Github Actions in Action
Automate your build, test, and deploy pipelines using GitHub Actions! Continuous delivery (CI/CD) pipelines help you automate the software development process and maximize your team's efficiency. GitHub Actions in Action teaches you to build real-world build, test, and deploy pipelines in GitHub Actions through hands-on labs and projects. In GitHub Actions in Action you will learn how to: - Create and share GitHub Actions workflows - Automate CI/CD workloads and other GitHub tasks - Secure release pipelines with secrets, variables, and environments - Support compliance frameworks - Create safe and scalable self-hosted runners Written by three Microsoft MVPs and tech reviewed by a Staff DevOps Architect from GitHub, this book delivers the hardworking skills and advice you'll need to be successful on the job. DevOps engineers will love GitHub Actions in Action's coverage of reliable methods for Infrastructure-as-Code and automating cloud environments. You'll follow an extended example application for selling tickets, taking it all the way from initial build to cloud deployment. Foreword by Scott Hanselman. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Believe it or not, CI/CD can be simple! With GitHub Actions, you can automate your entire dev process using just the tools built into GitHub--no external frameworks or complex integrations required. GitHub Actions is secure, reliable, and best of all, easy. This book will get you started. About the book GitHub Actions in Action teaches you how to build automated delivery pipelines in GitHub. You'll start with simple examples that demonstrate workflow and action basics, and then you'll dive into platform architecture, security, and workflow runtime details. As you go, you'll build a full CI/CD pipeline, optimizing for compliance, performance, and costs. You'll even create shareable actions for the GitHub marketplace. What's inside - Create and share GitHub Actions workflows - Automate testing and other GitHub tasks - Secure release pipelines with secrets, variables, and environments About the reader For developers and DevOps engineers comfortable with GitHub. About the author Michael Kaufmann is a Microsoft Regional Director and MVP. Rob Bos is an Azure and GitHub Trainer, a Microsoft MVP, a GitHub Star, and a LinkedIn Learning Instructor. Marcel de Vries is a CTO of Xebia Microsoft Services, Microsoft Regional Director, and MVP. The technical editor on this book was James Michael Gousset. Table of Contents Part 1 1 Introduction to GitHub Actions 2 Hands-on: My first Actions workflow 3 Workflows 4 GitHub Actions Part 2 5 Runners 6 Self-hosted runners 7 Managing your self-hosted runners Part 3 8 Continuous integration 9 Continuous delivery 10 Security 11 Compliance 12 Improving workflow performance and costs
Artificial Intelligence and Machine Learning Foundations
Unlock the potential of AI in your organization with this updated, must-read guide, and discover how to leverage AI to drive innovation, improve efficiency, and gain a competitive edge. This comprehensive guide dives into the latest AI ethics legislation, explore advanced robotics and machine learning, and discover how AI enhances human capabilities. Gain powerful insights into today's AI applications and learn how emerging trends could reshape industries while addressing critical ethical challenges. Perfect for beginners and strategists alike, this book is your launchpad to crafting a forward-thinking AI strategy that meets modern standards and keeps your organization on the cutting edge of responsible AI. The new edition aligns to the updated BCS Certification in AI Foundation and Essentials, which this book supports as essential reading.
Phr, Phri and Sphr, Sphri Human Resources Certification Complete Study Guide
Prepare for the updated 2024 PHR, PHRi and SPHR, SPHRi certification exams smarter and faster with this Sybex Study Guide The newly revised sixth edition of the PHR, PHRi and SPHR, SPHRi Human Resources Certification Complete Study Guide: 2024 Exams is the ideal resource for HR professionals seeking to validate their skills and knowledge acquired through years of practical experience or for a relative newcomer to the HR field looking to strengthen their resume. The new edition of the bestselling PHR and SPHR Study Guide reflects the recently updated A Guide to the Human Resource Body of Knowledge--HRBoK--and is written to help you prepare for these challenging exams. The Study Guide walks you through the seven key functional areas of the PHR/PHRi and five key functional areas of the SPHR/SPHRi that are covered in the exams, including business management and strategy, leadership, workforce planning, talent acquisition and talent management, learning and development, total rewards, employee engagement, employee and labor relations, and the most recently added, HR information management. You'll also find: Up-to-date and incisive guidance on topics you'll use every day in your existing or next HR role Updates reflecting the latest additions to both the US and International versions of the exams, including the incorporation of DE&I concepts and cybersecurity needs Complimentary access to Sybex's outstanding online learning environment and test bank, including hundreds of practice test questions, electronic flashcards, and a glossary of key terms Perfect for aspiring and established human resources professionals preparing for the 2024 PHR, PHRi and SPHR, SPHRi certification exams, this Study Guide is also an essential volume for practicing HR professionals seeking to brush up on key, on-the-job skills they'll use each day.
The Promise and Peril of AI and Ia
How should public theologians and social ethicists assess, anticipate, and amend the projected path taken by Artificial Intelligence and Intelligence Amplification? With the advent of generative AI along with large language models, suddenly our techie whiz kids are sounding the fire alarm. Will a Frankenstein monster escape its creator's design? Will more highly evolved superintelligence render today's human race extinct? Is this generation morally obligated to give birth to a tomorrow in which we outdated humans can no longer participate? This book collects foresighted analyses and recommendations from computer scientists, neuroscientists, AI ethicists, along with Christian and Muslim theologians.
Intelligent Educational Robots
This book focuses on recent advances in maker education and in human-robot interaction and on the integration of intelligent educational robots (IER) in P-12 education. It covers various topics and trends about the evolution of maker education and the use of IER and artificial intelligence (AI) in P-12 education. This book offers an overview of recent research into the adoption, integration, advancements, and impact of IER and AI in education. It helps researchers, practitioners, professionals, and academicians of various scientific disciplines explore and better comprehend the state of the art of maker education, AI, and IER, their advancements, impact, and future potentials in education.
The Promise and Peril of AI and Ia
How should public theologians and social ethicists assess, anticipate, and amend the projected path taken by Artificial Intelligence and Intelligence Amplification? With the advent of generative AI along with large language models, suddenly our techie whiz kids are sounding the fire alarm. Will a Frankenstein monster escape its creator's design? Will more highly evolved superintelligence render today's human race extinct? Is this generation morally obligated to give birth to a tomorrow in which we outdated humans can no longer participate? This book collects foresighted analyses and recommendations from computer scientists, neuroscientists, AI ethicists, along with Christian and Muslim theologians.
The Prompting Playbook
About the Book -Welcome to 'The Prompting Playbook - Fueling Imagination through Generative AI!' by Vasudevan Kidambi, the bestselling author of 'One Page Communicator.' In this comprehensive guide, Vasudevan, renowned for his human-centric problem-solving approach, offers a methodical technique to maximize your interactions with generative AI tools.In today's world, efficient interaction with AI tools is a necessity, not just for tech enthusiasts but for everyone. This book bridges the gap by providing a systematic approach to crafting prompts that yield precise and meaningful AI generated responses. Whether you're in the corporate world, content creation, or simply curious about generative AI's capabilities, this guide offers practical insights applicable to various scenarios.With sections covering basic understanding, best practices, prompting formats, illustrations with real-world examples, and ethical guidelines, the book guides you all the way. Vasudevan's extensive experience in corporate communications and AI tools makes this your 'go-to resource' for mastering the art of effective and responsible interactions with AI tools. Now, you can fuel your imagination with 'The Prompting Playbook'.About the Author -Vasudevan Kidambi, affectionately known as the LAST-MILE MAN, is a seasoned professional with over three decades of corporate experience. He's a go-to expert for top organizations in corporate operations and consultancy. Vasudevan revolutionizes corporate communications and data storytelling with One-Page Communication and delves into mastering the use of Generative AI tools for business.As Managing Director of Navo Informatica Pvt. Ltd and Navo Management Consultants, Vasudevan integrates Generative AI into core business strategies. This resulted in leveraging Generative AI for content development, business consulting, change management, and growth marketing.
Artificial Intelligence for Managers
Understand how to adopt and implement AI in your organization Key Features 7 Principles of an AI JourneyThe TUSCANE Approach to Become Data ReadyThe FAB-4 Model to Choose the Right AI SolutionMajor AI Techniques & their Applications: - CART & Ensemble Learning - Clustering, Association Rules & Search - Reinforcement Learning - Natural Language Processing - Image Recognition Description Most AI initiatives in organizations fail today not because of a lack of good AI solutions, but because of a lack of understanding of AI among its end users, decision makers and investors. Today, organizations need managers who can leverage AI to solve business problems and provide a competitive advantage. This book is designed to enable you to fill that need, and create an edge for your career.The chapters offer unique managerial frameworks to guide an organization's AI journey. The first section looks at what AI is; and how you can prepare for it, decide when to use it, and avoid pitfalls on the way. The second section dives into the different AI techniques and shows you where to apply them in business. The final section then prepares you from a strategic AI leadership perspective to lead the future of organizations.By the end of the book, you will be ready to offer any organization the capability to use AI successfully and responsibly - a need that is fast becoming a necessity.What will you learn Understand the major AI techniques & how they are used in business.Determine which AI technique(s) can solve your business problem.Decide whether to build or buy an AI solution. Estimate the financial value of an AI solution or company.Frame a robust policy to guide the responsible use of AI. Who this book is for This book is for Executives, Managers and Students on both Business and Technical teams who would like to use Artificial Intelligence effectively to solve business problems or get an edge in their careers.Table of Contents 1. Preface2. Acknowledgement3. About the Author4. Section 1: Beginning an AI Journey 5. Section 2: Choosing the Right AI Techniques 6. Section 3: Using AI Successfully & Responsibly 7. Epilogue About the AuthorsMalay A. Upadhyay is a Customer Journey executive, certified in Machine Learning. Over the course of his role heading the function at a N. American AI SaaS firm in Toronto, Malay trained 150+ N. American managers on the basics of AI and its successful adoption, held executive thought leadership sessions for CEOs and CHROs on AI strategy & IT modernization roadmaps, and worked as the primary liaison to realize AI value on unique customer datasets. It was here that he learnt the growing need for greater knowledge and awareness of how to use AI both responsibly and successfully. Malay was also one of 25 individuals chosen globally to envision the industrial future for the Marzotto Group, Italy, on its 175th anniversary. He holds an MBA, M.Sc., and B.E., with experiences across India, UAE, Italy, and Canada. A Duke of Edinburgh awardee, Malay has been driving the subject of responsible AI management as an advisor, author, online instructor and member of the European AI Alliance that informed the HLEG on the European Commission's AI policy. At other times, he remains a Fly that loves to travel and blog with Mrs. Fly. Blog links: www.TheUpadhyays.com
AI, Machine Learning and Deep Learning
Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use.While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security).Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects: This is the first book to explain various practical attacks and countermeasures to AI systems Both quantitative math models and practical security implementations are provided It covers both "securing the AI system itself" and "using AI to achieve security" It covers all the advanced AI attacks and threats with detailed attack models It provides multiple solution spaces to the security and privacy issues in AI tools The differences among ML and DL security and privacy issues are explained Many practical security applications are covered
Deep Learning and Its Applications for Vehicle Networks
Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security.(II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Mastering AWS for Cloud Professionals
DESCRIPTION Unlock the power of AWS and elevate your cloud expertise with "Mastering AWS for Cloud Professionals." This comprehensive guide illuminates the path to cloud mastery, offering a blend of theoretical knowledge and practical expertise. Dive deep into Amazon Web Services (AWS), exploring its vast potential to revolutionize business operations and IT infrastructure.This book offers a visually enriched approach to learning AWS, using diagrams and illustrations to simplify complex concepts. Drawing from real-world experiences, it provides practical insights into implementing AWS in enterprise environments. Learn containerization through practical case studies and industry-proven methodologies, and master AWS monitoring tools for optimizing cloud-based applications and infrastructure. This comprehensive guide ensures a deep understanding of AWS solutions for practical use.With real-life scenarios and practical examples woven throughout, you will not only understand AWS solutions but will also be able to apply them effectively. You will be well-versed in leveraging AWS services to design, deploy, and manage secure, scalable, and cost-effective cloud solutions. You will understand how to optimize your cloud environment for performance and efficiency, ensuring your applications are always available and reliable.KEY FEATURES ● Comprehensive exploration of cloud computing principles and AWS-specific methodologies.● Simplify complex AWS concepts with clear, visual diagrams and illustrations.WHAT YOU WILL LEARN● Master AWS architectural fundamentals and build flexible, scalable cloud solutions.● Design and deploy high-performance, globally distributed applications.● Harness the power of containerization and serverless computing paradigms.● Architect microservices and apply AWS Well-Architected Framework best practices.● Leverage data analytics and machine learning capabilities in cloud environments.● Secure, monitor, analyze, and optimize AWS deployments using native observability tools. WHO THIS BOOK IS FORThis book is tailored for a diverse audience of technology professionals, including cloud architects, system engineers, software developers, and IT operations specialists. This comprehensive guide serves as an excellent resource for those preparing for the AWS Solution Architect certification exam.
Internet of Things
This book is a compendium of various applications and current progress in a powerful technology known as the Internet of Things (IoT). IoT provides a system of interconnecting things such as vehicles, electrical equipment, agriculture devices, etc. Such items are allocated with the computing device so that they can use a network to transfer data to one another and automate their actions on certain events.Internet of Things: Applications for Sustainable Development will throw light on recent developments in the latest field and will be of great interest to know various application areas for sustainable development. This book mainly focuses on the current state of the art, including protocol design and low-cost sensor design, for the sustainable development of society using IoT.The sustainable development areas include climate, healthcare systems, electrical systems, and energy that can meet present and next-generation advancement using IoT. Sustainable development faces various issues, challenges, opportunities, and future enhancements with the latest technologies, hardware, and software.Features: A real-world problem-solving approach for diversified problems Potential contributors from industries/academia have been given the opportunity to publish their work Identification of various challenges in IoT for future contributions Diversified coverage of the book, including applications, securities, industrialization, automation, etc IoT for the sustainable development areas This book will offer strong support as a reference book for students, practitioners, researchers, and scientific investigators worldwide, as well as anyone who wants to set up IoT-enabled industries. It provides pertinent industries with new ideas and innovations to visionaries.
Using Artificial Intelligence Absolute Beginner's Guide
Using Artificial Intelligence Absolute Beginner's Guide Who knew how simple AI could be? Using Artificial Intelligence Absolute Beginner's Guide will have you getting the most of popular AI tools in no time! Here's a small sample of what you'll find inside: Learn how AI can make everyday life easier. Get tips for using AI to write, gather information, get advice, and more. Discover how to use AI to generate images that are realistic and fantastical! Examine the risks and rewards of artificial intelligence. Find step-by-step instructions for today's most popular AI tools, including ChatGPT, Google Gemini, Meta AI, Microsoft Copilot, and Midjourney. Find out how to tell when something is AI generated so you don't get fooled by deepfakes. Artificial intelligence can be fun and productive if you know which tools to use and when. Using Artificial Intelligence Absolute Beginner's Guide tells you all about today's major AI tools and shows how to get the best results from them. You'll learn to use AI for turning your ideas into art, writing a great email, sharpening your resume, and even sparking conversation. Instantly research everything from planning a trip to making your next big purchase. It's all a matter of picking the right AI tool and constructing the right prompt. You'll also learn to protect yourself from the risks of AI and distinguish AI fakes from the real thing. Everything you need to know is here in this book!
Unknowable Minds
Imagine that in the cold heart of a secret military facility, a new form of intelligence awakens. It is a synthetic mind born from intricate algorithms and complex computations, operating in ways unfathomable to its human creators. Charged with safeguarding national security, this intelligence orchestrates strategies that defy human ethics and laws of war, leaving its creators both awed and unnerved.Unknowable Minds delves into the unsettling reality of entrusting our safety to an intelligence that lacks human essence. As we navigate the Age of Artificial Intelligence, these systems - powering everything from our smartphones to military defenses - remain inherently opaque and unpredictable. The book explores how AI differs from any technology we've ever developed, its inherent complexities, and the profound risks it poses to our future.Drawing on philosophy, AI theory, and national security insights, this book offers a thought-provoking examination of AI's potential and peril. From the complexities of neural networks to the unpredictable nature of emergent behaviors, Unknowable Minds challenges us to rethink our relationship with AI and its role in the theater of global security.Can we control an unknowable intellect, or will it redefine human existence? As we stand on the precipice of unprecedented technological advancement, understanding and navigating the unknowable minds of artificial intelligences become a quest fraught with extraordinary challenges and existential questions.
All One Needs to Know about Metaverse
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We have created various computer-mediated virtual environments, including social networks, video conferencing, virtual 3D worlds (e.g., VR Chat), augmented reality applications (e.g., Pok矇mon Go), and Non-Fungible Token Games (e.g., Upland). Such virtual environments, albeit non-perpetual and unconnected, have brought us various degrees of digital transformation. The term 'metaverse' has been coined to facilitate further digital transformation in every aspect of our physical lives. At the core of the metaverse stands the vision of an immersive Internet as a gigantic, unified, persistent, and shared realm. While the metaverse may seem futuristic, catalysed by emerging technologies such as Extended Reality, 5G, and Artificial Intelligence, the digital 'big bang' of our cyberspace is not far away.This monograph presents the first effort to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems, and illustrates the possibility of the digital 'big bang'. It is essential to highlight that the metaverse encompasses diverse technologies and ecosystems, calling it an interdisciplinary and emerging field. Its primary objective is to provide users with satisfactory and interactive experiences. First, technologies are the enablers that drive the transition from the current Internet to the metaverse. Eight enabling technologies are rigorously examined - Extended Reality, User Interactivity (Human-Computer Interaction), Artificial Intelligence, Blockchain, Computer Vision, IoT and Robotics, Edge and Cloud computing, and Future Mobile Networks. In terms of applications, the metaverse ecosystem allows human users to live and play within a self-sustaining, persistent, and shared realm. Therefore, six user-centric factors are discussed - Avatar, Content Creation, Virtual Economy, Social Acceptability, Security and Privacy, and Trust and Accountability. Finally, a concrete research agenda is examined for developing the metaverse.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Model Optimization Methods for Efficient and Edge AI
Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications Model Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key applications of the AI paradigm, including computer vision (CV) and Natural Language Processing (NLP), explaining the nitty-gritty of federated learning (FL) and how the FL method is helping to fulfill AI model optimization needs. The book also describes tools that vendors have created, including FL frameworks and platforms such as PySyft, Tensor Flow Federated (TFF), FATE (Federated AI Technology Enabler), Tensor/IO, and more. The first part of the text covers popular AI and ML methods, platforms, and applications, describing leading AI frameworks and libraries in order to clearly articulate how these tools can help with visualizing and implementing highly flexible AI models quickly. The second part focuses on federated learning, discussing its basic concepts, applications, platforms, and its potential in edge systems (such as IoT). Other topics covered include: Building AI models that are destined to solve several problems, with a focus on widely articulated classification, regression, association, clustering, and other prediction problems Generating actionable insights through a variety of AI algorithms, platforms, parallel processing, and other enablers Compressing AI models so that computational, memory, storage, and network requirements can be substantially reduced Addressing crucial issues such as data confidentiality, data access rights, data protection, and access to heterogeneous data Overcoming cyberattacks on mission-critical software systems by leveraging federated learning
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Fly High with Ai
Unlock the secrets to becoming a future-ready product manager in the AI era! Fly High with AI is a comprehensive guide designed for ambitious professionals and recent graduates who want to kickstart a successful career in product management. This practical roadmap equips you with essential skills and insights to thrive in an industry increasingly driven by artificial intelligence.Inside, you'll find real-world case studies, actionable strategies, and industry best practices that help you master core product management competencies like market research, product roadmaps, and stakeholder collaboration. But this book doesn't stop at the basics. Learn to harness AI-powered insights to predict trends, enhance user experiences, and make data-driven decisions that set you apart.Discover how to: Build a strong foundation in product management with an AI perspectiveCollaborate effectively with cross-functional AI and tech teamsDesign ethical, impactful products that balance innovation with responsibilityCreate AI-driven strategies that deliver value and growthIf you're ready to bridge the gap between business goals and advanced technology, Fly High with AI is the guide that will launch your career to new heights.
The Narrow Window
Artificial intelligence is poised to transform almost every aspect of our lives. To thrive in this new world, understanding its potential is crucial. In this accessible guide, The Narrow Window explores the multifaceted ways AI can impact society - from employment and education to privacy and ethics.For non-technical readers, this book offers a clear introduction to AI and data literacy, empowering you to become a thoughtful participant in the coming AI boom. Whether you're curious about the future of jobs, ethical dilemmas, or how AI shapes the media you consume, this book provides the answers.Unlock the knowledge you need to understand the world of tomorrow. Don't just witness the AI revolution - be a part of it!
English for It Communication
English for IT Communication provides a comprehensive introduction for students and professionals studying IT or Computer Science and covers all forms of technical communication from emails and memos through procedures to reports and design specs.
Urban Artificial Intelligence
Tan Yigitcanlar offers a comprehensive exploration of artificial intelligence's (AI) role in shaping modern cities. This volume delves into how AI-driven analytics and big data provide city planners with deeper insights, enabling more informed decision-making. These insights lead to more efficient resource use, improved public services, and better infrastructure management.In the digital age, AI is revolutionising various sectors, fundamentally altering our approach to problem-solving and innovation. AI's transformative power spans industries from healthcare to finance, and now, it is poised to redefine urban planning and development. Urban areas, as the epicentres of human activity and progress, face myriad challenges such as population growth, resource management, environmental sustainability, and infrastructure development. Traditional methods often fall short in addressing these complexities, making the integration of AI an essential frontier. Comprising seven extensive and insightful chapters, this volume bridges the gap between the theoretical potential and practical implementation of AI in urban contexts. It covers foundational concepts of urban AI, examines its applications across different domains, and explores how AI can improve urban life through smarter home technologies and personalised public services.This first volume is complemented by Urban Artificial Intelligence: A Guidebook for Understanding Perceptions and Ethics, which delves into the ethical and perceptual dimensions of AI in urban settings. Together, these volumes provide a holistic view of urban artificial intelligence, offering essential insights for urban planners, policymakers, researchers, and anyone interested in the intersection of AI and urban development.
Urban Artificial Intelligence
This volume thoroughly explores the perceptions and ethical considerations surrounding urban artificial intelligence (AI). Tan Yigitcanlar delves into the complex public and professional views on AI, offering invaluable insights for policymakers, urban planners, and developers.As the world rapidly advances technologically, the role of AI has become increasingly significant. AI's transformative power spans various sectors, revolutionising how we operate and innovate in fields such as healthcare, finance, agriculture, and space exploration. Despite its wide-reaching impact, the integration of AI into urban planning and development remains relatively underexplored. This is surprising given AI's immense potential to revolutionise urban design, management, and experience. Comprising eight comprehensive and insightful chapters, this book examines AI's role in urban contexts, including its applications, public perceptions, and ethical implications. The first part of the guidebook delves into varied perceptions of AI within different urban sectors, presenting detailed perception analyses on AI's role in urban planning, local government services, disaster management, and the construction industry. The second part shifts focus to the ethical implications and responsible implementation of AI in urban settings. It provides frameworks and strategies to ensure AI technologies contribute positively to urban development while mitigating potential risks and ethical concerns.This volume, alongside its companion Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies, offers a holistic view of Urban Artificial Intelligence. Together, these books provide essential insights for urban planners, policymakers, researchers, and anyone interested in AI and urban development, guiding responsible AI integration to foster smarter, more sustainable, and equitable urban environments.
Mastering Visual Studio 2022
Explore real-world examples, from web development to ML and MAUI, and unlock the full potential of the .NET ecosystemKey Features: - Build robust, testable, and maintainable solutions seamlessly with Visual Studio 2022- Master Visual Studio tools for your web, cloud, ML, and cross-platform development needs- Learn to collaborate effortlessly and deploy continuously for enhanced productivity- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Mastering Visual Studio, one of the fastest and most comprehensive integrated development environments (IDEs), is crucial for building efficient, scalable, and modern apps. Written by a seasoned technical expert in .NET with over a decade of experience, Mastering Visual Studio 2022 helps you leverage the full capabilities of this powerful IDE.Packed with step-by-step guidance and self-assessment tools, this book adopts a practical approach to helping you advance your Visual Studio expertise. You'll explore complex topics such as debugging, testing, extension development, and CI/CD, and gain practical insights to enhance your skills. The book covers advanced coding analysis and refactoring techniques that will help improve code quality and maintainability. You'll also get to grips with Visual Studio's capabilities for multi-platform development; integrating machine learning models; and cloud development with Azure, AWS, and Google Cloud. You'll master Git workflows, conflict resolution, and DevOps practices with GitHub Actions and Azure DevOps, ensuring seamless team collaboration and efficient deployment pipelines.By the end of this book, you'll have become proficient in Visual Studio 2022, as well as being able to craft your own customized experience and confidently create robust, high-quality applications.What You Will Learn: - Understand unit testing and apply test-driven development (TDD) within Visual Studio- Familiarize yourself with code analysis and refactoring- Explore web, cross-platform, machine learning, and cloud development- Implement advanced Git workflows, CI/CD, and DevOps practices- Containerize applications for Docker within Visual Studio- Find out how to integrate machine learning into your project- Tailor the IDE to your specific needs to build custom experiencesWho this book is for: This book is for experienced software developers and engineers who want to enhance their skills with Visual Studio 2022. It is particularly useful for individuals who are already familiar with .NET, especially C#. Whether you're a software architect, senior developer, or team lead, this book will help you master the intricacies of Visual Studio 2022 and take your programming abilities to the next level.Table of Contents- Unit Testing and Test-Driven Development- Advanced Debugging Strategies- Advanced Code Analysis and Refactoring- Performance Optimization and Profiling- Multi-Platform App UI Development- Advanced Web Development Tools- Machine Learning Integration- Advanced Cloud Integration and Services- Handling Advanced Git Workflows- Continuous Integration with GitHub Actions- Collaborative Development with Azure DevOps- Visual Studio Container Tools for Docker- Writing Your Own Project Template- Writing Your Own Visual Studio Extensions- Creating and Publishing Powerful NuGet Packages for the Community
Starting Your Software Testing Career
Do you want to become a Software Tester but not sure where to start?Do you want to up-skill so you remain relevant in today's job market?Once you have landed a role as a Software Tester, how do you ensure you thrive in the role?In this book, I will share the different paths you can take towards becoming a software tester, useful ways you can up-skill along with what I wish I knew in my first year of testing.After reading this book you'll also be able to: Understand the difference between Test Cases, Exploratory Testing and Ad Hoc Testing and when one approach is more suitable than the otherWrite an effective bug reportUnderstand the benefits of learning test automation along with when you should and shouldn't write test automationTest against implicit requirementsAdvocate for testabilityHelp prevent bugs from being written
Deep Thinking in the Age of AI
Machines are Thinking . . . Are You? . . . As artificial intelligence and automation rapidly take over routine tasks, the most valuable skills you can possess are uniquely human-critical thinking, deep focus, and the ability to solve complex problems. "Deep Thinking in the Age of AI: Why Critical Thinking and Deep Focus are Essential in a Machine-Driven World" is your definitive guide to mastering these essential skills and staying ahead in an era of unprecedented technological change. As artificial intelligence transforms industries and reshapes the job market, those who can think critically and maintain deep focus will have a distinct advantage. This book offers practical strategies to help you develop these crucial skills, ensuring you not only survive but thrive in the AI revolution. What You'll Discover: The Paradox of Progress: Understand why, as technology makes life easier, the need for deep thinking becomes more critical than ever before.Develop Critical Thinking Skills: Learn how to sharpen your mind, evaluate complex information, and make smarter decisions in a world overflowing with data and distractions.Master Deep Focus: Discover techniques to cultivate deep focus, allowing you to complete high-value work efficiently and achieve mastery in your field.Adapt to the AI Job Market: Gain insights into the future of work, the roles that will be most affected by AI, and how to stay relevant and competitive by continually evolving your skill set.Universal Basic Income (UBI) and AI: Explore the thought-provoking debate on UBI as a solution to AI-induced job displacement and its potential to redefine the future of work. Who Should Read This Book?Professionals and Entrepreneurs: Stay ahead of the curve by mastering the skills that will be most valuable in an AI-driven world.Students and Lifelong Learners: Prepare for the future by developing critical thinking and deep focus-skills that will set you apart in your studies and future career.Leaders and Innovators: Equip yourself with the tools to navigate the complexities of AI, leading your team or organization to success in a rapidly changing landscape. Why This Book?In a time when distractions are everywhere and AI is transforming the way we live and work, this book is a powerful resource for anyone looking to enhance their cognitive abilities and stay relevant. With clear, actionable advice, "Deep Thinking in the Age of AI" is not just a book-it's a blueprint for thriving in a world driven by machines. Are you ready to lead in the age of AI? Order your copy today and take the first step towards mastering the skills that will define your future.
Learning to Flourish in the Age of AI
This timely book affirms that humans can flourish in the Age of AI by relying on their distinctive strengths, and explores the skills and knowledge that are required to interact effectively, efficiently, and responsibly with AIs, both today and in the future.In Part I, this book develops the "Cognitive Amplifier Loop," which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking, creative problem solving, and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships, addressing emotional intelligence, effective communication, leadership, followership, and collaboration skills. Finally, Part III builds on previous chapters to consider how to interact with AIs to help each of us learn and grow. Throughout the book, Kosslyn provides practical strategies and AI-assisted exercises to help readers develop these essential skills and knowledge. Kosslyn argues that by cultivating distinctively human capabilities, we can not only coexist with AI but flourish in an AI-infused world.This book is a must-read for anyone involved with AI, education, or Learning and Development in industry. It will also appeal to anyone studying thinking and decision making, AI and psychology, and the use of technology in the classroom.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Advancements in AI and Iot for Chip Manufacturing and Defect Prevention
This is essential reading for semiconductor professionals seeking to expand their knowledge on silicon processes, understand defect prevention, and explore optimizing processes by reducing defects using AI and IoT technologies. It charts a course where semiconductor manufacturing defects are minimized and maximizes productivity.
Natural Language Processing and Chinese Computing
The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
Artificial Intelligence Techniques in Power Systems Operations and Analysis
An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties.Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering.Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies.Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Haptics: Understanding Touch; Technology and Systems; Applications and Interaction
The two-volume set LNCS 14768 + 14769 constitutes the refereed proceedings of the 14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024, held in Lille, France, during June 30 - July 3, 2024. The 81 full papers presented were carefully reviewed and selected from 142 submissions. They were organized in topical sections as follows: understanding touch; technology and systems; applications and interaction.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Pattern Recognition and Computer Vision
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Haptics: Understanding Touch; Technology and Systems; Applications and Interaction
The two-volume set LNCS 14768 + 14769 constitutes the refereed proceedings of the 14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024, held in Lille, France, during June 30 - July 3, 2024. The 81 full papers presented were carefully reviewed and selected from 142 submissions. They were organized in topical sections as follows: understanding touch; technology and systems; applications and interaction.
Computer Vision - Eccv 2024
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.
