Computer und IT
E-Autos (Rheinwerk Verlag)
Der Ratgeber zum E-Auto-KaufDie Vorteile von E-Autos liegen auf der Hand: komfortables Fahren, günstiges Laden an der eigenen Wallbox, saubere Mobilität ohne das Verbrennen fossiler Rohstoffe. Aber was ist mit dem Reichweitenproblem, den unübersichtlichen Ladeabos und dem hohen Kaufpreis? In diesem Ratgeber bespricht Jörg Rippel alles, was Sie vor dem Kauf und auf den ersten Fahrten wissen müssen. Vom ersten Laden an der Autobahn bis zum Batteriemanagement, von der Ökobilanz bis zur effizienten Fahrweise im Alltag dreht sich alles um Ihre ganz persönliche Mobilitätswende. Technik verstehen Die Technik eines E-Autos ist sicher und ausgereift, funktioniert aber ganz anders als beim Verbrenner. Was Sie über die Batterie, Antriebstechnik und das Thermomanagement wissen müssen, finden Sie in diesem Technikratgeber. Effizient und sparsam unterwegs Ihr neues Auto ist schon effizient, daher lohnt sich eine clevere Fahrweise umso mehr. Schon kleine Änderungen in der Fahrweise senken den Verbrauch spürbar und sparen Energie und damit bares Geld. Zahlreiche Tipps und Hinweise zeigen Ihnen, wie Sie Ihr E-Auto im Alltag am besten nutzen und batterieschonend unterwegs sind. Das richtige Auto für Sie Wie findet man das richtige Modell? Lohnt sich eine PV-Anlage für mehr Autarkie oder brauchen Sie die große Reichweite eines Hybrids? Eine Marktübersicht nach Fahrzeugklassen, Checklisten für den Kauf eines neuen oder gebrauchten E-Autos, ein Vergleich der Ladekarten und -apps helfen Ihnen, eine fundierte Kaufentscheidung zu treffen. Aus dem Inhalt: Mythen und Fakten zu E-Autos Laden leicht gemacht: die ersten Schritte Von der Verbrennung zum Elektromotor Batterie und Antrieb Ladetechnik- und Infrastruktur Marktüberblick und Kaufberatung Sparsam fahren Ladekarten, Netze und Roaming Ökobilanz und erneuerbare Energie Checkliste für den Kauf eines E-Autos Zum Autor:Jörg Rippel ist aus- und fortgebildet in Elektronik, Funktechnik und Informatik. Nach rund zwanzig Jahren Berufserfahrung, zuletzt in der Luft- und Raumfahrt, widmet er sich dem Schreiben von Sachbüchern zu technischen Themen.
Making AI Work for People
Build AI applications that inspire trust in your users and solve real-world problems Making AI Work for People: A Framework for Designing and Building Impactful AI-Powered Applications empowers software engineers, product managers, and app designers to create AI-enabled applications that inspire trust, solve hard problems, and prioritize human needs. Written by Asmaa Ibrahim, Senior AI Consultant at Google and leader of the Gemini in Firebase product launch, this book shows you how to use rapid technological advancement to build successful products that your users can’t get enough of. At the heart of the book is the PRESS framework, a systematic approach ensuring AI products embody five essential principles: People-first design, Responsible in the core, Explainability and interpretability, Safety via benchmarking, and Sustainability and long-term impact. The book demonstrates how to identify AI integration opportunities, design human-centered solutions, measure success with business-focused KPIs, and scale from MVP to production-grade systems while managing costs and infrastructure challenges. This comprehensive guide is essential for software engineers integrating AI into product development, product managers leading AI initiatives, and app designers creating human-AI interfaces. It’s a must-read for executives and technical team managers seeking systematic approaches to responsible AI development that drive measurable business outcomes while maintaining trust, accessibility, and ethical integrity throughout the product lifecycle. Design AI applications that inspire trust, solve real problems, and put people first Making AI Work for People: A Framework for Designing and Building Impactful AI-Powered Applications by Asmaa Ibrahim offers software engineers, product managers, and app designers a comprehensive framework for creating AI-powered applications that truly serve humanity. Ibrahim, Product Lead at Aleph Alpha, experienced ML team leader, AI-driven transformation expert, and leader of the team that created Gemini in Firebase, addresses the critical challenge facing today's tech professionals: how to harness AI's transformative potential while guaranteeing applications remain ethical, accessible, and aligned with human values. This book explores cutting-edge innovation and provides the PRESS framework for designing human-first solutions that enhance – rather than replace – human capabilities. The PRESS framework is a systematic approach that guarantees AI-powered products are designed with five essential principles in mind: People-first design, Responsible in the core, Explainability and interpretability, Safety via benchmarking, and Sustainability and long-term impact. The author offers real-world case studies, proven development methodologies, and insights from successful AI implementations across the telecom, retail and other sectors, showing you how to navigate the complex landscape of AI integration while remaining laser-focused on user needs, trust, and ethics. The book covers everything from identifying opportunities for AI integration and measuring success with human-centered KPIs to scaling applications from MVP to production-grade systems. Making AI Work for People also includes: A comprehensive PRESS framework that guides every stage of AI product development from conception to deploymentPractical strategies for human-AI collaboration that amplify rather than replace human strengths and capabilities in real-world applicationsA proven evaluation flywheel to guarantee that AI applications meet real user needsReal-world case studies from telecom and retail demonstrating successful human-first AI implementationsEssential guidance for scaling AI applications while managing costs, infrastructure challenges, and long-term maintenance requirements This book is essential for software engineers integrating AI into product development, product managers leading AI initiatives, and app designers creating human-AI interfaces who want to build applications that inspire trust and deliver genuine value through the PRESS framework. It's also a must-read for executives and managers of technical teams seeking crucial insights into systematic, responsible AI development practices that drive measurable business outcomes. ASMAA IBRAHIM is a Senior AI Consultant at Google where she led the Gemini in Firebase product launch. She has more than 15 years’ experience in tech, including 9 years dedicated to AI-driven digital transformation efforts. She’s an expert in software engineering, UX collaboration, and business leadership.
The AI Cybersecurity Handbook
The essential framework for integrating artificial intelligence into modern cybersecurity strategy In The AI Cybersecurity Handbook, Caroline Wong—recognized cybersecurity strategist, IANS Faculty Member, and Director at Teradata—defines the new strategic frontier where artificial intelligence and information security converge. Drawing on two decades of executive and technical leadership across governance, risk, compliance, and software security, Wong examines how AI is reshaping both attack and defense. She provides a practical yet forward-looking blueprint for implementing adaptive, AI-driven defenses; mitigating data and model risk; and embedding responsible AI principles into enterprise cybersecurity programs. Through detailed analysis and real-world examples, Wong reveals how threat actors are exploiting AI to accelerate and disguise attacks—and how leading organizations can counter with intelligent detection, predictive analytics, and autonomous response capabilities. Written for security executives, technical leaders, and business decision-makers, The AI Cybersecurity Handbook delivers a cohesive strategy for harnessing AI responsibly, strengthening resilience, and anticipating the next generation of cyber threats. An up-to-date exploration of how AI is transforming cybersecurity and how to implement AI in your organization’s cyber defenses to meet today’s evolving threat landscape In The AI Cybersecurity Handbook, author Caroline Wong examines AI’s impact on both offensive and defensive cybersecurity strategies. Wong explains how artificial intelligence has transformed the way cyberattacks are carried out and how technology professionals prepare for and defend against them. On the offensive side, the author explores how AI is being used to automate, accelerate, and personalize attacks against targets. She shows you how these technologies make cyberattacks cheaper to carry out, harder to detect, and easier to automate at scale--broadening the impact beyond initial targets to include partners, third parties, and critical connected systems. For defenders, this book demonstrates how to use AI to evolve past traditional, rules-based cybersecurity defense to an adaptive model that evolves in real-time to counteract emergent risks and novel attack vectors. These new systems rely on continuously updated data inputs and form resilient bulwarks against formidable threats. Inside the book: Hands-on strategies for minimizing operational barriers to AI implementation to enable new capabilities for defenders and allow for the use of powerful tools, like smart data enrichment, AI-powered query engines, and self-initiating security actionsUp-to-date discussions of how to use AI to accelerate your cybersecurity responses while improving their accuracy, including anomaly detection, threat identification, and dynamic mitigation processesExpert advice for building resilient AI-enabled cybersecurity without compromising on AI ethics Perfect for cybersecurity professionals, IT managers, developers and business leaders looking for actionable guidance on the integration of AI into their IT security practices, The AI Cybersecurity Handbook offers accessible strategies well-suited to people with varying levels of technical expertise. It’s a must-read book for everyone with a stake in safeguarding digital assets. CAROLINE WONG is a recognized cybersecurity strategist with nearly 20 years of experience in GRC, product security, and executive leadership. She serves as Director at Teradata and Faculty with IANS Research, advising Fortune 500 organizations on governance, risk, and resilience. Caroline is the author of Security Metrics: A Beginner’s Guide—inducted into the Cybersecurity Canon Hall of Fame (2022)—and hosts three industry podcasts: Humans of InfoSec, The AI Security Edge, and Wake Up. Her career spans leadership roles at eBay, Zynga, Symantec, Cigital, and Cobalt.
Artificial Intelligence and Biodiversity
Harness the power of the digital frontier to save our planet with this essential guide, which demonstrates how deep learning, genetic engineering, and AI-based robotics can be integrated to track biodiversity, restore genetic diversity, and rebuild fragile ecosystems with unprecedented precision. From satellite imagery to genetic sequencing, AI is helping researchers track biodiversity, predict ecosystem changes, and monitor endangered species with unprecedented precision. This book delves into the exciting ways that artificial intelligence (AI), particularly deep learning, is being used to analyze complex ecological data. It offers an in-depth look at how these AI-driven technologies are transforming how we approach biodiversity conservation on a global scale, examining the role of genetic engineering, guided by AI, in restoring genetic diversity and helping species adapt to rapidly changing environments. Additionally, the book highlights how AI is revolutionizing ecosystem restoration, using AI-based robotics and reinforcement learning to restore habitats such as forests, wetlands, and coral reefs. It looks at real-world applications where AI systems are actively being used to rebuild damaged ecosystems, suggesting new ways to restore balance to nature. Through a combination of practical case studies and theoretical insights, this guide serves as an essential resource for anyone interested in the future of conservation, whether you are an AI specialist, an environmental scientist, or simply someone passionate about protecting the planet. By blending the latest in AI research with real-world biodiversity challenges, this book paints a picture of a future where technology and nature work hand in hand to safeguard life on Earth. Umesh Kumar Lilhore, PhD is a Professor in the Department of Computer Science and Engineering at Galgotias University. He has authored ten books, more than 100 research articles in journals, and filed 50 patents across India and the UK. His research interests include artificial intelligence, machine learning, and software engineering. Sarita Simaiya, PhD is a Professor of Computer Science and Engineering at Galgotias University with more than 17 years of teaching and research experience. She has published more than 140 articles in international journals and conferences. Her research focuses on machine learning, Internet of Things, and AI. Surjeet Dalal, PhD is a Professor and researcher with more than 20 years of experience in teaching and research in Computer Science and Engineering. He has published more than 140 articles in international journals and conferences. His research interests include artificial intelligence and cloud computing. Martin Margala, PhD is the Director of the School of Computing at the University of Louisiana at Lafayette with more than 25 years of experience in teaching and research. He has more than 400 publications to his credit, including in international journal articles and conference proceedings. He specializes in exascale computing, ultra-high frequency design, and design for reliability.
Retrospektiven in der Praxis
Know-how, um Retrospektiven kreativer und erfolgreicher zu gestalten •Kompaktes Referenzwerk mit neuen Impulsen für die Vorbereitung, Durchführung und Nachbereitung von Retrospektiven •Leicht verständlich geschrieben mit vielen motivierenden Beispielen und Tipps aus der Praxis •Ein Werkzeugkoffer für Moderatoren, Facilitatoren und Change Agents Retrospektiven sind eine der tragenden Säulen eines erfolgreichen Change-Prozesses und eines der wichtigsten Werkzeuge, um die notwendigen kulturellen Veränderungen in Teams und in der Organisation zu initiieren und zu begleiten. Sie können überall dort eingesetzt werden, wo ein kontinuierlicher Verbesserungsprozess etabliert werden soll. Praxisnah und mit vielen Beispielen beschreibt der Autor, wie Retrospektiven vorbereitet, moderiert und ergebnisorientiert durchgeführt werden. Er geht dabei auch auf verteilte, lösungsorientierte und systemische Retrospektiven ein und zeigt typische Probleme und Fallstricke auf. Die 2. Auflage vertieft die Arbeit mit verteilten Teams, was beim Setting von Online-Gesprächen und -Meetings zu beachten ist sowie Change Management mit Retrospektiven und wurde um das Thema »Psychologische Sicherheit« ergänzt.
Retrospektiven in der Praxis
Know-how, um Retrospektiven kreativer und erfolgreicher zu gestalten •Kompaktes Referenzwerk mit neuen Impulsen für die Vorbereitung, Durchführung und Nachbereitung von Retrospektiven •Leicht verständlich geschrieben mit vielen motivierenden Beispielen und Tipps aus der Praxis •Ein Werkzeugkoffer für Moderatoren, Facilitatoren und Change Agents Retrospektiven sind eine der tragenden Säulen eines erfolgreichen Change-Prozesses und eines der wichtigsten Werkzeuge, um die notwendigen kulturellen Veränderungen in Teams und in der Organisation zu initiieren und zu begleiten. Sie können überall dort eingesetzt werden, wo ein kontinuierlicher Verbesserungsprozess etabliert werden soll. Praxisnah und mit vielen Beispielen beschreibt der Autor, wie Retrospektiven vorbereitet, moderiert und ergebnisorientiert durchgeführt werden. Er geht dabei auch auf verteilte, lösungsorientierte und systemische Retrospektiven ein und zeigt typische Probleme und Fallstricke auf. Die 2. Auflage vertieft die Arbeit mit verteilten Teams, was beim Setting von Online-Gesprächen und -Meetings zu beachten ist sowie Change Management mit Retrospektiven und wurde um das Thema »Psychologische Sicherheit« ergänzt.
Vibe Coding professionell
Die Softwareentwicklung von morgen beginnt heute •Mit KI-Kompetenz die eigene Karriere zukunftssicher gestalten: für Einsteiger und erfahrene Developer. •Für die gesamte Softwareentwicklung von Prototyping und Web-App-Entwicklung bis zu Qualitätssicherung und Sicherheitsfragen •Inklusive Vibe-Coders-Toolkit mit fortgeschrittenen Techniken und Best Practices KI verändert die Softwareentwicklung: Programmierer schreiben nicht mehr nur Code, sondern arbeiten mit der KI, indem sie ihr Intentionen und Ziele mitteilen – das ist Vibe Coding. Das Buch zeigt, wie KI-gestützte Tools wie GitHub Copilot und OpenAI Codex die Softwareentwicklung nachhaltig verändern: von der Automatisierung von Routineaufgaben bis zu KI-Input bei Architektur- und Designentscheidungen. Dieser Leitfaden bietet Entwicklern, technischen Leiterinnen und Unternehmen praktische Strategien, um KI effektiv in ihre Arbeitsabläufe zu integrieren. Sie erfahren, wie Sie KI-generierten Code optimieren, Prompt Engineering souverän beherrschen und fortgeschrittene Techniken wie Modelloptimierung und agentenbasierte Softwareentwicklung nutzen.
Google Cloud Certified Cloud Digital Leader Study Guide
A comprehensive and authoritative guide to succeeding on the Google Cloud Certified Cloud Digital Leader exam The Google Cloud Certified Cloud Digital Leader Study Guide is your hands-on resource for comprehensive coverage of the Cloud Digital Leader exam. This Sybex Study Guide covers 100% of the exam’s domain competencies. Prepare for the exam smarter and faster with Sybex thanks to efficient and robust content, including an assessment test that validates and measures exam readiness, objective map, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Remember and retain what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the Cloud Digital Leader exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Digital Transformation with Google CloudExploring Data Transformation with Google CloudInnovating with Google Cloud Artificial IntelligenceModernize Infrastructure and Applications with Google CloudTrust and Security with Google CloudScaling with Google Cloud Operations ABOUT THE GOOGLE CLOUD DIGITAL LEADER CERTIFICATION A Cloud Digital Leader can articulate the capabilities of Google Cloud core products and services and how they benefit organizations. They can also describe common business use cases and how cloud solutions support an enterprise. 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 foundational introduction to Google Cloud core technologies to help you ace the exam and prepare for a brand-new career In Google Cloud Certified Cloud Digital Leader Study Guide, Google AI Leader, Jon Flynn, delivers an easy-to-follow and authoritative guide to succeeding on the Cloud Digital Leader Exam and on your first day as a Google Cloud professional. In the book, you’ll find all the material you need to prepare for this valuable exam, as well as the info that you’ll require to collaborate with Google Cloud professionals at your job, whether you’re in a business, finance, sales, or marketing role. You’ll learn to articulate the capabilities of Google Cloud core products and services and how they might benefit your organization, as well as explain common business use cases of various cloud solutions. The book includes: Efficient and effective learning strategies for every objective on the Cloud Digital Leader exam, including digital transformation, data innovation, infrastructure and application modernization, security, and operationsJob-ready techniques to help you hit the ground running on your first day in your new career as a Google Cloud professionalComplimentary access to the online Sybex learning environment, complete with a pre-book assessment quiz, online test bank and practice test, electronic flashcards, and a searchable glossary The perfect resource for anyone preparing for the foundational Cloud Digital Leader exam, Google Cloud Certified Cloud Digital Study Guide is the ideal book for anyone who collaborates with Google Cloud professionals and those preparing for a new career using Google Cloud core technologies. ABOUT THE AUTHOR JON FLYNN is Head of AI Sales at Google where he leads an AI sales team that focuses on go-to-market (GTM) strategies and digital transformation in finance, construction, tech, media, telecom, gaming, retail, and other industries. He’s an expert in content production, distribution, storytelling, and global entertainment.
Computer Memories 2
Memory, the second function of a computer, has gradually become more complex in order to meet growing needs in terms of capacity, speed, security and energy efficiency. It takes the form of a component or system, such as a memory subassembly or a mass storage device. For several decades, there has been a strong trend towards integrating memory directly into the processor under the term embedded memory, of which cache memory is a typical example. Understanding its internal mechanisms and interfacing is essential for mastering the operation of a computer and programming it efficiently. Computer Memories 2 focuses on the static storage cell and its associated component, known as static random-access memory. The first part presents the main temporal characteristics of a generic random-access memory, as well as its electrical and mechanical properties, including aspects related to encapsulation. The second part focuses on the study of the first category of random-access semiconductor memory: asynchronous static memory, commonly referred to by the acronym SRAM (static random-access memory). The book details its temporal, electrical and mechanical characteristics, providing an in-depth understanding of its operation and technical specifications. Philippe Darche is Lecturer in Computer Science at the University Institute of Technology (IUT) of Paris – Rives de Seine and Researcher in the Distributed Algorithms and Systems (DeLyS) team at LIP6, Sorbonne University, France. He is also the author of fifteen books on computer architecture.
Ihr Smart Home mit Home Assistant (2. Auflg.)
Home Assistant strukturiert einrichten und individuelle Heimautomation sicher umsetzen Sowohl für Einsteiger als auch technisch versierte Anwender, die ihr Smart Home herstellerunabhängig und flexibel steuern möchtenSystematischer Einstieg von Installation und Konfiguration bis zur stabilen GeräteintegrationAutomationen mit Szenen und Blueprints entwickeln sowie eigene YAML-Skripte erstellenEigene Smart-Home-Geräte mit ESPHome einbinden und gezielt erweiternSicherheit, Backups und langfristig stabile Systemarchitektur Home Assistant einrichten und anpassen In diesem Quickstart-Guide erhalten Sie das nötige Wissen, um Home Assistant in Betrieb zu nehmen und Ihr Smart Home an Ihre persönlichen Bedürfnisse anzupassen. Hierbei liegt ein besonderer Schwerpunkt auf Sicherheit, Flexibilität und Stabilität. Ein kurzer Rundgang durch die Benutzeroberfläche macht Sie mit allen wichtigen Funktionen vertraut. Automation für Einsteiger und FortgeschritteneSie erhalten eine leicht verständliche Einführung in die Automation mit Szenen und Blueprints. Vielseitig einsetzbare Beispiele wie smarte App-Benachrichtigungen oder die Verarbeitung von Wetterdaten dienen als Ausgangspunkt für individuelle Automationen. Technisch versierte Nutzer erfahren, wie sie Skripte von Grund auf selbst erstellen und eigene Smart-Home-Geräte mit ESPHome einbinden. Aus der Praxis für die PraxisSie profitieren von der jahrelangen Erfahrung des Autors. Praktische Tipps und unverzichtbare Must-have-Einstellungen helfen Ihnen, typische Stolperfallen zu vermeiden und Ihre Heimautomation ganz nach Ihren Vorstellungen umzusetzen.Aus dem Inhalt: Installation und EinrichtungBenutzeroberfläche kennenlernenWichtige Einstellungen und individuelle KonfigurationSicherheit und BackupsNeue Geräte hinzufügenEntscheidungshilfe: ZigBee, Z-Wave, Matter, Thread oder WLANZonen, Bereiche, Etagen und LabelsAutomation mit Szenen und VorlagenSkripte und YAML-CodeEigene Smart-Home-Geräte mit ESPHomeCompanion App für Mobilgeräte Oliver Kluth beschäftigt sich seit 2018 täglich mit Home Assistant und teilt seine gemachten Erfahrungen und hierauf aufbauende Tipps unter smarterkram.de und auf YouTube. Als Familienvater liegt sein Fokus darauf, das eigene Smart Home in den bestmöglichen Einklang mit dem Familienleben zu bringen, ohne hierbei auf Komfort verzichten zu müssen.
Die Adaptive Lernpräferenzdiagnostik - Ein neuer Blick auf KI-gestütztes Lernen, bei dem der Mensch im Mittelpunkt steht
Dieses Buch beleuchtet, warum viele digitale Lernsysteme trotz fortschrittlicher Technologien die Logik traditioneller Bildung reproduzieren und damit ihr Potenzial nicht vollständig entfalten. Es eröffnet neue Perspektiven auf Lernen im Zeitalter von Künstlicher Intelligenz und zeigt, weshalb ein tieferes Verständnis menschlicher Lernprozesse entscheidend ist. Mit der Neuentwicklung der Adaptive Lernpräferenzdiagnostik (ALPD) stellt der Autor einen konzeptionellen Rahmen vor, der EdTech-Organisationen, Bildungsträgern und Entwicklern hilft, Lernsysteme verantwortungsvoll, wirksam und zukunftsfähig zu gestalten.
Human-AI Collaboration in Production Management
The advent of artificial intelligence (AI) and machine learning (ML) has significantly transformed production management in industrial manufacturing by enabling data-driven decision-making. While human decision-making is valued for its adaptability and contextual understanding, AI-driven systems offer the advantage of faster, data-driven decisions. The concept of hybrid intelligence combines these two poles by utilizing the potential of AI without neglecting the necessary integration of human expertise. However, a structured method for determining the appropriate degree of automation – defining the division of tasks between humans and AI for each decision – is still lacking. Thus, this thesis develops a framework to determine the optimal level of Human-AI collaboration for production management use cases. This framework enables organizations to leverage AI effectively across various scenarios, complementing human expertise to enhance operational efficiency and decision-making processes. By offering a systematic method, the framework helps avoid suboptimal AI/ML deployments and supports organizations in harnessing hybrid intelligence for innovative and future-ready production management.
Psychiatry and Technology
Modernize your psychiatric practice with this comprehensive guide, which explores the transformative power of AI-powered therapy, virtual reality exposure therapy, and digital health technologies to create more accessible, personalized, and effective mental health interventions. Historically, psychiatry has relied on traditional face-to-face interactions, manual assessments, and pharmacological treatments. However, the advent of digital health technologies has begun to transform these conventional methods, offering new tools and approaches that promise to enhance the effectiveness, accessibility, and personalization of mental health care. From AI-powered therapy bots to virtual reality exposure therapy, this book will delve into the innovative ways technology is reshaping the field of psychiatry. With insightful discussions, case studies, and expert insights, this book will serve as a comprehensive guide to understanding the transformative power of technology in mental health care. Raghavendra M. Devadas, PhD is an Assistant Professor at the Manipal Institute of Technology at the Manipal Academy of Higher Education. He has edited two books, filed two patents, and received two grants. His areas of interest include machine learning, software engineering, fuzzy logic, and databases. Vani Hiremani, PhD is an Assistant Professor at the Symbiosis Institute of Technology with more than 15 years of experience. Her work spans high-impact publications, patents, and books in AI-driven applications. Her research specializes in computer vision, deep learning, AI, and machine learning. Preethi, PhD is as an Assistant Professor in the Department of Information Technology at the Manipal Institute of Technology with more than 17 years of teaching experience. She has more than 35 publications in international journals and conferences of repute. Her research interests include computer architecture, IoT, cybersecurity, and image processing. Praveen Gujjar, PhD is an Associate Professor and Area Head of Business Analytics in the CMS Business School at Jain University with more than 16 years of teaching experience. He has authored numerous publications in reputed journals, holds 86 patents, and has secured major research grants from multiple entities. He specializes in data visualization, predictive analytics, and prescriptive analytics. Sapna R., PhD is an Assistant Professor in the Manipal Institute of Technology. She has published more than 60 research articles in international journals and conferences of repute. Her areas of interest include machine learning, semantic web, image processing, and IoT. Manoj Shettar, PhD is an Associate Professor in the Department of Psychiatry at the Sri Dharmasthala Manjunatheshwara College of Medical Sciences and Hospital and a compassionate psychiatrist with more than eight years of clinical, teaching, and research experience. He is actively involved in undergraduate and postgraduate teaching, with a strong emphasis on diagnosis, therapy, and patient management.
Creational Design Patterns in Java
Discover a focused and practical introduction to creational design patterns in Java. This book is designed to help busy Java developers quickly understand the importance of high-quality software design, showing how creational patterns contribute to building flexible, maintainable, and scalable applications. You will explore five key patterns: Simple Factory, Factory Method, Singleton, Builder, and Prototype—along with an insightful discussion on Dependency Injection. Each pattern is explained with real-world scenarios, practical examples, and complete Java implementations using the latest language version. It also includes Q&A sessions throughout the book to help reinforce understanding and prepare you for technical interviews. This pocket guide is concise and beginner-friendly. It offers a modern approach for busy Java developers seeking to master creational design patterns without feeling overwhelmed. What You Will Learn: Understand the core concepts and benefits of design patterns.Explore real-world applications of creational design patterns.Implement each pattern hands-on using the latest version of Java.Compare traditional patterns with their alternatives, analyzing pros and cons.Prepare for technical interviews through interactive Q&A sessions. Who This Book is for: Java developers with OOP experience who are new to design patterns and want to strengthen their software design skills.
AI Agents for Secure and Software-Defined Networking
This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough—this book reveals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges. The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques—including reinforcement learning, graph neural networks, and explainable AI—can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems—essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure. What you will learn: Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recovery Who this book is for: This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
Künstliche Intelligenz für Dummies
So verlieren Sie Ihre natürliche Scheu vor der Künstlichen Intelligenz Künstliche Intelligenz begegnet uns immer mehr im täglichen Leben. Egal ob intelligente Autos, Roboter, Chatbots oder Systeme, die uns im Schach und Go besiegen, KI wird immer wichtiger. Ralf Otte beschreibt präzise und dennoch so einfach wie möglich diejenigen Algorithmen, die all das ermöglicht haben, erläutert Beispielanwendungen aus Industrie und Gesellschaft und zeigt darüber hinaus klare Grenzen für die Künstliche Intelligenz der nächsten Jahre auf. In dem Buch werden auch die mathematischen Grundlagen der KI besprochen, sie sind jedoch nicht zwingend notwendig, um die Kernaussagen des Buches zu verstehen. Sie erfahren Was der Unterschied zwischen Schwacher und Starker KI istWie Large Language Models funktionierenWie Maschinen denken und lernenWie die Zukunft der KI aussieht Dr. Ralf Otte ist Professor für Automatisierungstechnik und Künstliche Intelligenz an der Technischen Hochschule Ulm. Seit über 30 Jahren arbeitet er im Bereich der KI und ist Autor von zahlreichen KI-Büchern, unter anderem Allgemeinbildung Künstliche Intelligenz für Dummies.
Digitaler Zwilling zur Virtualisierung von Arbeitsprozessen am Powertrain-in-the-Loop-Prüfstand
Die zunehmende Verlagerung komplexer Fahrzeugerprobungen auf Hardware-in-the-Loop-Prüfstände reduziert Fahrzeugentwicklungszeiten und -kosten, geht jedoch mit einer gestiegenen Komplexität der Echtzeitsimulation einher. Jannes Schilling untersucht daher, wie digitale Zwillinge zur Virtualisierung von Arbeitsprozessen an Antriebsstrangprüfständen beitragen und dadurch die Effizienz der Erprobung steigern können. Dafür wird ein iterativer Prozess vorgestellt, bei dem basierend auf einem initialen digitalen Zwilling schrittweise operative digitale Zwillinge aufgebaut werden. Diese operativen Zwillinge ermöglichen es, Erprobungen virtuell vorzubereiten und zu analysieren, bevor sie auf den realen Prüfstand übertragen werden. Die Anwendung des Prozesses anhand der Entwicklung eines hochdynamischen Fahrermodells zeigt, dass sich sowohl die Messdatenqualität verbessert als auch die Prüfstandsdurchlaufzeiten verkürzen. Dabei werden moderne Methoden wie Reinforcement Learning eingesetzt, um Fahrer- und Fahrzeugverhalten realistisch zu modellieren und die Potenziale digitaler Zwillinge zu bewerten.
Developer Relations Activity Patterns
Developer relations (DevRel) go beyond just blog posts, conference talks, and clever tweets. It is a discipline grounded in intention, empathy, and consistent actions. This book outlines foundational strategies employed by successful DevRel teams in just 39 focused patterns. Using a tactical approach to effectively engage in developer relations, eachpattern is based on real-world experience and designed for scalability. By using a pattern form to describe the various activities of developer relations in detail, the book clearly lays out the intention, shows how to create empathy with your audience, and provides a clear guide on how to execute it. Within this book, you'll discover how to extend your reach, enhance meaningful interactions, and align your initiatives with both developer communities and company strategy without compromising your values or experiencing burnout. Whether you're a solo advocate, managing a small startup team, or leading DevRel on a larger scale, Developer Relations Activity Patterns is your practical playbook for refining strategy and amplifying your impact. You will: Gain a greater understanding of what developer relations means and the range of activities under its remitLearn the tools, approaches, and new tactics for developer community engagementUnderstand how and when to apply each tactic, based on your aims and objectives This Book Is For: Developer Relations teams, including group leaders, direct reports, senior executives in the developer community, and company product managers looking to understand and establish a DevRel function in their organization.
Mediensozialisation in „smarten“ Umgebungen
Prozesse der Datafizierung und Automatisierung restrukturieren Medien- und Alltagswelten auf tiefgreifende Weise. Vielfältige Dateninfrastrukturen von digitalen Plattformen bis Sensormedien sind Treiber dieser Entwicklung. Damit ändern sich die Bedingungen von Selbst- und Sozialwerdung, oft unhinterfragt und intransparent im "Rücken der Subjekte". Für die Mediensozialisationsforschung stellen sich Fragen des Aufwachsens sowie nach Gestaltungsspielräumen und Handlungsmacht völlig neu. Der Band widmet sich der veränderten Ausgangslage über die theoretische Rejustierung einschlägiger Ansätze sowie auf Basis empirischer Fallstudien und gegenstandsbezogener Analysen.
iPad and iPad Pro For Dummies
iPad know-how, without the hassle Tablets are handy little computers that can do a lot, at home or on the go. With iPad and iPad Pro For Dummies, you can master your new Apple tablet, including setting it up, customizing it, and installing the latest updates. Get connected, find the apps you need, and troubleshoot common problems—all with the jargon-free instructions in this guide. Learn to use your iPad for fun and functionality, whether it’s your first tablet or your fifteenth. Inside … iPad setup and basicsNew AI-based featuresMust-have iPad appsTips for taking great photosHow to customize your settingsiPad setup for your kidsProductivity tips & shortcutsTroubleshooting issues Transform your iPad into a powerhouse of fun and productivity Ready to unlock everything your iPad can do? This updated edition of iPad & iPad Pro For Dummies takes you from casual user to confident iPad pro in no time! Explore the world's most popular tablet and discover useful features you never knew existed alongside exciting new capabilities. Whether you're taking photos, organizing your day, or streaming your favorite shows, this guide gives you practical tips you can use immediately. Discover how to: Customize settings to save you time and effort every dayLeverage Apple Intelligence—let AI handle the boring stuff so you can focus on what mattersStay connected with friends and family through email, text, FaceTime, and moreCreate and edit photos and videos with confidence From first-time iPad owners to experienced users looking for new tricks, iPad & iPad Pro For Dummies is your step-by-step guide to getting more from your tablet. Paul McFedries is a long-time technical writer and the owner of approximately 583 iPads. Paul has more than 110 published titles that have sold over four million copies worldwide. His For Dummies work includes CodingFor Dummies, HTML, CSS, & JavaScript All-in-One For Dummies, and Google Workspace For Dummies.
Integrating Marketing Analytics Approaches into B2B Lead Management
Despite the growing importance of acquiring new customers due to increased global competition, lead management processes in business-to-business (B2B) companies often remain ineffective. Marketing analytics offers opportunities to address common issues in lead generation, lead scoring, and lead nurturing through data insights. Simultaneously, it enables companies to measure the effectiveness of their lead management efforts. Nevertheless, the extent of data-driven decision-making varies in practice, and the academic literature on marketing analytics in B2B lead management remains fragmented. This thesis bridges the gap by demonstrating how marketing analytics approaches can be integrated into B2B lead management to improve process effectiveness. The findings are summarized in a practical guide that contains concrete steps and recommendations for B2B marketing professionals, considering different maturity levels.