Terraform for Google Cloud Essential Guide
Become an expert in Terraform on Google Cloud by using Infrastructure as Code for provisioning multiple yet consistent environments to increase productivity in no timeKey Features: Get up and running with Terraform on Google CloudLearn Terraform concepts using Google Cloud code examplesApply Terraform to deploy realistic multi-tiered architectures quickly and repeatedlyBook Description: Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud.This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you'll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you'll also be able to improve your Terraform workflow using Google Cloud native and third-party tools.By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely.What You Will Learn: Authenticate Terraform in Google Cloud using multiple methodsWrite efficient Terraform codeUse modules to share Terraform templatesManage multiple environments in Google CloudApply Terraform to deploy multi-tiered architecturesUse public modules to deploy complex architectures quicklyIntegrate Terraform into your Google Cloud environmentWho this book is for: This book is for Google Cloud architects and engineers who want to increase their productivity by using Terraform to automate the provisioning of Google Cloud deployments. A basic understanding of Google Cloud, such as the ability to provision resources using the Google Cloud console and using Cloud Shell, is assumed. Certification in Google Cloud is not required but helpful.
The Complete Works of Ralph Waldo Emerson
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging
This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022.EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topologyplays in machine learning and data science.
Mining Intelligence and Knowledge Exploration
This book constitutes revised selected papers from the refereed proceedings of the 9th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2021, which took place in Hammamet, Tunisia, in November 2021. The 22 full papers included in this book were carefully reviewed and selected from 61 submissions. They deal with topics such as evolutionary computation, knowledge exploration in IoT, artificial intelligence, machine learning, data mining and information retrieval, medical image analysis, pattern recognition and computer vision, speech / signal processing, text mining and natural language processing, intelligent security systems, Smart and Intelligent Systems, etc.
AI for Diversity
Artificial intelligence (AI) is increasingly impacting many aspects of people's lives across the globe, from relatively mundane technology to more advanced digital systems that can make their own decisions. While AI has great potential, it also holds great peril depending on how it is designed and used. AI for Diversity questions how AI technology can lead to inclusion or exclusion for diverse groups in society. The way data is selected, trained, used, and embedded into societies can have unfortunate consequences unless we critically investigate the dangers of systems left unchecked, and can lead to misogynistic, homophobic, racist, ageist, transphobic, or ableist outcomes. This book encourages the reader to take a step back to see how AI is impacting diverse groups of people and how diversity-awareness strategies can impact AI.
Scam!
Does this sound familiar?"This call is to inform you about an arrest warrant filed under your name. Please call us back at XXX-XXX-XXXX immediately to resolve this legal matter."If you receive a voicemail like this, your first instinct might be to call the phone number provided in the message, or press "1" while on the phone to connect with a legal officer.But if you do that, you'll walk right into a scam.Did you know some people earn their living by stealing from others?In 2021, American scam victims lost nearly $30 billion to phone scams, with an average loss of $502 per victim. (PC Mag)During the pandemic, UK scam victims lost 瞿73.9 million to romance scammers. (Which?)But scammers also target potential victims in Canada, Australia, and other countries through phone calls, emails, text messages, social media messages, and other means. SCAM! How to Avoid the Scams That Cost Victims Billions of Dollars Every Year is a short, no-nonsense guide that shows you what to watch out for to protect yourself from the 30+ most common types of scams circulating right now.In this book, you'll discover: 30+ common scams going around right now, including phishing, smishing, and PayPal scamsadditional resources to help you learn more about scams and learn how to report scamstips to help you protect yourself against scamsways to get scammers to leave you alone6 red flags to watch out for that will help you identify a scamwhat to do if you've already been scammedsample scam scripts and scam messages circulating right nowIf you want to learn more about the scams that cost people like you and me billions of dollars every year, as well as how to protect yourself from them, get your copy of SCAM! How to Avoid the Scams That Cost Victims Billions of Dollars Every Year today.
Machine Learning Approach to Detect Fraudulent Banking Transactions
Master's Thesis from the year 2022 in the subject Computer Sciences - Artificial Intelligence, grade: 3, University of Applied Sciences Berlin, course: Project management and Data Science, language: English, abstract: The study investigates whether a machine learning algorithm can be used to detect fraud attempts and how a fraud management system based on machine learning might work. For fraud detection, most institutions rely on rule-based systems with manual evaluation. Until recently, these systems had been performing admirably. However, as fraudsters become more sophisticated, traditional systems' outcomes are becoming inconsistent. Fraud usually comprises many methods that are used repeatedly that's why looking for patterns is a common emphasis for fraud detection. Data analysts can, for example, avoid insurance fraud by developing algorithms that recognize trends and abnormalities. AI techniques used to detect fraud include Data mining classifies, groups, and segments data to search through millions of transactions to find patterns and detect fraud. The scientific paper discusses machine learning methods to detect fraud detection with a case study and analysis of Kaggle datasets.
The implementation of artificial intelligence from an economic perspective and its social-ethic challenges
Seminar paper from the year 2022 in the subject Computer Sciences - Artificial Intelligence, grade: 1,3, Ingolstadt University of Applied Sciences, language: English, abstract: This paper deals with the implementation of artificial intelligence from an economic perspective and considers its social-ethic challenges. Can machines think? With these pioneering words, and the questioning in the so-called imitation game whether it enables machines to think autonomously, Alan M. Turing developed one of the first fundamental ideas of machine learning and its significance for the future as early as the 20th century. Machine learning (ML) or also known as Artificial Intelligence (AI) is now no longer a dystopia that was only initially considered, it has evolved and is a tangible reality and immeasurable in all aspects of life. Due to the fundamental paradigm shift, massively marked by the emergence of digitalization and Industry 4.0, artificial intelligence, which is being used almost across the board, will play a key role in the coming decades. The applicability of artificial intelligence and increasingly complex algorithms continues to shape our everyday lives, from smartphones and search engines to the financial and healthcare sectors. Beyond this, the use of machine learning has a major impact on the economy and its future, significant societal implications. AI is a highly topical issue because, despite promising technological progress, the use of AI is often controversial, especially with regard to whether the implementation of such technology is morally and ethnically acceptable and whether certain legal and normative boundaries are crossed. Therefore, the aim of this research paper is to analyze how far the implementation of artificial intelligence will continue to have a decisive impact on economic events and cause change. Irrespective of this, it is also important to analyze the social-ethnic effects of the use of AI.
Certified Information Security Manager Exam Prep Guide - Second Edition
Master information security fundamentals with comprehensive explanations of concepts.Purchase of the book unlocks access to web-based tools like practice questions, flashcards, and more to take your CISM prep to the next level.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesUse this comprehensive resource to prepare for ISACA's CISM certificationUnlock free online tools including interactive practice questions, exam tips, and flashcards to effectively prepare for the CISM examUnderstand the theory behind information security program development and managementBook DescriptionCISM is a globally recognized and much sought-after certification in the field of IT security. This second edition of the Certified Information Security Manager Exam Prep Guide is up to date with complete coverage of the exam content through comprehensive and exam-oriented explanations of core concepts. Written in a clear, succinct manner, this book covers all four domains of the CISM Review Manual.With this book, you'll unlock access to a powerful exam-prep platform which includes interactive practice questions, exam tips, and flashcards. The platform perfectly complements the book and even lets you bring your questions directly to the author.This mixed learning approach of exploring key concepts through the book and applying them to answer practice questions online is designed to help build your confidence in acing the CISM certification.By the end of this book, you'll have everything you need to succeed in your information security career and pass the CISM certification exam with this handy, on-the-job desktop reference guide.What you will learnUnderstand core exam objectives to prepare for the CISM exam with confidenceGet to grips with detailed procedural guidelines for effective information security incident managementExecute information security governance in an efficient mannerStrengthen your preparation for the CISM exam using interactive flashcards and practice questionsConceptualize complex topics through diagrams and examplesFind out how to integrate governance, risk management, and compliance functionsWho this book is forIf you're an IT professional, IT security officer, or risk management executive looking to upgrade your career by passing the CISM exam, this book is for you. Basic familiarity with information security concepts is required to make the most of this book.Table of ContentsEnterprise GovernanceInformation Security StrategyInformation Risk AssessmentInformation Risk ResponseInformation Security Program DevelopmentInformation Security Program ManagementInformation Security Infrastructure and ArchitectureInformation Security Monitoring Tools and TechniquesIncident Management ReadinessIncident Management Operations
Artificial Intelligence Driven Circuits and Systems
This book highlights selected papers presented at the 10th International Symposium on Embedded Computing and System Design (ISED) 2021. This symposium provides a platform for researchers to share the latest scientific achievements of embedded computing and system design. The book is divided into three broad sections. The first section discusses topics like VLSI and testing, circuits and systems with a focus on emerging technologies. The second section discusses topics like embedded hardware and software systems and novel applications. The final section discusses the state-of-the-art technologies involving IoT, artificial intelligence, green and edge computing that demonstrates the issues currently.
Emerging Networking Architecture and Technologies
This book constitutes refereed proceedings of the First International Conference on Emerging Networking Architecture and Technologies, ICENAT 2022, held in Shenzhen, China, in October 2022.The 50 papers presented were thoroughly reviewed and selected from the 106 submissions. The volume focuses on the latest achievements in the field of emerging network technologies, covering the topics of emerging networking architecture, network frontier technologies, industry network applications and so on.
Medical Applications with Disentanglements
This book constitutes the post-conference proceedings of the First MICCAI Workshop on Medical Applications with Disentanglements, MAD 2022, held in conjunction with MICCAI 2022, in Singapore, on September22, 2022. The 8 full papers presented in this book together with one short paper were carefully reviewed and cover generative adversarial networks (GAN), variational autoencoders (VAE) and normalizing-flow architectures as well as a wide range of medical applications, like brain age prediction, skull reconstruction and unsupervised pathology disentanglement.
Computational Intelligence and Smart Communication
This book constitutes the proceedings of the First International Conference on Computational Intelligence and Smart Communication, ICCISC 2022, was held in Dehradun, India, in June 2022.The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 56 submissions. The aim of the conference was to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field of Computational Intelligence and Smart Communication. It also focused on all aspects of computation intelligence and data sciences with modern and emerging computational topics.The papers are organized in the following topical sections: Wireless Sensor Networks and Computing Technologies; Networks, Security and Privacy Parallel & Distributed Networks; Smart Communication and Technology; and Emerging Computing Computational Intelligence.
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis
This book constitutes the refereed proceedings of the first MICCAI Workshop, ISGIE 2022, Imaging Systems for GI Endoscopy, and the Fourth MICCAI Workshop, GRAIL 2022, GRaphs in biomedicAL Image and analysis, held in conjunction with MICCAI 2022, Singapore, September 18, 2022.ISGIE 2022 accepted 6 papers from the 8 submissions received.This workshop focuses on novel scientific contributions to vision systems, imaging algorithms as well as the autonomous system for endorobot for GI endoscopy. This includes lesion and lumen detection, as well as 3D reconstruction of the GI tract and hand-eye coordination. GRAIL 2022 accepted 6 papers from the 10 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
Blueprint for an AI Bill of Rights
Welcome to the world of the Blue Arctic! Through this book, you will be taken on a journey of discovery into one of Earth's most remote and fascinating regions.The US Navy has been increasing its presence in Arctic waters over the past few years, with an eye towards promoting peace and protecting our interests throughout the region. The Navy is engaging in interoperability exercises and drills with allies and partners across both land and sea, all with a singular purpose - to ensure safety and security for all involved.The author for this work - the US Department of the Navy - is perfectly suited to tell such a tale: they are experts in both maritime affairs and Arctic operations as well as renowned global policymakers. This gives them unique insight into how best these ocean areas can be utilized by our nation's armed forces while still protecting endangered areas from climate change.From underwater submarines to advanced satellite surveillance systems, readers will get an insider's glimpse into how today's technologies can push us ever closer to understanding what lies beneath these icy outposts. Meanwhile, we learn about current events related to international relations occurring above water - such as increased tension with Russia - that are just as vital when it comes to ensuring everyone remains safe while exploring new horizons.Discovering the strategic maneuverings around the Earth's Seventh Sea should not only create excitement but also consider the issue more broadly-what other new strategic theatres will open up in the remainder of the 21st Century? Space; the Moon; the deep sea and seabed; "climate migration zones"; AI versusAI conflicts? In each case, nations must rally resources and resolve to meet new challenges, as the US is doing in this document.Jellicoe [AI]
Simplifying State Management in React Native
Make fact-based decisions by comparing different solutions and learning popular ways to manage state in React Native with clear guidelines and recommendations by a React Native expertKey Features: Explore the big picture of state management in React Native using the most simplified versionImplement state management solutions by building a social media clone appCompare different state solutions in a contained environment to choose the best fit for your future projectsBook Description: Managing state in a React Native app can be challenging as it is one of the most difficult concepts to grasp while learning React Native. This is because there are so many ways to do it, and because there is a lack of clear guidelines on what should be used and why.Simplifying State Management in React Native is a comprehensive introduction for those who are new to creating robust React Native apps that will have you up to speed in no time. You'll get to grips with the different state management strategies and libraries available. As you progress through the chapters, you'll try out different solutions, as well as compare and choose which solution is perfectly suited to your future projects and personal preferences. Finally, you'll create a social media clone app using all the concepts and examples that you've learned in this book.By the end of this book, you'll be able to take on existing projects that use various state management strategies and libraries, and confidently make decisions about state management.What You Will Learn: Start out by going over the basic ReactJS "mindset"Explore all that ReactJS has to offer to manage state in apps by building an appUnderstand existing state management libraries such as Redux, MobX, XState, Jotai, and React QueryDecide which libraries you want to use in your appsDesign a social media app to fully understand state managementTry out all the solutions presented in the book in a social media clone appWho this book is for: This book is for junior developers, React Native developers, and mobile app developers who are already using React Native, but are also on the lookout for advice and for a broader view to manage the state and changes in their applications. Basic knowledge of ReactJS and React Native, as well as familiarity with JavaScript and general mobile app development concepts are needed to grasp the topics covered in this book.
Vision-Language Pre-Training
Humans perceive the world through many channels, such as images viewed by the eyes, or voices heard by the ears. Though any individual channel might be incomplete or noisy, humans can naturally align and fuse information collected from multiple channels in order to grasp the key concepts needed for a better understanding of the world. One of the core aspirations in Artificial Intelligence (AI) is to develop algorithms that endow computers with an ability to effectively learn from multimodal (or, multi-channel) data. This data is similar to sights and sounds attained from vision and language that help humans make sense of the world around us. For example, computers could mimic this ability by searching the most relevant images to a text query (or vice versa), and by describing the content of an image using natural language. Vision-and-Language (VL), a popular research area that sits at the nexus of Computer Vision and Natural Language Processing (NLP), aims to achieve this goal. This monograph surveys vision-language pre-training (VLP) methods for multimodal intelligence that have been developed in the last few years. Approaches are grouped into three categories: (i) VLP for image-text tasks, such as image captioning, image-text retrieval, visual question answering, and visual grounding; (ii) VLP for core computer vision tasks, such as (open-set) image classification, object detection, and segmentation; and (iii) VLP for video-text tasks, such as video captioning, video-text retrieval, and video question answering. For each category, a comprehensive review of state-of-the-art methods is presented, and the progress that has been made and challenges still being faced are discussed, using specific systems and models as case studies. In addition, for each category, advanced topics being actively explored in the research community are presented, such as big foundation models, unified modeling, in-context few-shot learning, knowledge, robustness, and computer vision in the wild, to name a few.
Telematics and Computing
This book constitutes the thoroughly refereed proceedings of the 10th International Congress on Telematics and Computing, WITCOM 2021, held in November 2021. Due to the COVID-19 pandemic the conference was held online. The 12 full papers and 7 short papers in this volume were carefully reviewed and selected from 48 submissions. The papers are focused on the topics of deep and machine learning, cybersecurity, wireless networks, computer vision, communications, and education applied to different sceneries of study and COVID-19.
Artificial Neural Networks and Machine Learning - Icann 2022
The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications. Chapters "Learning Flexible Translation Between Robot Actions and Language Descriptions", "Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Cloud Computing Fundamentals
If you want to PASS the MICROSOFT AZURE AZ-900 EXAM, this book is for you! The AZ-900 Exam centres on the knowledge required to define cloud service benefits and usage considerations; explain IaaS, PaaS, and SaaS; compare public, private, and hybrid cloud models; describe core Azure architectural components, products, solutions, and management tools; describe how network connectivity is secured in Azure; describe core identity services; describe Azure security tools, features, governance methodologies, and monitoring and reporting options; describe privacy, compliance, and data protection standards; describe Azure subscriptions, cost planning, and cost management; and describe SLAs and the service lifecycle.BUY THIS BOOK NOW AND GET STARTED TODAY! In this book you will discover: AZ-900 Exam SummarySkills Measured DocumentWhy Use Microsoft AzureHow to Create an Azure SubscriptionHow to Create Resources in AzureWhat are Azure Regions & Availability ZonesHow to Choose Azure Region for Deploying ResourcesAzure Data Centre FundamentalsResources and Resource Group BasicsHow to Explore Azure PortalHow to Create Resource Groups in AzureAzure Active Directory BasicsAzure Directories & SubscriptionsAzure Service ModelsAzure Compute OptionsAzure Virtual Machine BasicsAzure VM Scale & Availability SetsHow to Create a Virtual Machine in AzureHow to Explore Azure Virtual MachinesAzure AD Domain ServicesAzure Virtual Desktop BasicsAzure Container OptionsHow to Create an Azure Container InstanceAzure App Service FundamentalsHow to Create an Azure App ServiceServerless Computing in AzureHow to Create an Azure FunctionAzure NetworkingHow to Create an Azure VNETHow to Add Virtual Machine to VNETHow to Create a Network Security Group (NSG)How to Peer Virtual NetworksAzure VPN Gateway BasicsAzure ExpressRoute BasicsAzure DNS BasicsAzure Private EndpointsAzure Data Storage OptionsAzure Storage AccountsAzure Storage Account Redundancy OptionsHow to Create a Storage AccountAzure Blobs and Access TiersAzure File AttachmentsHow to Explore Azure Storage AccountsAzure Data Transfer OptionsAzure Storage ExplorerHow to Use AzCopy to Upload & Manage BlobsManaged Database Products in AzureAzure Migrate FundamentalsHow to Use Azure Migrate to Move Apps to AzureHow to Migrate Data with Azure Data BoxAzure Resource Manager BasicsAzure Command Line InterfaceAzure PowerShellHow to Use Azure Cloud Shell in Azure PortalAzure Resource Manager TemplatesAzure Service HealthHow to use Azure MonitorHow to Explore Azure MonitorHow to Use Azure Monitor Metrics in a ResourceLog Analytics in Azure MonitorHow to Optimize Resources using Azure AdvisorAzure App for Mobile DevicesHow to Manage Resources Outside Azure using Azure ArcHow to Add Local Server to Azure Arc BUY THIS BOOK NOW AND GET STARTED TODAY!
Azure Cloud Computing Az-900 Exam Study Guide
If you want to PASS the MICROSOFT AZURE AZ-900 EXAM, this book is for you! BUY THIS BOOK NOW AND GET STARTED TODAY!In book 1 you will discover: AZ-900 Exam SummarySkills Measured DocumentWhy Use Microsoft AzureHow to Create an Azure SubscriptionHow to Create Resources in AzureWhat are Azure Regions & Availability ZonesHow to Choose Azure Region for Deploying ResourcesAzure Data Centre FundamentalsHow to Explore Azure PortalHow to Create Resource Groups in AzureAzure Active Directory BasicsAzure Directories & SubscriptionsAzure AD Domain ServicesHow to Create an Azure Container InstanceAzure App ServiceHow to Create an Azure App ServiceServerless Computing in AzureHow to Create an Azure FunctionAzure NetworkingHow to Create an Azure VNETHow to Add Virtual Machine to VNETHow to Create a Network Security Group (NSG)How to Peer Virtual NetworksAzure VPN Gateway BasicsAzure ExpressRoute BasicsAzure DNS BasicsAzure Private EndpointsAzure Data Storage OptionsAzure Storage AccountsAzure Storage Account Redundancy OptionsHow to Create a Storage AccountAzure Blobs and Access TiersAzure File AttachmentsHow to Explore Azure Storage AccountsAzure Data Transfer OptionsAzure Storage ExplorerHow to Use AzCopy to Upload & Manage BlobsAzure Migrate FundamentalsAzure Service HealthHow to use Azure MonitorHow to Explore Azure MonitorHow to Use Azure Monitor Metrics in a ResourceLog Analytics in Azure MonitorHow to Optimize Resources using Azure AdvisorAzure App for Mobile DevicesHow to Manage Resources Outside Azure using Azure ArcHow to Add Local Server to Azure ArcIn book 2 you will discover: Introduction to Azure Identity ServicesAzure Active Directory FundamentalsHow to Work with Conditional AccessHow to Implement Azure Role Based Access ControlHow to Implement Azure Access & Governance ToolsAzure Application Security GroupsAzure Firewall BasicsAzure User Defined RoutesAzure Information Protection & Security Monitoring ToolsAzure Key Vault BasicsAzure Security Center BasicsAzure Service Trust & ComplianceHow to use Azure Trust Center & Compliance ManagerAzure Special RegionsAzure Compliance ResourcesIn book 3 you will discover: Introduction to Azure SubscriptionsHow to create an Azure SubscriptionHow to Add and Name Azure SubscriptionsHow to Provision a New Azure SubscriptionAzure Management GroupsWhat's Affecting Azure CostsBest Practices for Minimizing Azure CostsAzure Pricing Calculator BasicsHow to use the Azure Price CalculatorAzure Support OptionsAzure Knowledge CenterHow to open a Support Ticket on Azure Knowledge CenterAzure Service Level AgreementsHow to Determine the Appropriate SLAAzure Service LifecycleIn book 4 you will discover: How to Register for the AZ-900 ExamHow to Take your Exam at the Testing CenterHow to Take your Exam at HomeAzure AZ-900 Exam StructureAZ-900 Exam Question TypesWhat Happens After the ExamWhat if You Pass the ExamWhat if You Fail the ExamBUY THIS BOOK NOW AND GET STARTED TODAY!
Portraits by A.I.
H. Matsumoto's, Portraits by A.I., provides a fascinating glimpse into the future of portraiture using algorithmic technology. The book features a collection of beautiful portraits generated by artificial intelligence (A.I.). What is particularly striking about these portraits is how they depict the unique essence of each individual. Each image captures not only the physical features but also their personality and emotions. Portraits by A.I. delivers an intriguing peek into the future of art, where artificial intelligence will play an increasingly important role in creating new and unique works. Whether you're an artist or simply a lover of beautiful things, Matsumoto's book is sure to inspire and delight. If you're interested in seeing some beautiful possibilities with generative A.I. art, this book of portraits is a great place to start.
Rise of the Moral Machine
Rise of the Moral machine describes the emergence of a new technology called 'moral machines' that seeks to equip AI algorithms and robots with a capacity to perceive and respond to the ethical consequences of their choices and actions.The recent and in some cases breath-taking advances in Artificial Intelligence have led to serious ethical concerns over the harms that this technology could cause to individuals, organisations and society at large. The root cause of these concerns comes from the fact that these decision-making algorithms are morally na簿ve. They have no concept of right or wrong and no capacity to recognise the potential good or evil that their 'autonomous' decisions and actions might have on the people they interact with.This book describes the efforts of scientists who seek to rectify this by equipping AI algorithms and robots with a capacity to perceive and respond to the ethical consequences of their choices and actions.The Author bring a unique perspective on this subject that is informed by a deep understanding of AI technology combined with a long-term amateur interest in the theology of personal moral development.The book offers a thoughtful and accessible discussion at the intersection between AI, theology, philosophy and neuroscience. Ultimately, its aim is to alleviate the fears that many have about how AI and robotics are challenging our understanding of human identity, of which moral competence is a vital component.
Human-Computer Interaction
This book constitutes the refereed proceedings of the 8th Iberoamerican Workshop on Human-Computer Interaction, HCI-COLLAB 2022, which took place in Havana, Cuba, in October 2022. The 15 full papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers deal with topics such as emotional interfaces, usability, video games, computational thinking, collaborative systems, IoT, software engineering, ICT in education, augmented and mixed virtual reality for education, gamification, emotional interfaces, adaptive instructional systems, accessibility, use of video games in education, artificial intelligence in HCI and infotainment, among others.
Pattern Recognition Applications and Methods
This book contains revised and extended versions of selected papers from the 10th and 11th International Conference on Pattern Recognition, ICPRAM 2021 and 2022, held in February 2021 and 2022. Due to COVID-19 pandemic the conferences were held virtually. Both conferences received in total 204 submissions from which 8 full papers were carefully reviewed and selected for presentation in this volume. The papers span a wide range of investigation as well as development lines, which of course always reflect the last trends of research in the pattern recognition community.
Ethical and Social Issues in the Information Age
This textbook examines the ethical, social, and policy challenges arising from our rapidly and continuously evolving computing technology--ranging from the Internet, over to the cross-platforms consisting of ubiquitous portable and wearable devices to the eagerly anticipated metaverse--and how we can responsibly access and use these spaces. The text emphasizes the need for a strong ethical framework for all applications of computer science and engineering in our professional and personal life.This comprehensive seventh edition features thoroughly revised chapters with new and updated content, hardened by the bedrock ethical and moral values. Because of the rapidly changing computing and telecommunication ecosystem, a new chapter on Ethics and Social Responsibility in the Metaverse has been added. The interface between our current universe and the evolving metaverse presents a security quagmire. The discussion throughout the book is candid and intended to ignite students' interest and participation in class discussions and beyond. Topics and features: Establishes a philosophical framework and analytical tools for discussing moral theories and problems in ethical relativismOffers pertinent discussions on privacy, surveillance, employee monitoring, biometrics, civil liberties, harassment, the digital divide, and discriminationDiscusses the security and ethical quagmire in the platforms of the developing metaverseProvides exercises, objectives, and issues for discussion with every chapterExamines the ethical, cultural and economic realities of mobile telecommunications, computer social network ecosystems, and virtualization technologyReviews issues of property rights, responsibility and accountability relating to information technology and softwareExplores the evolution of electronic crime, network security, and computer forensicsIntroduces the new frontiers of ethics: virtual reality, artificial intelligence, and the InternetThis extensive textbook/reference addresses the latest curricula requirements for understanding the cultural, social, legal, and ethical issues in computer science and related fields, and offers invaluable advice for industry professionals wishing to put such principles into practice.
Machine Learning Under Malware Attack
Machine learning has become key in supporting decision-making processes across a wide array of applications, ranging from autonomous vehicles to malware detection. However, while highly accurate, these algorithms have been shown to exhibit vulnerabilities, in which they could be deceived to return preferred predictions. Therefore, carefully crafted adversarial objects may impact the trust of machine learning systems compromising the reliability of their predictions, irrespective of the field in which they are deployed. The goal of this book is to improve the understanding of adversarial attacks, particularly in the malware context, and leverage the knowledge to explore defenses against adaptive adversaries. Furthermore, to study systemic weaknesses that can improve the resilience of machine learning models.
Social Robotics
The two-volume set LNAI 13817 and 13818 constitutes the refereed proceedings of the 14th International Conference on Social Robotics, ICSR 2022, which took place in Florence, Italy, in December 2022. The 111 papers presented in the proceedings set were carefully reviewed and selected from 143 submissions. The contributions were organized in topical sections as follows: Social robot navigation and interaction capabilities (voice, tactile); Social robot perception and control capabilities; Investigating non verbal interaction with Social robots; Foster attention and engagement strategies in social robots; Special Session 1: Social Robotics Driven by Intelligent Perception and Endogenous Emotion-Motivation Core; Special Session 2: Adaptive behavioral models of robotic systems based on brain-inspired AI cognitive architectures; Advanced HRI capabilities for interacting with children; Social robots as advanced educational tool; Social robot applications in clinical and assistive scenarios; Collaborative social robots through dynamic game; Design and evaluate user's robot perception and acceptance; Ethics, gender & trust in social robotics.
Hesitant Fuzzy Set
Chapter 1: Hesitant Fuzzy Set.- Chapter 2: Hesitant Fuzzy Linguistic Term Set.- Chapter 3: Neutrosophic Hesitant Fuzzy Set.- Chapter 4: Pythagorean Hesitant Fuzzy Set.- Chapter 5: q-Rung Orthopair Hesitant Fuzzy Set.- Chapter 6: Probabilistic Hesitant Fuzzy Set.- Chapter 7: Type 2 Hesitant Fuzzy Set.- Chapter 8: Hesitant Bipolar Fuzzy Set.- Chapter 9: Cubic Hesitant Fuzzy Set.- Chapter 10: Complex Hesitant Fuzzy Set.- Chapter 11: Picture Hesitant Fuzzy Set.- Chapter 12: Spherical Hesitant Fuzzy Set.
Democratizing Application Development with AppSheet
A hands-on guide to building sophisticated business applications and automation using AppSheet to deliver business results quickly without writing lines of codeKey Features: Learn how the AppSheet Editor works to configure, test, and deploy a business app without writing lines of codeGet hands-on experience with AppSheet by building a real-world application throughout the bookExplore useful tips and tricks to develop custom functionalities in the app to meet unique business needsBook Description: This book enables citizen developers to create their own simple or medium complex hybrid apps for business or personal use. It shows you how to combine features to make your app more efficient and easy to use for the end user.Many citizen developers regularly use spreadsheets in their business and day-to-day jobs. With AppSheet, you can take your spreadsheets to the next level by enhancing their ease of use. The platform allows citizen developers to run their business significantly more efficiently and manage it in the field outside of an office or indoor environment.As a beginner in Appsheet, this book will show you how the AppSheet Editor works and how it is used to configure, test, and deploy an app and share it with others as users or co-authors. You'll learn about widely used features such as how to effectively use data sources, create app views and actions, construct expressions with AppSheet functions, and make your app secure through security options and user-friendly UX options. After that, you'll go on to create email /attachment templates and create reports/documents based on templates, store in the cloud, and send files through emails. You'll also understand how to integrate third-party services. You will learn how to monitor various usage statistics of your app. As you progress through the chapters, you will learn various features with the help of sample apps we have created for the book.What You Will Learn: Discover how the AppSheet app is presented for app usersExplore different views you can use and how to format your data with colors and iconsUnderstand AppSheet functions such as Yes/No, text, math, list, date and time and build expressions with those functionsLearn different actions such as data change, app navigation, external communication, CSV Import/ExportAdd/delete and define editing permissions and learn to broadcast notifications and inform users of changesBuild a Bot through AppSheet Automation feature to automate various business workflowsWho this book is for: This book is for beginner and intermediate citizen application developers in small or medium size businesses and business users who want to develop their own business apps. Basic knowledge of Google Sheets or Excel and an understanding of different spreadsheet formulas are required. Knowledge of SQL and basic software development is beneficial but not necessary.
Iot-Enabled Convolutional Neural Networks: Techniques and Applications
Convolutional neural networks (CNNs), a type of deep neural network that has become dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest across a variety of domains due to their high efficiency at extracting meaningful information from visual imagery. CNNs excel at a wide range of machine learning and deep learning tasks. As sensor-enabled internet of things (IoT) devices pervade every aspect of modern life, it is becoming increasingly critical to run CNN inference, a computationally intensive application, on resource-constrained devices. Through this edited volume, we aim to provide a structured presentation of CNN-enabled IoT applications in vision, speech, and natural language processing. This book discusses a variety of CNN techniques and applications, including but not limited to, IoT enabled CNN for speech denoising, a smart app for visually impaired people, disease detection, ECG signal analysis, weather monitoring, texture analysis, etc. Unlike other books on the market, this book covers the tools, techniques, and challenges associated with the implementation of CNN algorithms, computation time, and the complexity associated with reasoning and modelling various types of data. We have included CNNs' current research trends and future directions.
Operating Openshift
Kubernetes has gained significant popularity over the past few years, with OpenShift as one of its most mature and prominent distributions. But while OpenShift provides several layers of abstraction over vanilla Kubernetes, this software can quickly become overwhelming because of its rich feature set and functionality. This practical book helps you understand and manage OpenShift clusters from minimal deployment to large multicluster installations. Principal site reliability engineers Rick Rackow and Manuel Dewald, who worked together on Red Hat's managed OpenShift offering for years, provide valuable advice to help your teams operate OpenShift clusters efficiently. Designed for SREs, system administrators, DevOps engineers, and cloud architects, Operating OpenShift encourages consistent and easy container orchestration and helps reduce the effort of deploying a Kubernetes platform. You'll learn why OpenShift has become highly attractive to enterprises large and small. Learn OpenShift core concepts and deployment strategies Explore multicluster OpenShift Container Platform deployments Administer OpenShift clusters following best practices Learn best practices for deploying workloads to OpenShift Monitor OpenShift clusters through state-of-the-art concepts Build and deploy Kubernetes operators to automate administrative tasks Configure OpenShift clusters using a GitOps approach
Applied Machine Learning for Healthcare and Life Sciences using AWS
Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizationsKey Features: Learn about healthcare industry challenges and how machine learning can solve themExplore AWS machine learning services and their applications in healthcare and life sciencesDiscover practical coding instructions to implement machine learning for healthcare and life sciencesBook Description: While machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics.This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You'll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications.By the end of this book, you'll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence.What You Will Learn: Explore the healthcare and life sciences industryFind out about the key applications of AI in different industry segmentsApply AI to medical images, clinical notes, and patient dataDiscover security, privacy, fairness, and explainability best practicesExplore the AWS ML stack and key AI services for the industryDevelop practical ML skills using code and AWS servicesDiscover all about industry regulatory requirementsWho this book is for: This book is specifically tailored toward technology decision-makers, data scientists, machine learning engineers, and anyone who works in the data engineering role in healthcare and life sciences organizations. Whether you want to apply machine learning to overcome common challenges in the healthcare and life science industry or are looking to understand the broader industry AI trends and landscape, this book is for you. This book is filled with hands-on examples for you to try as you learn about new AWS AI concepts.
Transparency and Interpretability for Learned Representations of Artificial Neural Networks
Artificial intelligence (AI) is a concept, whose meaning and perception has changed considerably over the last decades. Starting off with individual and purely theoretical research efforts in the 1950s, AI has grown into a fully developed research field of modern times and may arguably emerge as one of the most important technological advancements of mankind. Despite these rapid technological advancements, some key questions revolving around the matter of transparency, interpretability and explainability of an AI's decision-making remain unanswered. Thus, a young research field coined with the general term Explainable AI (XAI) has emerged from increasingly strict requirements for AI to be used in safety critical or ethically sensitive domains. An important research branch of XAI is to develop methods that help to facilitate a deeper understanding for the learned knowledge of artificial neural systems. In this book, a series of scientific studies are presented that shed lighton how to adopt an empirical neuroscience inspired approach to investigate a neural network's learned representation in the same spirit as neuroscientific studies of the brain.
Advanced Analytics and Learning on Temporal Data
This book constitutes the refereed proceedings of the 7th ECML PKDD Workshop, AALTD 2022, held in Grenoble, France, during September 19-23, 2022.The 12 full papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Oral presentation and poster presentation.
SAFe(R) for DevOps Practitioners
Discover how the DevOps approach with Scaled Agile Framework helps you develop and deliver high-quality, secured solutions with a reduced risk of production failures with this step-by-step guideKey Features: Explore the five elements of the CALMR approach to avoid product development challengesUse value stream management to introduce systems thinking and flow for product developmentDemonstrate how the CD pipeline combines practices and technology to optimize your value streamPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description: Product development and release faces overlapping challenges due to the combined pressure of delivering high-quality products in shorter time-to-market cycles, along with maintaining proper operation and ensuring security in a complex high-tech environment. This calls for new ways of overcoming these challenges from design to development, to release, and beyond. SAFe(R) for DevOps Practitioners helps you use a DevOps approach with the Scaled Agile Framework and details how value streams help you resolve these challenges using examples and use cases.The book begins by explaining how the CALMR approach makes DevOps effective in resolving product development roadblocks. Next, you'll learn to apply value stream management to establish a value stream that enables product development flow, measure its effectiveness through appropriate feedback loops, and find ways of improving it. Finally, you'll get to grips with implementing a continuous delivery pipeline that optimizes the value stream through four phases during release on demand. This book complements the latest SAFe DevOps courses, and you'll find it useful while studying for the SAFe DevOps Practitioner (SDP) certification.By the end of this DevOps book, you'll have gained a clear understanding of how to achieve continuous execution and release on demand using DevOps and SAFe.What You Will Learn: Understand the important elements of the CALMR approachDiscover how to organize around value using value stream mappingMeasure your value stream using value stream metricsImprove your value stream with continuous learningUse continuous exploration to design high-quality and secure featuresPrevent rework and build in quality using continuous integrationAutomate delivery with continuous deploymentMeasure successful outcomes with Release on DemandWho this book is for: This book is for IT professionals such as DevOps and DevSecOps practitioners, SREs, and managers who are interested in implementing DevOps practices using the Scaled Agile Framework (SAFe) approach. Basic knowledge of DevOps and agile software development lifecycle and methodology will be helpful.
Technology and Sustainable Development
Technological change is at the core of all major disruptions in human history, andrevolutions, wars, and general development are regularly connected to some sort oftechnological change. However, not all development is beneficial. While technology hasfueled great innovations and rapid development, the notion of sustainable developmenthas gained prominence as we now experience serious social, economic, and environmentalchallenges.This book examines whether technology can be used to fix the very problems caused bytechnology, as the various chapters examine different aspects related to how technologyhas brought us where we are today (which some will say is the best place humanity's been ataccording to a range of metrics), and whether technology helps or hinders us in our effortsto solve the challenges we currently face. The issues discussed cover the three sustainabilitydimensions and include topics such as the materiality of AI, technology in education, AIfor gender equality, innovation and the digital divide, and how technology relates to power, the political system, and capitalism. The chapters all build on the theoretical backdrop oftechnological change, sustainable development, and the UN's Sustainable DevelopmentGoals are actively used throughout this book, both to examine how these goals capture oroverlook central elements of sustainable development, and also to facilitate and create acommon framework of engagement between the chapters.This book provides a novel combination of traditional theories that are exploredthrough different case studies, providing the ground for a better understanding of howand when technology can - and cannot - be the enabler of sustainable development.It is thus an important resource for students of all disciplines, technologists, and thosedeveloping and applying new technologies. It is also a valuable resource for politiciansand regulators attempting to harness the power of technology for good, while limiting itsnegative potential.The Open Access version of this book, available at www.taylorfrancis.com, has beenmade available under a Creative Commons [Attribution-Non Commercial-No Derivatives(CC-BY-NC-ND)] 4.0 license. Funded by ?stfold University College.
Fast and robust coding for image and video interpolation
Data coding has emerged in different directions. In order to improve data coding, different real time applications were focused for effective and accurate usage of available resources. In such of these applications resources are constrained, whereas data coding systems are prone to face limitations on processing speed and accuracy. When the speed of computation for transferring gains importance, accuracy is not taken into much of an account or rather left neglected. In such cases the system efficiency can be improved with a low computation and lower dimension coding techniques having higher levels of accuracy. 'Video coding' is one such application where these effects will have higher profile as could be observed.
Building Evolutionary Architectures
The software development ecosystem is constantly changing, providing a constant stream of new tools, frameworks, techniques, and paradigms. Over the past few years, incremental developments in core engineering practices for software development have created the foundations for rethinking how architecture changes over time, along with ways to protect important architectural characteristics as it evolves. This practical guide ties those parts together with a new way to think about architecture and time.
Metaverse Investing & Marketing Book
Are you looking for exciting new ways to invest?Have you heard of the Metaverse and its amazingly creative opportunities?How would you use it to generate passive income streams that will increase your wealth?The Metaverse is here now, and it promises a whole new way for investors to get creative and make vast fortunes from it. From Virtual Reality (VR) to NFT's and Cryptos, with many other exciting opportunities in between, the Metaverse has openings for us all to create wealth that will improve our lives and give us everything we ever wanted. But how would you use the Metaverse to improve your financial position when you don't know the first thing about it?You may never have heard about the Metaverse before and even if you have you may believe that it is something so complex that you could never make it work in your world.It's time to dispel those thoughts and to start thinking differently so that you can enjoy a lucrative future and Metaverse will help get you started.GET NOW the book that will change your life!
Economic Crime
This book is the first attempt to establish 'economic crime' as a new sub-discipline within criminology. Fraud, corruption, bribery, money laundering, price-fixing cartels and intellectual property crimes pursued typically for financial and professional gain, have devastating consequences for the prosperity of economic life. While most police forces in the UK and the USA have an 'economic crime' department, and many European bodies such as Europol use the term and develop strategies and structures to deal with it, it is yet to grain traction as a widely used term in the academic community. Economic Crime: From Conception to Response aims to change that and covers: definitions of the key premises of economic crime as the academic sub-discipline within criminology; an overview of the key research on each of the crimes associated with economic crime; public, private and global responses to economic crime across its different forms and sectors of the economy, both within the UK and globally. This book is an essential resource for students, academics and practitioners engaged with aspects of economic crime, as well as the related areas of financial crime, white-collar crime and crimes of the powerful.
Software Test Design
A guide to writing comprehensive test plans covering exploratory testing and feature specification; black and white box testing; security, usability, and maintainability; and load and stress testingKey Features: Cover all key forms of testing for modern applications systematicallyUnderstand anti-patterns and pitfalls in system design with the help of practical examplesLearn the strengths and weaknesses of different forms of testing and how to combine them effectivelyBook Description: Software Test Design details best practices for testing software applications and writing comprehensive test plans. Written by an expert with over twenty years of experience in the high-tech industry, this guide will provide you with training and practical examples to improve your testing skills.Thorough testing requires a thorough understanding of the functionality under test, informed by exploratory testing and described by a detailed functional specification. This book is divided into three sections, the first of which will describe how best to complete those tasks to start testing from a solid foundation.Armed with the feature specification, functional testing verifies the visible behavior of features by identifying equivalence partitions, boundary values, and other key test conditions. This section explores techniques such as black- and white-box testing, trying error cases, finding security weaknesses, improving the user experience, and how to maintain your product in the long term.The final section describes how best to test the limits of your application. How does it behave under failure conditions and can it recover? What is the maximum load it can sustain? And how does it respond when overloaded?By the end of this book, you will know how to write detailed test plans to improve the quality of your software applications.What You Will Learn: Understand how to investigate new features using exploratory testingDiscover how to write clear, detailed feature specificationsExplore systematic test techniques such as equivalence partitioningUnderstand the strengths and weaknesses of black- and white-box testingRecognize the importance of security, usability, and maintainability testingVerify application resilience by running destructive testsRun load and stress tests to measure system performanceWho this book is for: This book is for anyone testing software projects for mobile, web, or desktop applications. That includes Dedicated QA engineers managing software quality, Test and test automation engineers writing formal test plans, Test and QA managers running teams responsible for testing, Product owners responsible for product delivery, and Developers who want to improve the testing of their code.
Blockchain Technology for Managers
Blockchain is a technology that tends to be misunderstood by managers that need to make technology acquisition decisions. This book will provide readers with a basic understanding of blockchain and distributed ledger technology (DLT), the technologies that underpin it, and the technologies DLT is built upon. The book is purposefully not a book on how to code or explore other technical aspects of blockchain (other than the fundamentals). Rather, it provides managers with the basic understanding of the architectures and consensus algorithms, how they work, the design trade-offs of each architecture type, and what problems and use cases the core characteristics of DLT are best suited to solve ─ providing business managers with the core information they need to ask the right questions of vendors when making business value assessments and acquisition decisions.
Recent Developments in Artificial Intelligence and Communication Technologies
This book is a review of recent artificial intelligence approaches, initiatives and applications in engineering and science fields. It features contributions that highlight the use of techniques such as machine learning, mining engineering, modeling and simulation, and fuzzy logic methods in the fields of communication, networking and information engineering. The collection of chapters should inspire scholars involved in theoretical and applied sciences to contribute to research using computational intelligence principles and methods in their respective research communities. Professionals working on systems engineering, communications, innovative computing systems and adaptive technologies for sustainable growth, will also be able to benefit from the information provided in the book.
Cyber Physical Systems
Cyber Physical System (CPS) is an integration of computation, networking, and physical processes: the combination of several systems ofdifferent nature whose main purpose is tocontrol a physical process and, through feedback, adapt itself to new conditions, in real time.Cyber Physical System: Concepts and Applications includes an in-depth coverage of the latestmodels and theories that unify perspectives.It expresses the interacting dynamics of the computational and physical components of asystem in a dynamic environment. Covers automatic application of software countermeasures against physical attacks and impact of cyber physical system on industry 4.0 Explains how formal models provide mathematical abstractions to manage the complexity of a system design Offers a rigorous and comprehensive introduction to the principles of design, specification, modelling, and analysis of cyber physicalsystems Discusses the multiple domains where Cyber Physical system has a vital impact and provides knowledge about different models thatprovide mathematical abstractions tomanage the complexity of a system design Provides the rapidly expanding field of cyber-physical systems with a Long-needed foundational text by an established authority This book is primarily aimed at advanced undergraduates, graduates of computer science. Engineers will also find this book useful.
Chance in Physics, Computer Science and Philosophy
Chance is uncanny to us. We thought it didn't exist, that God or a reasonable explanation was behind everything. But we know today: It exists. We know that much of what surrounds us and which we do not see through, nevertheless runs causally. Unlike what was thought in the days of the Enlightenment, chance is the rule around us rather than lawful order. The clouds are stochastic fractals, the waves on the sea are pure random machinery. The philosopher Charles Peirce recognized the fundamental importance of chance in precisely this sense, even before quantum and chaos theory, and gave the doctrine its name: Tychism. Without chance there would be nothing new, no life, no creativity, no history. This book looks at chance from the perspective of physics, computer science, and philosophy. It spans from antiquity to quantum physics and shows that chance is firmly built into the world and that it would not exist without chance. This book is a translation of the original German 1st edition Der Zufall in Physik, Informatik und Philosophie by Walter Hehl, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
Human-Computer Interaction in Industry
We live in a manufactured world and the manufacturing and production industry is one of the primary sources of economic prosperity for most countries. Industries strive to produce the right goods for the right customer at the right time, location, quantity, quality, and cost. In addition to this overarching objective, they are faced with a set of challenges such as meeting increased customer requirements, increasing complexity of products and supply chains, ensuring machine and workforce productivity, and empowering the workforce by creating opportunities for training and lifelong learning. To meet these challenges organizations have leveraged technologies in production systems since the beginning of industrialization. In the 1960s, two approaches to improve production emerged: automation and augmentation. Until recently, physical and mechanical automation dominated industrial research. However, with the emergence of the Fourth Industrial Revolution, the potential of Human-Computer Interaction (HCI) serving a transformative role in manufacturing has gained significant interest and relevance in industry. Where full automation is ineffective or infeasible, Operator Assistance Systems (OAS) can augment workers' cognitive or physical capabilities. In this monograph, the authors frame OAS as a subset of HCI systems designed for the purpose of workforce augmentation in production systems. However, while OAS are anticipated to address key needs in industry, a challenge for both OAS researchers and industrial practitioners is to identify the most promising applications of OAS and justify them from a value-added perspective. This monograph addresses the challenges in OAS by presenting a systematic literature review revealing 11 application areas for OAS and 12 approaches for assessing the value-added of OAS. The authors also discuss implications for OAS, with a particular focus on integration in industry.
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
