Chapter Four “DC RL Transient Analysis” .- Chapter Five “DC CR Transient Analysis” .- Chapter Six “The UK Mains Voltage”.- Chapter Seven “The Series and Parallel RLC Circuit” .- Chapter Eight “Analysis of ac Circuits”.- Chapter Nine “Analysis of Magnetic Circuits”.- Chapter TEN “Using TINA 12” .
MC Microsoft Certified Azure AI Fundamentals Study Guide
Your comprehensive guide to preparing for the Azure AI Fundamentals certification exam The MC Microsoft Certified Azure AI Fundamentals Study Guide is your one-stop resource for complete coverage of the challenging AI-900 exam. This Sybex Study Guide covers the entirety of the AI-900 objectives. Prepare for the exam smarter and faster with Sybex thanks to efficient and accurate content, including an assessment test that validates and measures exam readiness, real-world examples and scenarios, and challenging chapter review questions. Reinforce and remember what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the Azure AI Fundamentals exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Artificial Intelligence workloads and considerationsFundamental principles of machine learning on AzureComputer vision workloads on AzureNatural Language Processing (NLP) workloads on AzureGenerative AI workloads on Azure ABOUT THE AZURE AI FUNDAMENTALS CERTIFICATION The Azure AI Fundamentals certification demonstrates your knowledge of machine learning and AI concepts and related Microsoft Azure services. This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of basic cloud concepts and client-server applications. You can use Azure AI Fundamentals to prepare for other Azure role-based certifications. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.100 electronic flashcards to reinforce learning and last-minute prep before the examComprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared 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: Artificial intelligence concepts and workloadsResponsible AI use in AzureCore concepts in AI models and solutionsIntroduction to machine learning concepts, including data preprocessing, training and validation, algorithms, and moreThe application of machine learning concepts on the Azure cloud platformComputer vision in AzureNatural language processing conceptsGenerative AI conceptsThe Azure OpenAI ServiceExample AI use cases and industry-specific applications 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: Intuitively organized material and additional sample questions that allow you to selectively study the areas in which you need to improveCarefully explained content appropriate for non-technical professionals who interact with AI technologies occasionally or on a daily basisComplimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms 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. ABOUT THE AUTHOR ADORA NWODO is a software engineer, author, and speaker with extensive experience in building and managing large-scale distributed systems. She’s an expert in cloud computing, distributed systems, and DevOps tooling.
Assembly Language Reimagined
Learning assembly language won’t make you a faster programmer. It won’t enable you to create portable, write-once, run-anywhere programs. So why learn it? The answer is that it will make you a better programmer. Author John Schwartzman takes a fresh look at low-level programming and explores how to write programs using the BIOS and glibc. This laboratory-based book aids the writing of high-level structured programs by showing what the processor can and can’t do and how it does it. You’ll take apart high-level structured C/C++ and show what the CPU is doing at every stage of the program. The book introduces programs and activities throughout the development process, providing sample code, makefiles, and shell scripts for each example program. With the help of Assembly Language Reimagined you’ll become a more capable and versatile computer engineer. What You will Learn Explore a new perspective on the Intel x64 microprocessor for low-level programmingUnderstand what a processor is doing while a high-level structured computer language program is being run Solve problems with the help of software. See why assembly language programming is essential for every serious student of computer science Who This Book Is For Embedded Linux and Assembly developers, engineers and programmers, hobbyists from the Maker community, as well as college and graduate level students who have some prior knowledge of a structured high-level language like C or C++ 1: Using BIOSServices.- 2: Using BIOS Services.- 3: Prefer glibc Over Calls to the BIOS.- 4: Passing Information to a Program on the Command Line.- 5: Using Macros and Passing Arguments on the Stack.- 6: Conditional Compilation and Conditional Builds.- 7: Recursion.- 8: Using Floating Point Registers.- 9: The commaSeperate Utility Program.- 10: The hhmmss Utility Program.- 11: Creating a Shared Library.- 12: Sorting an Array of Integers.- 13: Sorting and Array of Strings.- 14: Finding, Reading and Sorting File and Directory Information.- 15: Creating and Solving a Linked List.- 16: Creating and Sorting a Linked List.- 17: Reading and Sorting File and Directory.- 18: Reading File and Directory Information.- Afterword.- Appendix A.
Attack Vectors
From early worms to AI powered deepfakes, Attack Vectors chronicles the relentless battle between hackers and defenders. This deep dive into cybersecurity’s evolution unpacks the rise of malware from the Morris Worm to Stuxnet and the cyber syndicates that turned hacking into a billion-dollar underground industry. It explores devastating exploits like CodeRed and HeartBleed, revealing how vulnerabilities become weapons. Meet the visionaries who built the internet’s defenses and the adversaries who found ways to break them. Governments, corporations, and rogue actors all play a role in this ongoing digital war, where data is power, and deception is an art. As cyber-attacks grow more sophisticated, understanding the past is crucial to securing the future. Attack Vectors is essential reading for anyone navigating today’s high-stakes cyber landscape to learn lessons from the past and how solutions today address the most attack vectors predicted in the future. You’ll Learn: Understand the history of cyber-security from the early 1950’s through today.Explore the history of terminology that defines the threat landscape.Examine the history of malware, exploits, breaches, syndicates, and people throughout the last 25 years.Learn how modern cyber-security solutions have been developed to address the evolution of attack vectors.Explore best practices for what to do after a breach and how to manage some of the biggest risks including human beings themselves. Who This Book Is For? New security management professionals, auditors, and information technology staff looking to understand the history of cyber-security. Chapter 1: The History of Attack Vectors.- Chapter 2: Business Justification.- Chapter 3: Definitions.- Chapter 4: Malware.- Chapter 5: Exploits.- Chapter 6: Breaches.- Chapter 7: Regulations.- Chapter 8: People.- Chapter 9: Syndicates.- Chapter 10: Social Engineering.- Chapter 11: Solutions.- Chapter 12: The Human Threat.- Chapter 13: Lateral Movement.- Chapter 14: Return on Investment.- Chapter 15: It’s Not If, But When.- Chapter 16: Supply Chain Attacks.- Chapter 17: Been Hacked?.- Chapter 18: History Lesson.- Chapter 19: Conclusion.
Künstliche Intelligenz in der Marketingabteilung
Das Buch untersucht den aktuellen Einsatz künstlicher Intelligenz in Marketingabteilungen. Basierend auf einem entwickelten Prozessmodell und einer quantitativen Befragung von Fachexpert*innen werden Nutzungshäufigkeit, Anwendungsfelder sowie Chancen und Herausforderungen analysiert. Abschließend werden konkrete Handlungsempfehlungen vorgestellt, um die Nutzung von KI im Marketing gezielt zu fördern. Einleitung.- Theoretische Grundlagen.- Zwischenfazit.- Empirische Untersuchung.- Auswertung der Forschungsergebnisse.- Diskussion.- Fazit.
Cybersecurity Audit Essentials
In a world where cyber threats are more pervasive and sophisticated than ever, this book serves as a trusted companion for professionals charged with protecting critical digital assets. It bridges the gap between theoretical understanding and real-world application, equipping readers with the tools, techniques, and insights to conduct effective cybersecurity audits confidently. The guide takes readers through every stage of the audit process—from planning and scoping to execution, reporting, and follow-up—offering actionable advice at each step. It unpacks the core principles of cybersecurity auditing, such as risk assessment, compliance frameworks, and leveraging advanced tools and technologies. Readers will gain the skills to identify vulnerabilities, evaluate the effectiveness of security measures, and ensure compliance with regulatory requirements. What You Will Learn: Detailed explanations of various audit types, such as: internal, external, compliance, risk-based, and specialized, tailored to meet diverse organizational needs.Step-by-step instructions, checklists, and real-world examples to help readers avoid common pitfalls and adopt proven best practices.Insights into using cutting-edge technologies, including automated audit platforms, SIEM systems, and vulnerability scanners, to enhance audit effectiveness.Clear guidance on navigating key frameworks like GDPR, NIST, ISO 27001, and more, ensuring adherence to industry standards.Tips for prioritizing risk mitigation, crafting impactful audit reports, and fostering continuous improvement in cybersecurity practices. Who This Book Is for: IT auditors, cybersecurity auditors, cybersecurity professionals, and IT specialists who need a practical, hands-on guide to navigate the challenges of cybersecurity auditing in today’s complex digital landscape. Chapter 1: Introduction to Cybersecurity Audits.- Chapter 2: Planning the Cybersecurity Audit.- Chapter 3: Assessing Security Control.- Chapter 4: Compliance and Regulations.- Chapter 5 Introduction to Cyber Risk Management.- Chapter 6 Tools for Network and Cyber Security Audits.- Chapter 7 How to Write an Effective Cybersecurity Audit Report.- Chapter 8 Real-Life Scenarios and Case Studies.
Praxisbuch Large Language Models
Alle Werkzeuge und Techniken für die praktische Arbeit mit LLMsDas Handbuch für das intuitive Verständnis von LLMs: Mit zahlreichen Visualisierungen, die Konzepte schnell zugänglich machenThemen sind die Sprachverarbeitung – Textklassifikation, Suche oder Cluster – und die Sprachgenerierung – vom Prompt Engineering bis zur Retrieval Augmented Generation (RAG)Die Autoren haben mit ihren beliebten Blogs Millionen von Entwickler*innen geholfen, Machine Learning und KI zu verstehenDiese umfassende und anschauliche Einführung in die Welt der LLMs beschreibt sowohl konzeptionelle Grundlagen als auch konkrete Anwendungen und nützliche Tools. Tauchen Sie in das Innenleben von LLMs ein und erkunden Sie ihre Architekturen, Einsatzbereiche, Trainingsmethoden und Feintuning-Techniken. Mit seiner einzigartigen Mischung aus intuitiv verständlichen Illustrationen und praxisbezogenen Erläuterungen ist dieses Buch die ideale Ausgangsbasis für alle, die die Möglichkeiten von KI-Systemen voll ausschöpfen möchten.Sie lernen, vortrainierte Transformer-LLMs von Hugging Face für Anwendungsfälle wie das Verfassen von Texten oder für Inhaltszusammenfassungen einzusetzen. Sie erfahren außerdem, wie Sie Suchsysteme erstellen und vorhandene Bibliotheken und vortrainierte Modelle für Textklassifikation, Suche und Clustering nutzen.Verstehen Sie die Architektur von Transformer-basierten Sprachmodellen, die bei der Textgenerierung und -repräsentation hervorragende Ergebnisse liefernEntwerfen Sie fortgeschrittene LLM-Pipelines, um Textdokumente zu clustern und die darin enthaltenen Themen zu erforschenErstellen Sie semantische Suchmaschinen, die über den Abgleich von Schlagwörtern hinausgehen und auf Methoden wie Dense Retrieval und Reranking basierenLernen Sie, wie Sie generative Modelle optimal einsetzen – vom Prompt Engineering bis hin zur Retrieval Augmented Generation (RAG)Entwickeln Sie ein tieferes Verständnis dafür, wie LLMs trainiert und für spezifische Anwendungen optimiert werden, beispielsweise durch Feintuning generativer Modelle, Contrastive Fine-Tuning und In-Context-LearningJay Alammar ist Direktor und Engineering Fellow bei Cohere, dem Vorreiter bei der Bereitstellung von Large Language Models als API. In dieser Funktion berät und schult er Unternehmen und die Entwicklergemeinschaft bei der Verwendung von Sprachmodellen für praktische Anwendungsfälle. Durch seinen beliebten AI/ML-Blog hat Jay Millionen von Forscherinnen und Softwareengineers geholfen, Tools und Konzepte des Machine Learnings visuell zu verstehen - von den Grundlagen (die in der Dokumentation von Paketen wie NumPy und pandas auftauchen) bis hin zu den neuesten Entwicklungen (Transformers, BERT, GPT-3, Stable Diffusion). Jay ist außerdem Mitgestalter von beliebten Kursen zum Machine Learning und Natural Language Processing auf Deeplearning.ai und Udacity.Maarten Grootendorst ist Senior Clinical Data Scientist bei IKNL (Netherlands Comprehensive Cancer Organization). Er hat Master-Abschlüsse in Organisationspsychologie, klinischer Psychologie und Data Science, die er nutzt, um komplexe Konzepte des Machine Learning einem breiten Publikum zu vermitteln. Mit seinen beliebten Blogs hat er Millionen von Leserinnen und Lesern erreicht. Darin erklärt er die Grundlagen der künstlichen Intelligenz - oft aus psychologischer Sicht. Er ist Autor und Betreuer mehrerer Open-Source-Pakete, die sich auf die Stärke von Large Language Models stützen, wie BERTopic, PolyFuzz und KeyBERT. Seine Pakete werden millionenfach heruntergeladen und von Datenexperten und Organisationen weltweit genutzt.
Learn Model Context Protocol with Python
Learn Model Context Protocol with Python introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale. Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. Next, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand how to describe the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components. The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps. The Python primer at the end rounds out the practical toolkit, making this book essential for any team building AI-native applications today.
Thinking With Machines
Praise for THINKING WITH MACHINES “Clear, urgent, and deeply human. Dhar’s personal journey through AI makes Thinking with Machines feel less like science fiction and more like a mirror—helping us reflect on trust, resilience, and what it means to stay grounded in a world racing ahead.” —DAVID KO, CEO, Calm “At last, a book by one of the world’s leading AI researchers and practitioners that is both cutting edge and easy-to-read. Part history of the field, part handbook for the non-expert, part AI governance manifesto, and part author’s life journey, Thinking with Machines is indispensable reading for professionals, policymakers, and concerned citizens grappling with the paradigm shift of our times.” —PAUL SHEARD, Economist and Author of The Power of Money “In a world of wannabe AI experts, Vasant Dhar shines as someone who has played the long game, through successive AI hype cycles and winters. In this remarkable book, he provides a calm and reasoned way for us to decipher the world of AI and a playbook for dealing with the most important innovation of our time.” —NANDAN NILEKANI, Co-Founder and Chairman, Infosys, and Founding Chairman, UIDAI (Aadhaar) “In a world filled with AI experts who alternate between relentless hype and imminent doom, Vasant stands out as someone who sees shades of gray in this debate, and has the expertise and good sense to gauge AI’s strengths and limits. I strongly recommend his new book, Thinking with Machines, to everyone who is involved or interested in how AI will change the way we live and work, as I think it will.” —ASWATH DAMODARAN, New York University Professor and Valuation Guru “Vasant Dhar has a unique perspective: building trading algorithms that compound tiny edges into fortunes, then watching AI evolve from narrow applications to a general-purpose technology. In Thinking with Machines, he reveals when to trust algorithms, when to stay skeptical, and how to govern AI before it governs us. A must-read for our AI-powered future.” —ERIK BRYNJOLFSSON, Professor at Stanford University and Co-Founder of Workhelix, Inc. We are entering a brave new world, thanks to AI. We must shape this future to the advantage of everyone, and not just a select few. Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the 90s and was the first to teach AI at NYU Stern. Through his story and the lessons that it reveals, we learn about AI’s progress and reversals, its promises and dangers, and what we need to address before the machine gets away from us. Thinking with Machines is essential reading for AI enthusiasts and learners at all levels seeking knowledge on the greatest technological advancement of our time. VASANT DHAR is Robert A. Miller Professor at the Stern School of Business and Professor of Data Science at New York University. He is also the host of the Brave New World podcast and a frequent contributor to scientific journals and mainstream media about artificial intelligence.