Artificial Intelligence
In a world where technology is advancing at an astounding rate, artificial intelligence (AI), machine learning (ML), and deep learning (DL) are leading the way in bringing about previously unheard-of changes to almost every aspect of our lives. Artificial intelligence (AI) has become ingrained in modern life, from smart homes anticipating our needs to modern medical diagnostics, demonstrating its indispensable role as a partner in human progress rather than merely an aid.With its title, "Artificial Intelligence: Harnessing the Power of Machine Learning and Deep Learning," the e-book seeks to serve as your introduction to this fascinating and ever-evolving world, where the limits of human capabilities are continually being pushed to the limit. Whether you are an experienced practitioner looking to expand your knowledge or a curious mind exploring this field for the first time, this thorough guide aims to provide insightful information.We will go on an insightful journey together in the upcoming chapters as we examine the complex web of ideas, advancements, and technologies that make up the field of artificial intelligence. We will discuss the algorithms that enable machines to learn from and forecast data as we delve deeply into machine learning principles. As we continue, we will delve deeper and deeper into the fascinating field of deep learning, a subset of machine learning that is described by neural networks that can remarkably mimic the functioning of the human brain
Patterns, Predictions, and Actions
Dive into the captivating world of artificial intelligence and data-driven innovation with "Patterns, Predictions, and Actions: A Story about Machine Learning" by acclaimed authors Moritz Hardt and Benjamin Recht. This enthralling narrative unfolds like a carefully crafted algorithm, weaving together the threads of cutting-edge technology, human ingenuity, and the limitless possibilities of machine learning. Embark on a journey that unravels the intricate patterns hidden within vast datasets, as Hardt and Recht skillfully guide you through the labyrinth of algorithms and models. Immerse yourself in the language of data science, where every line of code tells a story, and every prediction holds the key to unlocking unprecedented insights. From regression analysis to deep neural networks, this book explores the diverse landscape of machine learning, offering readers a comprehensive understanding of the tools shaping the future. As you turn the pages, you'll witness the power of predictive analytics as it transcends industries, from finance to healthcare, and transforms the way we approach complex problems. The authors illuminate the synergy between man and machine, emphasizing how collaborative efforts between humans and algorithms can usher in a new era of technological advancement and societal progress. "Patterns, Predictions, and Actions" is not merely a book; it's a roadmap for the curious minds seeking to decipher the intricate dance between data and decisions. With each chapter, you'll discover how machine learning algorithms unravel patterns in chaos, predict future trends with uncanny accuracy, and ultimately empower us to take decisive actions that shape the world around us. This literary masterpiece is a treasure trove of knowledge for both the seasoned data scientist and the curious novice. Whether you're fascinated by the mathematical intricacies of machine learning or intrigued by its real-world applications, this book offers a rare blend of technical expertise and storytelling prowess. Uncover the secrets of machine learning, demystify the algorithms driving innovation, and embark on a journey that explores the intersection of human intuition and artificial intelligence. "Patterns, Predictions, and Actions" invites you to envision a future where the marriage of data and decision-making transforms not just industries, but the very fabric of our existence. Immerse yourself in this captivating narrative, and let the algorithms guide you through a story that is as profound as it is predictive.
Machine Learning for Decision Makers
This new and updated edition takes you through the details of machine learning to give you an understanding of cognitive computing, IoT, big data, AI, quantum computing, and more. The book explains how machine learning techniques are used to solve fundamental and complex societal and industry problems. This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in machine learning. A new chapter on quantum computers and machine learning is included to prepare you for future challenges. Insights for decision makers will help you understand machine learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of machine learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to machine learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, quantum machine learning, and reinforcement learning from human feedback (RLHF) technology. Upon completing this book, you will understand machine learning, IoT, and cognitive computing and be prepared to cope with future challenges related to machine learning. What You Will LearnMaster the essentials of machine learning, AI, cloud, and the cognitive computing technology stackUnderstand business and enterprise decision-making using machine learningBecome familiar with machine learning best practicesGain knowledge of quantum computing and quantum machine learningWho This Book Is ForManagers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them
The Same Paragraph Over and Over
To you, This Book contains Forwards and The Same Paragraph Over and Over Again. Every time the paragraph appears, it might be in a different font and size.I will post the Paragraph, that you wouldn't need to buy the book for the Paragraph itself.This Book was made to test a few things. One of them is how to publish a book.Like many other tests in life, also this one brought me more than I expected.This book is inspiring and thought-provoking (in the most gentle way I could mange).Take this into account if you will add it to your life or anyone else's life.But probably you can say something similar about every book...This version is a printed copy. That means that it can lay in your bathroom or on your shelf.It is enough to peek into it from time to time.Even just glance at the cover on the shelf, as I often do with my own books.Mark on it.Forget it somewhere.On the flip side, if you have too many books, or you need your money for something else, keep your money for something else.What I'm offering here, is not important. Especially if you are able to let go and continue.If you bought the book and felt that I misled you in some way or evoked emotions or thoughts, you are welcome to write to me on some platform.If I'm not responding, I probably haven't seen your message. Try another platform. I am a slow and broken person: )There is no refund.If the printing got messed up, the pages mixed up, missing, or any kind of unplanned event happened to the book you just purchased, I would recommend taking it as an opportunity to observe our limited control in life, and the presents and dispresents it offers.I love you, BarakThe Paragraph: Far beyond the mundane world we know, in a realm where time is but a concept, resided a peculiar entity named Zephyr. Zephyr was neither bound by form nor hindered by the physical, yet he found a fascination in the order of the mortal realm. Each instance was a repetition, a spiral in the cosmic ballet, the stars singing their celestial sonnet. To Zephyr, each moment in time was a repetition, an echo of a cosmic rhythm that spread across the vast expanse of the multiverse, resonating with the strings of reality itself.
The Definitive Guide to Google Vertex AI
Implement machine learning pipelines with Google Cloud Vertex AIKey Features: Understand the role of an AI platform and MLOps practices in machine learning projectsGet acquainted with Google Vertex AI tools and offerings that help accelerate the creation of end-to-end ML solutionsImplement Vision, NLP, and recommendation-based real-world ML models on Google Cloud PlatformPurchase of the print or Kindle book includes a free PDF eBookBook Description: While AI has become an integral part of every organization today, the development of large-scale ML solutions and management of complex ML workflows in production continue to pose challenges for many. Google's unified data and AI platform, Vertex AI, directly addresses these challenges with its array of MLOPs tools designed for overall workflow management.This book is a comprehensive guide that lets you explore Google Vertex AI's easy-to-advanced level features for end-to-end ML solution development. Throughout this book, you'll discover how Vertex AI empowers you by providing essential tools for critical tasks, including data management, model building, large-scale experimentations, metadata logging, model deployments, and monitoring. You'll learn how to harness the full potential of Vertex AI for developing and deploying no-code, low-code, or fully customized ML solutions. This book takes a hands-on approach to developing u deploying some real-world ML solutions on Google Cloud, leveraging key technologies such as Vision, NLP, generative AI, and recommendation systems. Additionally, this book covers pre-built and turnkey solution offerings as well as guidance on seamlessly integrating them into your ML workflows.By the end of this book, you'll have the confidence to develop and deploy large-scale production-grade ML solutions using the MLOps tooling and best practices from Google.What You Will Learn: Understand the ML lifecycle, challenges, and importance of MLOpsGet started with ML model development quickly using Google Vertex AIManage datasets, artifacts, and experimentsDevelop no-code, low-code, and custom AI solution on Google CloudImplement advanced model optimization techniques and toolingUnderstand pre-built and turnkey AI solution offerings from GoogleBuild and deploy custom ML models for real-world applicationsExplore the latest generative AI tools within Vertex AIWho this book is for: If you are a machine learning practitioner who wants to learn end-to-end ML solution development on Google Cloud Platform using MLOps best practices and tools offered by Google Vertex AI, this is the book for you.
Comptia Security＋ Certification Kit
Everything you need to prepare for and take the Security+ exam! The CompTIA Security+ Certification Kit includes CompTIA Security+ Study Guide: Exam SY0-701, 9th Edition, and the CompTIA Security+ Practice Tests: Exam SY0-701, 3rd Edition. Together, both books provide comprehensive review for the CompTIA Security+ SY0-701 certification exam. The Kit covers: Assessing the security posture of an enterprise environment, and recommending and implementing appropriate security solutions Monitoring and securing hybrid environments, including cloud, mobile, and IoT Operating with an awareness of applicable laws and policies, including principles of governance, risk, and compliance Identifying, analyzing, and responding to security events and incidents The Study Guide has been completely revised to align with the latest version of the exam objectives. The Practice Tests includes hundreds of domain-by-domain questions plus practice exams to test your knowledge of the topics. Receive one year of FREE access after activation to the Sybex online interactive learning environment, to help you prepare with superior study tools, hundreds of practice questions, and flashcards that allow you to gauge your readiness and avoid surprises on exam day. And save 10% when you purchase your CompTIA exam voucher with our exclusive WILEY10 coupon code.
Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition
This book constitutes the First Segmentation of the Aorta Challenge, SEG.A. 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, on October 8, 2023. The 8 full and 3 short papers presented have been carefully reviewed and selected for inclusion in the book. They focus specifically on robustness, visual quality and meshing of automatically generated segmentations of aortic vessel trees from CT imaging. The challenge was organized as a "container submission" challenge, where participants had to upload their algorithms to Grand Challenge in the form of Docker containers. Three tasks were created for SEG.A. 2023.
Optimization, Learning Algorithms and Applications
This two-volume set CCIS 1981 and 1982 constitutes the refereed post-conference proceedings of the Third International Conference on Optimization, Learning Algorithms and Applications, OL2A 2023, held in Ponta Delgada, Portugal, in September 2023.The 66 revised full papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The papers are organized in the following topical sections: Volume I: Machine learning; learning algorithms in engineering education; machine learning and data analysis in internet of things; optimization; optimization in the SDG context.Volume II: Computer vision based on learning algorithms; machine learning and AI in robotics; optimization in control systems design.
Recent Trends in Image Processing and Pattern Recognition
This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota.The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections: Volume I: Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications. Volume II: Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.
Optimization, Learning Algorithms and Applications
This two-volume set CCIS 1981 and 1982 constitutes the refereed post-conference proceedings of the Third International Conference on Optimization, Learning Algorithms and Applications, OL2A 2023, held in Ponta Delgada, Portugal, in September 2023.The 66 revised full papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The papers are organized in the following topical sections: Volume I: Machine learning; learning algorithms in engineering education; machine learning and data analysis in internet of things; optimization; optimization in the SDG context.Volume II: Computer vision based on learning algorithms; machine learning and AI in robotics; optimization in control systems design.
Computer-Human Interaction Research and Applications
These 2 volumes constitute the selected papers of the 7th International Conference, CHIRA 2023, held Rome, Italy, during November 16-17, 2023.The 14 full papers and the 29 short papers presented in these books were carefully reviewed and selected from 69 submissions. The papers selected contribute to the advancement of research and practical applications of human-technology and human-computer interaction. Different aspects of Computer-Human Interaction were covered in four parallel tracks: human factors for interactive systems, research, and applications; interactive devices; interaction design; and adaptive and intelligent systems.
Computer-Human Interaction Research and Applications
These 2 volumes constitute the selected papers of the 7th International Conference, CHIRA 2023, held Rome, Italy, during November 16-17, 2023.The 14 full papers and the 29 short papers presented in these books were carefully reviewed and selected from 69 submissions. The papers selected contribute to the advancement of research and practical applications of human-technology and human-computer interaction. Different aspects of Computer-Human Interaction were covered in four parallel tracks: human factors for interactive systems, research, and applications; interactive devices; interaction design; and adaptive and intelligent systems.
Visualization of Time-Oriented Data
This is an open access book.Time is an exceptional dimension with high relevance in medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data via visual representations enables us to learn from the past in order to predict, plan, and build the future. This second edition builds upon the great success of the first edition. It maintains a brief introduction to visualization and a review of historical time-oriented visual representations. At its core, the book develops a systematic view of the visualization of time-oriented data. Separate chapters discuss interaction techniques and computational methods for supporting the visual data analysis. Many examples and figures illustrate the introduced concepts and techniques. So, what is new for the second edition? First of all, the second edition is now published as an open-access book so that anyone interested in the visualization of time and time-oriented data can read it. Second, the entire content has been revised and expanded to represent state-of-the-art knowledge. The chapter on interaction support now includes advanced methods for interacting with visual representations of time-oriented data. The second edition also covers the topics of data quality as well as segmentation and labeling. The comprehensive survey of classic and contemporary visualization techniques now provides more than 150 self-contained descriptions accompanied by illustrations and corresponding references. A completely new chapter describes how the structured survey can be used for the guided selection of suitable visualization techniques. For the second edition, our TimeViz Browser, the digital pendant to the survey of visualization techniques, received a major upgrade. It includes the same set of techniques as the book, but comes with additional filter and search facilities allowing scientists and practitioners to find exactly the solutions they are interested in.
Developing Kaggle Notebooks
Develop an array of effective strategies and blueprints to approach any new data analysis on the Kaggle platform and create Notebooks with substance, style and impactLeverage the power of Generative AI with Kaggle ModelsPurchase of the print or Kindle book includes a free PDF eBookKey Features: Master the basics of data ingestion, cleaning, exploration, and prepare to build baseline modelsWork robustly with any type, modality, and size of data, be it tabular, text, image, video, or soundImprove the style and readability of your Notebooks, making them more impactful and compellingBook Description: Developing Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this field and rise to the top in the Kaggle Notebooks tier. The book is structured as a seven-step data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques.For each topic, we provide one or more Notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature introduced progressively, initially as part of a Notebook, and later extracted for use across future Notebooks to enhance code reusability on Kaggle. It aims to make the Notebooks' code more structured, easy to maintain, and readable.Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualification to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refine your model and prepare for a submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.What You Will Learn: Approach a dataset or competition to perform data analysis via a notebookLearn data ingestion and address issues arising with the ingested dataStructure your code using reusable componentsAnalyze in-depth both small and large datasets of various typesDistinguish yourself from the crowd with the content of your analysisEnhance your notebook style with a color scheme and other visual effectsCaptivate your audience with data and compelling storytelling techniquesWho this book is for: This book is suitable for a wide audience with a keen interest in data science and machine learning, looking to use Kaggle Notebooks to improve their skills and rise in the Kaggle Notebooks ranks. This book caters to: Beginners on Kaggle from any backgroundSeasoned contributors who want to build various skills like ingestion, preparation, exploration, and visualizationExpert contributors who want to learn from the Grandmasters to rise into the upper Kaggle rankingsProfessionals who already use Kaggle for learning and competing
Waic and Wbic with Python Stan
Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. The book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in Python and Stan. Whether you're a data scientist looking to refine your model selection process or a researcher who wants to explore the latest developments in Bayesian statistics, this accessible guide will give you a firm grasp of Watanabe Bayesian Theory.The key features of this indispensable book include: A clear and self-contained writing style, ensuring ease of understanding for readers at various levels of expertise.100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension.A comprehensive guide to Sumio Watanabe's groundbreaking Bayes theory, demystifying a subject once considered too challenging even for seasoned statisticians.Detailed source programs and Stan codes that will enhance readers' grasp of the mathematical concepts presented.A streamlined approach to algebraic geometry topics in Chapter 6, making Bayes theory more accessible and less daunting.Embark on your machine learning and data science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!
Designing and Prototyping Interfaces with Figma - Second Edition
Explore the latest Figma features with this newly updated 2nd edition, including Variables and Conditional Prototyping. Learn cutting-edge design principles and create captivating interfaces with this full-color guide.Key FeaturesExplore Figma's latest features, including Variables and Conditional Prototyping, to create dynamic and responsive interfacesIntegrate AI capabilities and optimize your workflow with the latest Figma pluginsCreate engaging, interactive prototypes that captivate your users and stakeholdersPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAre you a UI/UX designer eager to learn the art of creating compelling interfaces using Figma? Look no further! The highly anticipated new edition is here to transform your creative journey.Explore Figma's latest features and delve into the power of variables and conditional Prototyping. Get ready to transform your static designs into dynamic, interactive prototypes, offering users and stakeholders an immersive experience. Stay at the forefront of design innovation with insights into integrating AI capabilities and optimizing your workflow with the latest Figma plugins. With user-centric design at its core, this book guides you through mastering design thinking, enabling you to tackle complex design challenges with ease. One unique aspect of this edition is its focus on effective communication. Learn how to convey your design vision clearly to both technical and non-technical audiences. In the rapidly changing world of UI/UX design, iteration is key. This book will teach you how to gather user feedback and iterate on your designs by creating interactive prototypes.Whether you're new to Figma or a seasoned pro, this comprehensive guide equips you with the skills to create captivating interfaces, fosters creativity and problem-solving, and makes you an indispensable, forward-thinking designer.What you will learnCreate high-quality designs that cater to your users' needs, providing an outstanding experienceMastering mobile-first design and responsive design conceptsIntegrate AI capabilities into your design workflow to boost productivity and explore design innovationCraft immersive prototypes with conditional prototyping and variablesCommunicate effectively to technical and non-technical audiencesDevelop creative solutions for complex design challengesGather and apply user feedback through interactive prototypesWho this book is forThis book is for aspiring UX/UI designers who want to get started with Figma as well as established designers who want to migrate to Figma from other design tools. This guide will provide you a walkthrough of the entire process of creating a full-fledged prototype for a responsive interface using all the tools and features that Figma has to offer. As a result, this book is suitable for both UX and UI designers, product and graphic designers, as well as anyone who wants to explore the complete design process from scratch.Table of ContentsExploring Figma and Transitioning from Other ToolsStructuring Moodboards, Personas, and User Flows within FigJamGetting to Know Your Design EnvironmentWireframing a Mobile-First Experience Using Vector ShapesDesigning Consistently Using Grids, Colors, and TypographyCreating a Responsive Mobile Interface Using Auto LayoutBuilding Components and Variants in a Collaborative WorkspaceUser Interface Design on Tablet, Desktop, and the WebPrototyping with Transitions, Smart Animate, and Interactive Components(N.B. Please use the Look Inside option to see further chapters)
Inductive Logic Programming
This book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 13-15, 2023.The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.
Introduction to Digital Humanism
This open access textbook introduces and defines digital humanism from a diverse range of disciplines. Following the 2019 Vienna Manifesto, the book calls for a digital humanism that describes, analyzes, and, most importantly, influences the complex interplay of technology and humankind, for a better society and life, fully respecting universal human rights. The book is organized in three parts: Part I "Background" provides the multidisciplinary background needed to understand digital humanism in its philosophical, cultural, technological, historical, social, and economic dimensions. The goal is to present the necessary knowledge upon which an effective interdisciplinary discourse on digital humanism can be founded. Part II "Digital Humanism - a System's View" focuses on an in-depth presentation and discussion of the main digital humanism concerns arising in current digital systems. The goal of this part is to make readers aware and sensitive to these issues, including e.g. the control and autonomy of AI systems, privacy and security, and the role of governance. Part III "Critical and Societal Issues of Digital Systems" delves into critical societal issues raised by advances of digital technologies. While the public debate in the past has often focused on them separately, especially when they became visible through sensational events the aim here is to shed light on the entire landscape and show their interconnected relationships. This includes issues such as AI and ethics, fairness and bias, privacy and surveillance, platform power and democracy. This textbook is intended for students, teachers, and policy makers interested in digital humanism. It is designed for stand-alone and for complementary courses in computer science, or curricula in science, engineering, humanities and social sciences. Each chapter includes questions for students and an annotated reading list to dive deeper into the associated chapter material. The book aims to provide readers with as wide an exposure as possible to digital advances and their consequences for humanity. It includes constructive ideas and approaches that seek to ensure that our collective digital future is determined through human agency.
Introduction to Digital Humanism
This open access textbook introduces and defines digital humanism from a diverse range of disciplines. Following the 2019 Vienna Manifesto, the book calls for a digital humanism that describes, analyzes, and, most importantly, influences the complex interplay of technology and humankind, for a better society and life, fully respecting universal human rights. The book is organized in three parts: Part I "Background" provides the multidisciplinary background needed to understand digital humanism in its philosophical, cultural, technological, historical, social, and economic dimensions. The goal is to present the necessary knowledge upon which an effective interdisciplinary discourse on digital humanism can be founded. Part II "Digital Humanism - a System's View" focuses on an in-depth presentation and discussion of the main digital humanism concerns arising in current digital systems. The goal of this part is to make readers aware and sensitive to these issues, including e.g. the control and autonomy of AI systems, privacy and security, and the role of governance. Part III "Critical and Societal Issues of Digital Systems" delves into critical societal issues raised by advances of digital technologies. While the public debate in the past has often focused on them separately, especially when they became visible through sensational events the aim here is to shed light on the entire landscape and show their interconnected relationships. This includes issues such as AI and ethics, fairness and bias, privacy and surveillance, platform power and democracy. This textbook is intended for students, teachers, and policy makers interested in digital humanism. It is designed for stand-alone and for complementary courses in computer science, or curricula in science, engineering, humanities and social sciences. Each chapter includes questions for students and an annotated reading list to dive deeper into the associated chapter material. The book aims to provide readers with as wide an exposure as possible to digital advances and their consequences for humanity. It includes constructive ideas and approaches that seek to ensure that our collective digital future is determined through human agency.
Reinforcement Learning for Reconfigurable Intelligent Surfaces
This book presents the intersection of two dynamic fields: Reinforcement Learning (RL) and RIS- Assisted Wireless Communications. With an emphasis on both discrete and continuous problems, it introduces a comprehensive overview of RL techniques and their applications in the evolving world of RIS-assisted wireless communications. Chapter 1 introduces the fundamentals of RL and deep RL (DRL), providing a solid foundation for understanding subsequent chapters. It also presents the Q-learning, deep Q-learning, and deep deterministic policy gradient algorithms. Chapter 2 provides a holistic overview of RIS-assisted systems and details several use cases in wireless communications. Then, Chapters 3 and 4 present various applications of the discrete and continuous DRL to RIS-assisted wireless communications. From maximizing the sum-rate to minimizing, the system resources and maximizing the energy efficiency. These chapters showcase the versatility of the DRL algorithms in tackling arange of challenges. This book concludes with Chapter 5, which introduces the challenges and future directions in this field. It explores the particulars of hyperparameter tuning, problem design, and complexity analysis, while also highlighting the potential of hybrid DRL, multi-agent DRL, and transfer learning techniques for advancing wireless communication systems. Optimizing RIS-Assisted Wireless Systems requires powerful algorithms to cope with the dynamic propagation environment. DRL is envisioned as one of the key enabling techniques to exploit the full potential of RIS-Assisted Wireless Communication Systems. It empowers these systems to intelligently adapt to dynamic wireless environments, maximize performance metrics, and adjusts their configurations to accommodate diverse use cases efficiently. This book serves as a valuable resource, shedding light on the potential of DRL to optimize RIS-Assisted Wireless Communication, enabling researchers, engineers, advanced level students in computer science and electrical engineering and enthusiasts to grasp the intricacies of this topic. It offers a comprehensive understanding of the principles, applications, and challenges, making it a reference to recognize the full potential of the RIS technology in modern wireless communication systems.
Manifold Learning
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understanding and implement reduced order models by using: physics-based models, synthetic data forecast by these models, experimental data and deep learning algorithms. The book involves a survey of key methods of model order reduction applied to model-based engineering and digital twining, by learning linear or nonlinear latent spaces.Projection-based reduced order models are the projection of mechanical equations on a latent space that have been learnt from both synthetic data and experimental data. Various descriptions and representations of structured data for model reduction are presented in the applications and survey chapters. Image-based digital twins are developed in a reduced setting. Reduced order models of as-manufactured components predict the mechanical effects of shape variations. A similar workflow is extended to multiphysics or coupled problems, with high dimensional input fields. Practical techniques are proposed for data augmentation and also for hyper-reduction, which is a key point to speed up projection-based model order reduction of finite element models. The book gives access to python libraries available on gitlab.com, which have been developed as part of the research program [FUI-25] MORDICUS funded by the French government. Similarly to deep learning for computer vision, deep learning for model order reduction circumvents the need to design parametric problems prior reducing models. Such an approach is highly relevant for image-base modelling or multiphysics modelling.
Microsoft 365 Administrator MS-102 Exam Guide
A comprehensive MS-102 exam guide offering practical insights, from provisioning Microsoft 365 to mastering Defender components, ensuring not just exam success but true expertisePurchase of the book unlocks access to web-based exam prep resources like mock exams, flashcards, exam tips, and a free eBook PDF.Key Features: Navigate exam topics easily with well-structured and informative contentAccess online practice tools to enhance exam readinessBoost exam confidence through expert tips and real-world insightsPurchase of the book unlocks access to web-based exam prep resources like mock exams, flashcards, exam tips, and a free eBook PDFBook Description: The MS-102: Microsoft 365 Administrator Exam Guide is meticulously crafted to empower readers with practical insights, starting with the essentials of provisioning a Microsoft 365 tenant, configuring identity synchronization and secure access, and deploying key Microsoft 365 Defender components.The book's purpose is clear-to guide professionals through the complexities of the MS-102 exam, ensuring not just exam success but mastery of the subject matter. This comprehensive exam guide comes with lifetime access to supplementary resources on an online platform, including flashcards, mock exams, and exam tips from experts. With unlimited access to the website, you'll have the flexibility to practice as many times as you desire, maximizing your exam readiness.As you progress through each chapter, the book unveils the layers of Microsoft 365 workloads, equipping you with the skills to manage role-based administration, deploy identity synchronization using Entra ID Connect, implement modern authentication methods, manage secure access through Conditional Access policies, and analyze security threats using Microsoft 365 Defender.By the end of this book, you'll have the proficiency to implement data loss prevention, configure information and data protection features, and approach the MS-102 exam with confidence.What You Will Learn: Implement and manage Microsoft 365 tenantsAdminister users, groups, and contacts in Entra IDConfigure and manage roles across Microsoft 365 servicesTroubleshoot identity synchronization issuesDeploy modern authentication methods to enhance securityAnalyze and respond to security incidents using Microsoft 365 DefenderImplement retention policies and sensitivity labelsEstablish data loss prevention for enhanced information protectionWho this book is for: If you're looking to validate your skills in planning, deploying, and managing Microsoft 365 identity and security workloads, this book is for you. Ideal for IT professionals seeking the MS-102 certification, this book ensures success with clear guidance, practical insights, and hands-on exercises. Although not a pre-requisite, prior knowledge of configuring DNS records, experience of administering a Microsoft 365 tenant, and a high-level understanding of information protection concepts will be beneficial.
Critical Theory of AI
We live in an age of artificial intelligence. Machines think and act in ever more complex ways, making suggestions and decisions on our behalf. While AI might be seen as practical and profitable, issues of data surveillance, algorithmic control, and sexist and racist bias persist. In this rapidly changing landscape, social analysis of AI risks getting scaled down to issues of 'ethics', 'responsibility', and 'fairness'. While these are important issues, they must be addressed not from an 'AI first' perspective, but more thoroughly in terms of power and contention. Approaching artificial intelligence from the often overlooked perspective of critical social theory, this book provides a much-needed intervention on how both old and new theories conceptualize the social consequences of AI. Questions are posed about the ideologies driving AI, the mythologies surrounding AI, and the complex relationship between AI and power. Simon Lindgren provides a way of defining AI as an object of social and political critique, and guides the reader through a set of contentious areas where AI and politics intersect. In relation to these topics, critical theories are drawn upon, both as an argument for and an illustration of how AI can be critiqued. Given the opportunities and challenges of AI, this book is a must-read for students and scholars in the humanities, social sciences, and STEM disciplines.
How the Body Shapes the Way We Think
An exploration of embodied intelligence and its implications points toward a theory of intelligence in general; with case studies of intelligent systems in ubiquitous computing, business and management, human memory, and robotics.How could the body influence our thinking when it seems obvious that the brain controls the body? In How the Body Shapes the Way We Think, Rolf Pfeifer and Josh Bongard demonstrate that thought is not independent of the body but is tightly constrained, and at the same time enabled, by it. They argue that the kinds of thoughts we are capable of have their foundation in our embodiment--in our morphology and the material properties of our bodies.This crucial notion of embodiment underlies fundamental changes in the field of artificial intelligence over the past two decades, and Pfeifer and Bongard use the basic methodology of artificial intelligence--"understanding by building"--to describe their insights. If we understand how to design and build intelligent systems, they reason, we will better understand intelligence in general. In accessible, nontechnical language, and using many examples, they introduce the basic concepts by building on recent developments in robotics, biology, neuroscience, and psychology to outline a possible theory of intelligence. They illustrate applications of such a theory in ubiquitous computing, business and management, and the psychology of human memory. Embodied intelligence, as described by Pfeifer and Bongard, has important implications for our understanding of both natural and artificial intelligence.
Computational Intelligence and Network Systems
This book constitutes the proceedings of the First International Conference, CINS 2023, held in Dubai, United Arab Emirates, from October 18 to 20, 2023.The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, and the application of these intelligent techniques. The book also addresses several topics pertaining to networks, including security, network data processing, networks that transcend boundaries, device heterogeneity, and advancements in networks connected to the Internet of Things, software-defined networks, cloud computing, and intelligent networks.
Generative Ai: The Insights You Need from Harvard Business Review
The future of AI is here.The world is transfixed by the marvel (and possible menace) of ChatGPT and other generative AI tools. It's clear Gen AI will transform the business landscape, but when and how much remain to be seen. Meanwhile, your smartest competitors are already navigating the risks and reaping the rewards of these new technologies. They're experimenting with new business models around generating text, images, and code at astonishing speed. They're automating customer interactions in ways never before possible. And they're augmenting human creativity in order to innovate faster. How can you take advantage of generative AI and avoid having your business disrupted?Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.
Architecting AWS with Terraform
Accelerate your business growth by employing Terraform for AWS projects with this comprehensive guide packed with practical implementation tips for start-ups, enterprises, and personal projectsKey Features: Learn Terraform on AWS from 12x AWS certified trainerImprove reusability and governance for large-scale Terraform projectsUse infrastructure as code practices to fully automate AWS workloadsPurchase of the print or Kindle book includes a free PDF eBookBook Description: Infrastructure as code (IaC) and Terraform have become essential tools for managing cloud infrastructure and automating deployment processes. Mastering Terraform on AWS presents a step-by-step approach on how to master these tools and build a secure and scalable AWS infrastructure.The book starts with an introduction to patterns and anti-patterns of IaC and Terraform, explaining the common mistakes and pitfalls you must avoid. You'll then learn about the importance of planning and designing infrastructure projects in AWS and making informed decisions for projects in AWS Terraform. You'll find out how to implement Terraform in your projects and deploy serverless projects. Next, you'll be able to deploy containers in AWS with Terraform, exploring the best practices for Terraform IaC projects. You'll understand how you can leverage Terraform for enterprises, build Git workflows for IaC and Terraform projects, and automate deployment of Terraform projects. The last set of chapters will teach you how to govern AWS with Terraform and build a secure infrastructure. Finally, you'll discover how to achieve a perfect AWS infrastructure with Terraform.By the end of this book, you'll have gained a comprehensive understanding of the various aspects of Terraform and IaC, along with the knowledge required to build, manage, and deploy complex infrastructures on AWS.What You Will Learn: Get to grips with Terraform frameworks and best practicesUse Terraform providers and modulesDevelop your first AWS resource in TerraformBuild an infrastructure project with TerraformGovern an infrastructure project in TerraformDeploy Terraform projects to AWS with CI/CDWho this book is for: This book is for cloud and DevOps engineers, developers, and architects responsible for writing or designing infrastructure as code to deploy resources in AWS. You are expected to have a basic understanding of AWS and should have experience deploying resources through the user interface (UI).
Observability with Grafana
Implement the LGTM stack for cost-effective, faster, and secure delivery and management of applications to provide effective infrastructure solutionsKey FeaturesUse personas to better understand the needs and challenges of observability tools usersGet hands-on practice with Grafana and the LGTM stack through real-world examplesImplement and integrate LGTM with AWS, Azure, GCP, Kubernetes and tools such as OpenTelemetry, Ansible, Terraform, and HelmPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionTo overcome application monitoring and observability challenges, Grafana Labs offers a modern, highly scalable, cost-effective Loki, Grafana, Tempo, and Mimir (LGTM) stack along with Prometheus for the collection, visualization, and storage of telemetry data. Beginning with an overview of observability concepts, this book teaches you how to instrument code and monitor systems in practice using standard protocols and Grafana libraries. As you progress, you'll create a free Grafana cloud instance and deploy a demo application to a Kubernetes cluster to delve into the implementation of the LGTM stack. You'll learn how to connect Grafana Cloud to AWS, GCP, and Azure to collect infrastructure data, build interactive dashboards, make use of service level indicators and objectives to produce great alerts, and leverage the AI & ML capabilities to keep your systems healthy. You'll also explore real user monitoring with Faro and performance monitoring with Pyroscope and k6. Advanced concepts like architecting a Grafana installation, using automation and infrastructure as code tools for DevOps processes, troubleshooting strategies, and best practices to avoid common pitfalls will also be covered. After reading this book, you'll be able to use the Grafana stack to deliver amazing operational results for the systems your organization uses.What you will learnUnderstand fundamentals of observability, logs, metrics, and distributed tracesFind out how to instrument an application using Grafana and OpenTelemetryCollect data and monitor cloud, Linux, and Kubernetes platformsBuild queries and visualizations using LogQL, PromQL, and TraceQLManage incidents and alerts using AI-powered incident managementDeploy and monitor CI/CD pipelines to automatically validate the desired resultsTake control of observability costs with powerful in-built featuresArchitect and manage an observability platform using GrafanaWho this book is forIf you're an application developer, a DevOps engineer, a SRE, platform engineer, or a cloud engineer concerned with Day 2+ systems operations, then this book is for you. Product owners and technical leaders wanting to gain visibility of their products in a standardized, easy to implement way will also benefit from this book. A basic understanding of computer systems, cloud computing, cloud platforms, DevOps processes, Docker or Podman, Kubernetes, cloud native, and similar concepts will be useful.Table of ContentsIntroducing Observability and the Grafana StackInstrumenting Applications and InfrastructureSetting Up a Learning Environment with Demo ApplicationsLooking at Logs with Grafana Loki Monitoring with Metrics using Grafana Mimir and PrometheusTracing Technicalities with Grafana TempoInterrogating Infrastructure with Kubernetes, AWS, GCP, and AzureDisplaying Data with DashboardsManaging Incidents using AlertsAutomation with Infrastructure as CodeArchitecting an Observability Platform(N.B. Please use the Look Inside option to see further chapters)
The Cloud Computing Journey
Elevate your expertise and gain holistic insights into cloud technology with a focus on smooth transition from on-premises to the cloudKey Features: Analyze cloud architecture in depth, including different layers, components, and design principlesExplore various types of cloud services from AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, and moreImplement best practices and understand the use of various cloud deployment toolsPurchase of the print or Kindle book includes a free PDF eBookBook Description: As the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies.This comprehensive cloud computing guide offers expertise and best practices for evaluating different cloud vendors and tools. Once you've gained a thorough understanding of cloud computing basics, you'll delve deeper into cloud architecture, its design, and implementation. Armed with this expert insight, businesses can avoid costly mistakes, ensure that their cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business.By the end of this book, you'll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.What You Will Learn: Get to grips with the core concepts of cloud architecture and cost optimizationUnderstand the different cloud deployment and service modelsExplore various cloud-related tools and technologiesDiscover cloud migration strategies and best practicesFind out who the major cloud vendors are and what they offerAnalyze the impact and future of cloud technologyWho this book is for: The book is for anyone interested in understanding cloud technology, including business leaders and IT professionals seeking insights into the benefits, challenges, and best practices of cloud computing. Those who are just starting to explore cloud technology, as well as those who are already using cloud technology but want to deepen their understanding and optimize usage will find this resource especially useful.
Generative AI For Business Leaders
2024 Edition. Business leaders must understand how to effectively leverage Generative AI within their companies in order to remain competitive. This book collection offers a fresh, timely viewpoint on this critical topic. Readers will gain foundational knowledge about AI and Generative algorithms while exploring both the potential benefits, risks and ethics involved. Guidance is provided on enhancing an organization's offerings, operating model and strategic direction while mitigating biases and negative consequences.The book collection lays out a comprehensive approach for businesses to successfully adopt and integrate Generative AI technologies. Common errors and challenges that companies face in this relatively new domain are highlighted, along with proven tactics to overcome them and achieve strong results.A comprehensive playbook to unlock the commercial potential of generative AI for managers, directors, executives, governance specialists, and any professionals interested in the intersection of business and emerging technologies.Book: Generative AI Transformation BlueprintDrawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined.Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap.Book: Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and HypeFinalist for the 2023 HARVEY CHUTE Book Awards recognizing emerging talent and outstanding works in the genre of Business and Enterprise Non-Fiction.Explore the transformative potential of technologies like GPT-4 and Claude 2. These large language models (LLMs) promise to reshape how businesses operate. Aimed at non-technical business leaders, this guide offers a pragmatic approach to leveraging LLMs for tangible benefits, while ensuring ethical considerations aren't sidelined.LLMs can refine processes in marketing, software development, HR, R&D, customer service, and even legal operations. But it's essential to approach them with a balanced view. In this guide, you'll: Learn about the rapid advancements of LLMs.Understand complex concepts in simple terms.Discover practical business applications.Get strategies for smooth integration.Assess potential impacts on your team.Delve into the ethics of deploying LLMs.Book: Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AIThe perfect guide to help non-technical business leaders understand the power of AI: Machine Learning, Neural Networks, and Data Management. Up to date with Generative AI.More Than a Book CollectionBy purchasing this series, you will also be granted free access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion.You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion.
Human-Technology Interaction
Digitalization and automation are leading to fundamental changes in the industrial landscape. In the German-speaking countries, this development is often summarized under the term Industry 4.0. Simultaneously, interaction technologies have made huge developments in the last decades. The use of mobile devices and touch screens is ubiquitous, augmented and virtual reality technologies have made their way into the market and new interaction concepts have become established. While new interaction technologies offer new possibilities for organizing or executing work in the context of Industry 4.0, the transformation of industrial processes also creates a need for new work practices. This book sheds light on the interplay of Industry 4.0 and new interaction technologies. It presents selected research articles on the topic of Human-Technology Interaction in the context of Industry 4.0. Researchers from various disciplines present the current state of research with regard to futureinteractions with production environments to develop a common vision of how to design future interactions in the industrial domain. In this context, various topics are covered: a detailed overview on assistive systems for supporting manual work is given, including technological and design aspects as well as implementation strategies. Industrial use-cases for extended reality (XR) technologies such as augmented and virtual reality (AR and VR) are presented, also covering aspects of how to author content in XR environments. The role of new work practices is examined, for example, by presenting concepts of gamification and human-machine teamwork for supporting well-being. Finally, topics of trust and technology acceptance are discussed in the context of Industry 4.0. Given this broad perspective, a vision is sketched of how to design future human-technology interactions in a way that realizes their full technical and human potential.
Fraud Investigators
For many years, I went by the name Antoni Muldoon and worked as a professional con artist. I must have stolen more than 瞿100 million from diligent individuals overall. I lost nearly everything I had accumulated when I was inevitably discovered for my crimes and sent to prison. One thing I kept was my awareness of the various con games that con people out of their money on a regular basis. I made the decision to utilise my knowledge to help others avoid falling for the same kinds of scams that I used to run. I'm calling this series of books on various scams the Scam Busters Series, and this one is the first in the series. Every book will walk you through a distinct fraud, so regardless of whether you have been duped This is the first book in the series, and perhaps you will enjoy it and find it helpful if you have ever fallen into the timeshare trap or are about to fall into it.In the inaugural installment of the Scam Busters series, Antoni Muldoon shares his insider knowledge of timeshare frauds. He makes note of what to watch out for and what not to do. This will come in handy should you ever fall victim to a timeshare scam.
How Robots Influence Social Change
This book concerns to be given my opinions to explain how artificial intelligent technology will impact our life and will influence economic development in the future as well as how to influence human job market change. In labor market part, I shall indicate how artificial intelligence technology influences future macro global economy change. Advances in artificial intelligence (AI) technology is for the progress in critical areas, such as health, education, energy, economy inclusion, social welfare and the environment. Thus, it brings this question: Which (AI) workers be instead of traditional human workers in these different new markets? In recent years, machines had been used to be human's tasks in the performance of certain tasks related to intelligence, such as aspects of image recognition. Experts also forecast that rapid progress in the field of specialized artificial intelligence will continue. Then, it also brings this question: Does (AI) exceed that of human performance on more and more tasks? If it is truth, will some of human jobs to be disappeared? (AI) will be instead of human some simple jobs, then unemployment rate to the low skillful and low educated workers will be increased.
How Robots Influence Social Change
This book concerns to be given my opinions to explain how artificial intelligent technology will impact our life and will influence economic development in the future as well as how to influence human job market change. In labor market part, I shall indicate how artificial intelligence technology influences future macro global economy change. Advances in artificial intelligence (AI) technology is for the progress in critical areas, such as health, education, energy, economy inclusion, social welfare and the environment. Thus, it brings this question: Which (AI) workers be instead of traditional human workers in these different new markets? In recent years, machines had been used to be human's tasks in the performance of certain tasks related to intelligence, such as aspects of image recognition. Experts also forecast that rapid progress in the field of specialized artificial intelligence will continue. Then, it also brings this question: Does (AI) exceed that of human performance on more and more tasks? If it is truth, will some of human jobs to be disappeared? (AI) will be instead of human some simple jobs, then unemployment rate to the low skillful and low educated workers will be increased.
Modern DevOps Practices - Second Edition
Enhance DevOps workflows by integrating the functionalities of Git, Docker, Kubernetes, Argo CD, Ansible, Terraform, Istio, and more with the help of practical examples and expert tipsKey FeaturesExplore containers as a service (CaaS) and infrastructure automation in the public cloudSecure and ship software continuously to production with DevOps, GitOps, SecOps, and automationOperate distributed and scalable microservices apps in the cloud with a modern service meshPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey.The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you'll explore the core elements of cloud integration-AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery-GitHub actions, Jenkins, and Argo CD-to help you understand the essence of modern app delivery. Later, you'll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you'll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more.By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.What you will learnExplore modern DevOps practices with Git and GitOpsMaster container fundamentals with Docker and KubernetesBecome well versed in AWS ECS, Google Cloud Run, and KnativeDiscover how to efficiently build and manage secure Docker imagesUnderstand continuous integration with Jenkins on Kubernetes and GitHub ActionsGet to grips with using Argo CD for continuous deployment and deliveryManage immutable infrastructure on the cloud with Packer, Terraform, and AnsibleOperate container applications in production using Istio and learn about AI in DevOpsWho this book is forIf you are a software engineer, system administrator, or operations engineer looking to step into the world of DevOps within public cloud platforms, this book is for you. Existing DevOps engineers will also find this book helpful as it covers best practices, tips, and tricks for implementing DevOps with a cloud-native mindset. Although no containerization experience is necessary, a basic understanding of the software development life cycle and delivery will help you get the most out of this book.Table of ContentsThe Modern way of DevOpsSource Code Management with Git and GitOpsContainerization with DockerCreating and Managing Container ImagesContainer Orchestration with KubernetesManaging Advanced Kubernetes ResourcesContainers as a Service (CaaS) and Serverless Computing for ContainersInfrastructure as Code (IaC) with TerraformConfiguration Management with AnsibleImmutable Infrastructure with PackerContinuous Integration with GitHub Actions and JenkinsContinuous Deployment/ Delivery with Argo CD(N.B. Please use the Look Inside option to see further chapters)
Progress in Artificial Intelligence
The two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023.The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies.
Progress in Artificial Intelligence
The two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023.The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent Systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies.
Artificial Intelligence Security and Privacy
This two-volume set LNCS 14509-14510, constitutes the refereed proceedings of the First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, held in Guangzhou, China, during December 3-5, 2023.The 40 regular papers and 23 workshop papers presented in this two-volume set were carefully reviewed and selected from 115 submissions. Topics of interest include, e.g., attacks and defence on AI systems; adversarial learning; privacy-preserving data mining; differential privacy; trustworthy AI; AI fairness; AI interpretability; cryptography for AI; security applications.
Internet of Things of Big Data for Healthcare
This book constitutes the 5th International Workshop, IoTBDH 2023, held in Birmingham, UK, during October 21-25, 2023.The 7 full papers and 4 short papers included in this volume were carefully reviewed and selected from 33 submissions. They focus on the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.
Artificial Intelligence Ethics and International Law - 2nd Edition
Dive into the dynamic realm of AI governance with this groundbreaking book. Offering cutting-edge insights, it explores the intricate intersection of artificial intelligence and international law. Readers gain invaluable perspectives on navigating the evolving AI landscape, understanding global legal dynamics, and delving into the nuances of responsible AI governance. Packed with pragmatic approaches, the book is an essential guide for professionals, policymakers, and scholars seeking a comprehensive understanding of the multifaceted challenges and opportunities presented by AI in the global legal arena. The book begins by examining the fundamental concepts of AI ethics and its recognition within international law. It then delves into the challenges of governing AI in a rapidly evolving technological landscape, highlighting the need for pragmatic and flexible approaches to AI regulation. Subsequent chapters explore the diverse perspectives on AI classification and recognition, from legal visibility frameworks to the ISAIL Classifications of Artificial Intelligence.
Artificial Intelligence and Human Evolution
This book explores, from a high level, the parallels between the evolution of humans and the evolution of machines. The book reviews practical questions about the future of AI but also engages in philosophical discussions about what machine intelligence could mean for the human experience.The book focuses on what is intelligence and what separates intelligent species from non-so-intelligent ones. It concludes this section with the description of true nature of humanintelligence can be. We discuss how we looked at machines few hundred years back and how their definition and the expectations from them has changed over time. We will consider when and how machines became intelligent and then explore in depth he latest developments in artificial intelligence with explanation of deep learning technology and humanlike chat interface provided with products like ChatGPT. We will define both human intelligence and artificial intelligence and the distinction between the two.In the third and final section of the book, we will focus on near- and longer-term futures with widespread use of machine intelligence, making the whole ambient environment that we will live in intelligent How is this going to change human lives, and what parts of human life will be encroached with machines and their intelligence? We will explore how the job market will look with some jobs being taken by machines, and if this is overall a positive or negative change. What You Will LearnHow human intelligence is connected with artificial intelligence as well as the differencesHow AI is going to change our lives in the coming years, decades and centuriesAn explanation of deep learning technology and humanlike chat interface provided with products like ChatGPTWho This Book is ForReaders looking to contextualize the evolution of artificial intelligence in human history
The Art of Reinforcement Learning
Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting-edge technology. Beginning with an overview of fundamental concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, and temporal difference learning, this book uses clear and concise examples to explain the basics of RL theory. The following section covers value function approximation, a critical technique in RL, and explores various policy approximations such as policy gradient methods and advanced algorithms like Proximal Policy Optimization (PPO). This book also delves into advanced topics, including distributed reinforcement learning, curiosity-driven exploration, and the famous AlphaZero algorithm, providing readers with a detailed account of these cutting-edge techniques. With a focus on explaining algorithms and the intuition behind them, The Art of Reinforcement Learning includes practical source code examples that you can use to implement RL algorithms. Upon completing this book, you will have a deep understanding of the concepts, mathematics, and algorithms behind reinforcement learning, making it an essential resource for AI practitioners, researchers, and students. What You Will Learn Grasp fundamental concepts and distinguishing features of reinforcement learning, including how it differs from other AI and non-interactive machine learning approachesModel problems as Markov decision processes, and how to evaluate and optimize policies using dynamic programming, Monte Carlo methods, and temporal difference learningUtilize techniques for approximating value functions and policies, including linear and nonlinear value function approximation and policy gradient methodsUnderstand the architecture and advantages of distributed reinforcement learningMaster the concept of curiosity-driven exploration and how it can be leveraged to improve reinforcement learning agentsExplore the AlphaZero algorithm and how it was able to beat professional Go players Who This Book Is For Machine learning engineers, data scientists, software engineers, and developers who want to incorporate reinforcement learning algorithms into their projects and applications.
Chatgpt for Beginners
If you're a complete newbie who's wondering exactly what ChatGPT is, what is does, and how it can be a valuable resource for non-coders, this is the book for you. With a comprehensive exploration of ChatGPT's features, foundations, and applications, this guide will serve as a valuable resource for beginners venturing into the world of conversational AI. ChatGPT for Beginners has four parts. Part one provides a step-by-step introduction to using ChatGPT, from accessing the OpenAI website and creating an account to starting conversations, changing responses, and getting conversation summaries. Part two delves into the foundations of the large language model that powers ChatGPT. It covers topics such as the definition of ChatGPT, its knowledge domains, the basics of natural language processing, machine learning techniques applied to language processing, and the role of neural networks in ChatGPT's operation. Part three covers a wide range of practical applications, from letter writing to business content creation, text translation, language learning, recruitment processes, artistic content creation, and fostering innovation and creativity. Part four examines the strengths and limitations of ChatGPT, addressing ethical considerations related to data security, bias, and partiality. It also delves into the future advancements and challenges that lie ahead for ChatGPT, providing insights into the developing landscape of conversational AI. After completing this book, you will be able to harness the full potential of ChatGPT. Whether you are a student, professional, or are just curious about the capabilities of this AI technology, this book will serve as your essential companion in unlocking the possibilities of ChatGPT. What You Will Learn Access ChatGPT, create an account, and initiate conversations Understand what ChatGPT is, its knowledge domains, and how it works through natural language processing, machine learning, and neural networks Ask relevant questions to ChatGPT, and obtain quality responses Manage the degree of randomness in the responses using parameters such as temperature, frequency, and presence Who This Book Is For Students, professionals, and anyone else curious about the capabilities of ChatGPT.
More Than a Chatbot
Recent technological advances have resulted in a new generation of powerful text processing and generation tools, that produce text very similar to what a human could do. Such tools have the potential to change the way we work, learn and teach - and this book enables you to understand and be part of this exciting development. Did you wonder how tools like ChatGPT or Bard work, but do not have a technical background? Then this is the right book for you! To discuss and better understand what such technologies are capable of and how this will impact our lives and our society, a basic background knowledge about text processing and generation technologies is required. In particular, the book discusses the following questions: How did the field of automated text processing and generation evolve over the last years, and what happened to allow the incredible recent advances? Are chatbots such as ChatGPT or Bard truly understanding humans? What pitfalls exist and how are stereotypesof the society reflected in such models? What is the potential of such technology, and how will the digital society of the future look like in terms of human-chatbot-collaboration? The book is aimed for a general audience, briefly explaining mathematical or technical background when necessary. After having read this book, you will be confident to participate in public discussions about how this new generation of language models will impact society. You will be aware of the risks and pitfalls these technologies can bring along, and how to deal responsibly when making use of tools built from AI technology in general.
Getting Started with Chatgpt and AI Chatbots
Learn how to use ChatGPT, Bing Chat / Copilot, and Gemini (Bard) to get the most out of these powerful tools. ChatGPT has become a tool hundreds of millions use every day - yet few have mastered the art of sweet-talking these new AI chatbots into providing detailed and accurate responses to user prompts. It's vital for every professional tech user to have an understanding of how AI chatbots work, and how best to put them to work. While the fear is that AI will take people's jobs, it is more likely to be someone using AI that will! Getting Started with ChatGPT and AI Chatbots explores the 'big three' AI chatbots - OpenAI ChatGPT, Microsoft / Windows Copilot and Google Gemini (Bard) - demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools. Whether you're a business user, a tech student, or a curious professional, this book is for you to understand and demystify Large Language Models (LLMs) and generative AI tools, harnessing them to enhance your role.
After Latour: Globalisation, Inequity and Climate Change
This book constitutes the refereed proceedings of the IFIP WG 8.2 and WG 9.4 Joint Working Conference on After Latour: Globalisation, Inequity and Climate Change, IFIPJWC 2023, held in Hyderabad, India, during December 7-8, 2023. The 15 full papers presented together with 13 short papers were carefully reviewed and selected from 60 submissions. They are organized in topical sections as follows: climate change and digital sustainability; ICT's and sustainable development; IS in the education sector; privacy, trust, and surveillance; theories and methods.
Procedural Content Generation Via Machine Learning
This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). Machine learning is having a major impact on many industries, including the video game industry. PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content. The authors illustrate how PCGML is poised to transform the video games industry and provide the first ever beginner-focused guide to PCGML. This book features an accessible introduction to machine learning topics, and readers will gain a broad understanding of currently employed PCGML approaches in academia and industry. The authors provide guidance on how best to set up a PCGML project and identify open problems appropriate for a research project or thesis. This book is written with machine learning and games novices in mind and includes discussions of practical and ethical considerations along with resources and guidance for starting a new PCGML project.
Machine Learning Methods
This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis. As a fundamental book on machine learning, it addresses the needs of researchers and students who apply machine learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into machine learning.
