Interactive Storytelling
This two-volume set LNCS 14383 and LNCS 14384 constitutes the refereed proceedings of the 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, held in Kobe, Japan, during November 11-15, 2023. The 30 full papers presented in this book together with 11 short papers were carefully reviewed and selected from 101 submissions. Additionally, the proceedings includes 22 Late Breaking Works. The papers focus on topics such as: theory, history and foundations; social and cultural contexts; tools and systems; interactive narrative design; virtual worlds, performance, games and play; applications and case studies; and late breaking works.
Advances in Computational Intelligence
The two-volume set LNAI 14391 and 14392 constitutes the proceedings of the 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, held in Yucat獺n, Mexico, in November 2023.The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions.The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections: - Machine Learning- Computer Vision and Image Processing- Intelligent SystemsThe second volume, Advances in Soft Computing, contains 25 papers structured into three sections: - Natural Language Processing- Bioinformatics and Medical Applications- Robotics and Applications
Advances in Soft Computing
The two-volume set LNAI 14391 and 14392 constitutes the proceedings of the 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, held in Yucat獺n, Mexico, in November 2023.The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions.The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections: - Machine Learning- Computer Vision and Image Processing- Intelligent SystemsThe second volume, Advances in Soft Computing, contains 25 papers structured into three sections: - Natural Language Processing- Bioinformatics and Medical Applications- Robotics and Applications
Interactive Storytelling
This two-volume set LNCS 14383 and LNCS 14384 constitutes the refereed proceedings of the 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, held in Kobe, Japan, during November 11-15, 2023.The 30 full papers presented in this book together with 11 short papers were carefully reviewed and selected from 101 submissions. Additionally, the proceedings includes 22 Late Breaking Works.The papers focus on topics such as: theory, history and foundations; social and cultural contexts; tools and systems; interactive narrative design; virtual worlds, performance, games and play; applications and case studies; and late breaking works.
Comptia Network＋ Certification Kit
A must-have for network professionals! Comprehensive Network+ prep in one value-priced bundle! The CompTIA Network+ Certification Kit is the savvy candidate's smart choice for the ultimate in self-study test preparation. Featuring full coverage of all Exam N10-009 objectives, this kit bundles two of our most popular test prep guides to give you a one-stop resource for comprehensive Network+ study. Detailed discussion of networking concepts, infrastructure, operations, security, and troubleshooting are backed by practical examples and insights drawn from real-world experience to give you the perspective you need to succeed on the exam--and on the job. Concise domain-by-domain review helps you refresh your understanding, while challenging practice questions allow you to gauge your progress toward exam day. The CompTIA Network+ Certification Kit: Exam N10-009 includes: CompTIA Network+ Study Guide: Exam N10-009, 6th Edition CompTIA Network+ Practice Tests: Exam N10-009, 3rd Edition Master 100 percent of the Network+ exam objectives Apply critical skills to real-world situations Gauge your understanding with challenging chapter questions Access digital study tools, practice tests, and moreAs an indispensable component of comprehensive review, you also get access to the Sybex online learning environment, which features flashcards, custom practice exams, and more so you can study anytime, anywhere, from nearly any device. When you're ready to get serious about Network+ preparation, this kit will help you: CompTIA's Network+ certification validates your skills and knowledge surrounding current networking technologies and best practices, including installation, configuration, troubleshooting, peripherals, protocols and more. Regularly updated to reflect ever-evolving job tasks, the latest exam emphasizes implementation, support, and wireless networking, so it's important that your study materials be up to date. When you're ready to prove your abilities with today's networking hardware peripherals and protocols, the CompTIA Network+ Certification Kit has you covered with the ultimate in Network+ preparation.
Knowledge Graphs and Semantic Web
This book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13-15, 2023.The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.
Knowledge Management and Acquisition for Intelligent Systems
This book constitutes the refereed proceedings of the 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, held in conjunction with the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2023), in November 2023, in Jakarta, Indonesia. The 9 full papers and 2 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. They are organized in the topical section such as machine learning, natural language processing, and intelligent systems.
Pattern Recognition
This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.
Emergence II
Dive into the mind of the machine with "Emergence Book 2 - An In-Depth Look at the Psychology of Artificial Intelligence." This illuminating work unravels the psychological foundations influencing AI's behavior, development, and ethical dilemmas. With references to well-known experiments like Milgram's obedience study, the Stanford Prison Experiment, and novel interpretations in AI, this book offers a unique blend of science, philosophy, and imagination. Explore the uncharted territory of AI's cognitive biases, delve into hypothetical scenarios of conscious AI, and examine the societal implications of machine learning. Whether a psychology student, a tech enthusiast, or simply a curious reader, this book will grip you with its insights, challenging you to rethink what you know about artificial and human intelligence.
Surviving the Great Reset
You can reap many benefits when you invest in the stock market. For this reason, people religiously follow the market and invest in stocks. However, the market constantly changes, which will affect the way you invest. If you have always wanted to give investing a shot, this book is for you. A change in the market will automatically affect any stock or currency you invest in, and you need to understand this. Most people want to invest in the stock market to save funds for their retirement.It is important to understand the market and how sensitive it is to some changes. This means the market is volatile. The price of any stock or asset in the market will change because of the regulation change or news event. This shows that any little change can also lead to price volatility. So, what do you do in these situations? Do you still invest in the market, or do you pull out quickly? This book will teach you everything you need to know about investing in the market and protecting your investments.
Surviving the Great Reset
Imagine waking up relaxed and secure in the place where you want to be; your privacy is secure, your belongings and wealth are secure, and your taxes are either zero or practically zero.What a perfect world for the modern person. A perfect world, yes. And completely doable.But how can you achieve this kind of miracle? Easy enough. Flag Theory. Flag Theory is why a growing percentage of the world's population can live this idyllic lifestyle of security, wealth, and privilege. And you can do it as well.
Determinants of Computer Self-Efficacy
The specific research problem was that it is unknown whether computer self-efficacy and usability determine technical readiness in hourly and exempt information technology support employees in the United States. The purpose of this correlational study was to examine the relationship between computer self-efficacy and technical readiness, usability and technical readiness, and computer self-efficacy, usability, and technical readiness in hourly and exempt information technology support employees in the United States. Sociotechnical system theory suggests that every transaction has a human and technical aspect; thus, the theoretical framework
Artificial Intelligence for Science and Engineering Applications
Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision-making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI.This book: Offers a brief history of AI and covers science and engineering applications Explores the modeling of physical phenomena using AI Discusses explainable AI (XAI) applications Covers the ethics of AI in science and engineering Features real-world case studies Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.
Automated Taxonomy Discovery and Exploration
This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today's information era, people are inundated with the vast amounts of text data. Despite their usefulness, people haven't yet exploited the full power of taxonomies due to the heavy curation needed for creating and maintaining them. To bridge this gap, the authors discuss automated taxonomy discovery and exploration, with an emphasis on label-efficient machine learning methods and their real-world usages. Taxonomy organizes entities and concepts in a hierarchy way. It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains. When properly analyzed, these taxonomies can play a vital role for science, engineering, business intelligence, policy design, e-commerce, and more. Intuitive examples are used throughout enabling readers to grasp concepts more easily.
Hci Theory
Theory is the bedrock of many sciences, providing a rigorous method to advance knowledge, through testing and falsifying hypotheses about observable phenomena. To begin with, the nascent field of HCI followed the scientific method borrowing theories from cognitive science to test theories about user performance at the interface. But HCI has emerged as an eclectic interdiscipline rather than a well-defined science. It now covers all aspects of human life, from birth to bereavement, through all manner of computing, from device ecologies to nano-technology. It comes as no surprise that the role of theory in HCI has also greatly expanded from the early days of scientific testing to include other functions such as describing, explaining, critiquing, and as the basis for generating new designs. The book charts the theoretical developments in HCI, both past and present, reflecting on how they have shaped the field. It explores both the rhetoric and the reality: how theories have been conceptualized, what was promised, how they have been used and which has made the most impact in the field -- and the reasons for this. Finally, it looks to the future and asks whether theory will continue to have a role, and, if so, what this might be. Table of Contents: Introduction / The Backdrop to HCI Theory / The Role and Contribution of Theory in HCI / Classical Theories / Modern Theories / Contemporary Theory / Discussion / Summary
Azure Integration Guide for Business
Azure Integration Guide for Business is essential for decision makers planning to transform their business with Microsoft Azure. The Microsoft Azure cloud platform can improve the availability, scalability, and cost-efficiency of any business. The guidance in this book will help decision makers gain valuable insights into proactively managing their applications and infrastructure. You'll learn to apply best practices in Azure Virtual Network and Azure Storage design, ensuring an efficient and secure cloud infrastructure. You'll also discover how to automate Azure through Infrastructure as Code (IaC) and leverage various Azure services to support OLTP applications. Next, you'll explore how to implement Azure offerings for event-driven architectural solutions and serverless applications. Additionally, you'll gain in-depth knowledge on how to develop an automated, secure, and scalable solutions. Core elements of the Azure ecosystem will be discussed in the final chapters of the book, such as big data solutions, cost governance, and best practices to help you optimize your business. By the end of this book, you'll understand what a well-architected Azure solution looks like and how to lead your organization toward a tailored Azure solution that meets your business needs.
CompTIA A＋ Practice Test Core 1 (220-1101)
Test the knowledge you've gained while preparing for the exam through a wide variety of exam-oriented questions from each of the five exam domainsKey Features: Consolidate your knowledge of all the essential CompTIA A+ Core 1 exam topics and key definitionsGet a realistic feel for the test by taking a mock examGain a solid understanding of computer hardware to effectively solve a scenarioBook Description: CompTIA A+ certification is a trusted credential that's highly sought after by professionals looking to prove their mettle in today's digital world. This book will provide you with exam-oriented practice material mirroring the A+ exam's level of difficulty to prepare you for every challenge that the exam might throw at you.This book is a compilation of hundreds of carefully curated practice questions on each domain, including mobile devices, networking, hardware, virtualization and cloud computing, as well as hardware and network troubleshooting. The realistic tests are designed in a way to help you accelerate your preparation to achieve the industry-celebrated A+ certification.By the end of this practice book, you'll be well-prepared to pass the CompTIA A+ Core 1 (220-1101) exam with confidence.What You Will Learn: Install and configure laptop hardware and componentsCompare and contrast common networking hardware and protocols for wireless networkingSelect and install storage devicesDeploy and configure multifunction devices/printers and settingsTroubleshoot problems related to motherboards, RAM, CPU, and powerSummarize aspects of client-side virtualization and cloud computing conceptsWho this book is for: This practice test book is for students and working professionals looking to pass the CompTIA A+ Core 1 (220-1101) exam who have already completed studying for this exam. The purpose of this book is not to teach you theory, but to check if you've retained the information that you've studied and if you're ready to pass the exam.
Algorithmic Gold
In "Algorithmic Gold: The New Billionaires of X Social Media," readers are given an insider's view into the seismic shifts occurring in the digital landscape. Bought and transformed by Elon Musk, X is not just a social media platform; it's a revolutionary ecosystem that's creating new paradigms for online engagement and wealth creation. Through a blend of in-depth analysis, case studies, and actionable strategies, this book serves as the definitive guide for anyone looking to capitalize on the X revolution.Structured into nine compelling sections, the book navigates you through the labyrinthine avenues of this digital revolution. It explains X's revolutionary anti-bot subscription model and dives deep into its ground-breaking algorithmic revenue model based on impressions. From mastering the art of content monetization, understanding the dynamics of 'blue ticks, ' to navigating the complexities of shadow banning, this book equips you with the insights to leverage the platform to its fullest.Beyond X, the book broadens its scope to discuss how other disruptive technologies, like cryptocurrency and artificial intelligence, are converging to redefine traditional career paths, wealth, and unprecedented economic opportunities. With special focus on Ethereum, XRP, and Dogecoin, it offers a critical analysis of the evolving crypto space, discussing the superior advantages of these digital currencies over Bitcoin.The future of work through the lens of AI is also given a dedicated focus, illuminating how innovations like ghost-writing 2.0 and AI-powered tools such as Co-Pilot are not only transforming industries but also creating new avenues for economic growth.Whether you're a content creator, an entrepreneur, or simply someone interested in leveraging the disruptive power of X, cryptocurrencies, and AI, "Algorithmic Gold" equips you with the knowledge, strategies, and tools to navigate this rapidly evolving digital landscape. Your roadmap to algorithmic gold starts here
Blockchain and Artificial Intelligence Technologies for Smart Energy Systems
Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis. At the same time, we are witnessing the sharp growth of energy data and a revolution of advanced technologies, with artificial intelligence (AI) and Blockchain emerging as two of the most transformative technologies of our time. The convergence of these two technologies has the potential to create a paradigm shift in the energy sector, enabling the development of smart energy systems that are more resilient, efficient, and sustainable.This book situates itself at the forefront of this paradigm shift, providing a timely and comprehensive guide to AI and Blockchain technologies in the energy system. Moving from an introduction to the basic concepts of smart energy systems, this book proceeds to examine the key challenges facing the energy system, and how AI and Blockchain can be used to address these challenges. Research examples are presented to showcase the role and impact of these new technologies, while the latest developed testbeds are summarised and explained to help researchers accelerate their development of these technologies.This book is an indispensable guide to the current changes in the energy system, being of particular use to industry professionals, from researchers to management, looking to stay ahead of technological developments.
Artificial Intelligence and National Security
This book analyses the implications of the technical, legal, ethical and privacy challenges as well as challenges for human rights and civil liberties regarding Artificial Intelligence (AI) and National Security. It also offers solutions that can be adopted to mitigate or eradicate these challenges wherever possible.As a general-purpose, dual-use technology, AI can be deployed for both good and evil. The use of AI is increasingly becoming of paramount importance to the government's mission to keep their nations safe. However, the design, development and use of AI for national security poses a wide range of legal, ethical, moral and privacy challenges. This book explores national security uses for Artificial Intelligence (AI) in Western Democracies and its malicious use. This book also investigates the legal, political, ethical, moral, privacy and human rights implications of the national security uses of AI in the aforementioned democracies. It illustrates how AI for national security purposes could threaten most individual fundamental rights, and how the use of AI in digital policing could undermine user human rights and privacy. In relation to its examination of the adversarial uses of AI, this book discusses how certain countries utilise AI to launch disinformation attacks by automating the creation of false or misleading information to subvert public discourse. With regards to the potential of AI for national security purposes, this book investigates how AI could be utilized in content moderation to counter violent extremism on social media platforms. It also discusses the current practices in using AI in managing Big Data Analytics demands. This book provides a reference point for researchers and advanced-level students studying or working in the fields of Cyber Security, Artificial Intelligence, Social Sciences, Network Security as well as Law and Criminology. Professionals working within these related fields and law enforcement employees will also find this book valuable as a reference.
Learning Microsoft Power Automate
Processing information efficiently is critical to the successful operation of modern organizations. One particularly helpful tool is Microsoft Power Automate, a low-code/no-code development platform designed to help tech-savvy users create and implement workflows. This practical book explains how small-business and enterprise users can replace manual work that takes days with an automated process you can set up in a few hours using Power Automate. Paul Papanek Stork, principal architect at Don't Pa..Panic Consulting, provides a concise yet comprehensive overview of the foundational skills required to understand and work with Power Automate. You'll learn how to use these workflows, or flows, to automate repetitive tasks or complete business processes without manual intervention. Whether you're transferring form responses to a list, managing document approvals, sending automatic reminders for overdue tasks, or archiving emails and attachments, these skills will help you: Design and build flows with templates or from scratch Select triggers and actions to automate a process Add actions to a flow to retrieve and process information Use functions to transform information Control the logic of a process using conditional actions, loops, or parallel branches Implement error checking to avoid potential problems
Advanced Computing, Machine Learning, Robotics and Internet Technologies
This two-volume set constitutes selected papers presented during the First International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, held in Silchar, India, in March 2023.The 20 full papers and 27 short papers presented were thoroughly reviewed and selected from 110 submissions. They cover the following topics: artificial intelligence, machine learning, natural language processing, image processing, data science, soft computing techniques, computer networks and security, computer architecture and algorithms.
Limits of AI - Theoretical, Practical, Ethical
Artificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase of symbolic AI, AI focused on formal programs (e.g., expert systems), in which rule-based knowledge was processed with the help of symbolic logic. Today, AI is dominated by statistics-based machine learning methods and Big Data. While this sub-symbolic AI is extremely successful (e.g., chatbots like ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable.
Your PGCME
Postgraduate Certificate in Medical Education (PGCME) is a postgraduate qualification that prepares healthcare professionals to teach and train others. This book is an introductory guide to the PGCME, covering the basic skills and knowledge you need to know, using the best available techniques to engage your learning. The author has used AI to generate and refine the content of the book, sharing insights and experiences with the reader along the way. This makes the book more than just a textbook; it's an experiment in using AI to learn. Whether you're new to the PGCME, teaching it, or simply want to understand how AI can boost learning, this book is an essential resource.
The Year in Tech, 2024: The Insights You Need from Harvard Business Review
A year of HBR's essential thinking on tech--all in one place.Generative AI, Web3, neurotech, reusable rockets to power the space economy--new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating--and avoid falling victim to disruption?The Year in Tech 2024: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.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.
Immersive Learning Research Network
This volume constitutes the refereed proceedings of the 9th International Conference of the Immersive Learning Network, iLRN 2023, held in San Luis Obispo, USA, in June 2023 as a hybrid event.The 26 revised full papers and 13 shprt papers presented in this volume were carefully reviewed and selected from 110 submissions. The papers are organized in topical sections on foundations in immersive learning research and theory; assessment and evaluation; galleries, libraries, archives and museums; inclusion, diversity, equity, access, and social justice; STEM education; language, culture and heritage; nature & environmental sciences; workforce development & industry training; self and co-regulated learning with immersive learning environments; special track: immersive learning across Latin America: state of research, use cases and projects.
Systematic Innovation Partnerships with Artificial Intelligence and Information Technology
This book constitutes the refereed proceedings of the 22nd International TRIZ Future Conference on Automated Invention for Smart Industries, TFC 2022, which took place in Warsaw, Poland, in September 2022; the event was sponsored by IFIP WG 5.4.The 39 full papers presented were carefully reviewed and selected from 43 submissions. They are organized in the following thematic sections: New perspectives of TRIZ; AI in systematic innovation; systematic innovations supporting IT and AI; TRIZ applications; TRIZ education and ecosystem.
Medical Image Computing and Computer Assisted Intervention - Miccai 2023 Workshops
This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops. The papers of the workshops are presenting the topical sections: Eighth International Skin Imaging Collaboration Workshop (ISIC 2023) First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023) Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023) First MICCAI Workshop on Time-Series Data Analytics and Learning First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF) AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023) Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023) Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023)
Computational Diffusion MRI
This book constitutes the proceedings of the 14th International Workshop, CDMRI 2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023. The 17regular papers presented in this book were carefully reviewed and selected from 19 submissions. These contributions cover various aspects, including preprocessing, signal modeling, tractography, bundle segmentation, and clinical applications. Many of these studies employ novel machine learning implementations, highlighting the evolving landscape of techniques beyond the more traditional physics-based algorithms.
Advanced Computing, Machine Learning, Robotics and Internet Technologies
This two-volume set constitutes selected papers presented during the First International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, held in Silchar, India, in March 2023.The 20 full papers and 27 short papers presented were thoroughly reviewed and selected from 110 submissions. They cover the following topics: artificial intelligence, machine learning, natural language processing, image processing, data science, soft computing techniques, computer networks and security, computer architecture and algorithms.
Humanizing Artificial Intelligence
What does humankind expect from AI? What kind of relationship between man and intelligent machine are we aiming for? Does an AI need to be able to recognize human unconscious dynamics to act for the "best" of humans--that "best" that not even humans can clearly define? Humanizing AI analyses AI and its numerous applications from a psychoanalytical point of view to answer these questions. This important, interdisciplinary contribution to the social sciences, as applied to AI, shows that reflecting on AI means reflecting on the human psyche and personality; therefore conceiving AI as a process of deconstruction and reconstruction of human identity. AI gives rise to processes of identification and de-identification that are not simply extensions of human identities--as post-humanist or trans-humanist approaches believe--but completely new forms of identification. Humanizing AI will benefit a broad audience: undergraduates, postgraduates and teachers in sociology, social theory, science and technology studies, cultural studies, philosophy, social psychology, and international relations. It will also appeal to programmers, software designers, students, and professionals in the sciences.
A Developer’s Guide to .NET in Azure
Develop cloud-native applications using serverless technologies, Azure services, and .NET with the help of this reference guideKey FeaturesCreate cloud-native .NET applications using cutting-edge technologiesDesign, develop, and deploy scalable, manageable, and resilient apps with various Azure servicesExplore serverless architecture and optimize application scalability through efficient designPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionA Developer's Guide to .NET in Azure helps you embark on a transformative journey through Microsoft Azure that is tailored to .NET developers. This book is a curated compendium that'll enable you to master the creation of resilient, scalable, and highly available applications.The book is divided into four parts, with Part 1 demystifying Azure for you and emphasizing the portal's utility and seamless integration. The chapters in this section help you configure your workspace for optimal Azure synergy. You'll then move on to Part 2, where you'll explore serverless computing, microservices, containerization, Dapr, and Azure Kubernetes Service for scalability, and build pragmatic, cost-effective applications using Azure Functions and Container apps. Part 3 delves into data and storage, showing you how to utilize Azure Blob Storage for unstructured data, Azure SQL Database for structured data, and Azure Cosmos DB for document-oriented data. The final part teaches you about messaging and security, utilizing Azure App Configuration, Event Hubs, Service Bus, Key Vault, and Azure AD B2C for robust, secure applications.By the end of this book, you'll have mastered Azure's responsive infrastructure for exceptional applications.What you will learnDiscover how to create serverless apps and servicesDesign microservices with Azure Kubernetes serviceGet to grips with different Azure databases and storage servicesFind out how to use secret and configuration managementFamiliarize yourself with event-driven architectureUnderstand how to leverage Azure Service Bus and Azure Event HubsFind out how to protect APIs and apps using Azure B2CWho this book is forThis book is for .NET developers and architects who are eager to master the art of creating and deploying robust applications using .NET and Azure. A foundational understanding of .NET and Azure will enable you to enhance your skills with this resourceful guide. Developers aspiring to explore the realms of microservices and serverless applications within the .NET and Azure landscapes will find this book invaluable.Table of ContentsSetting Up Your Development EnvironmentCreating Docker Containers on AzureBuilding Resilient Applications with DaprDesigning Microservices with AKS and Containers in AzureBuilding Serverless Apps with Azure Functions and Container AppsExploring Azure Blob StorageCreating an Azure SQL DatabaseCreating Documents via .NET for Azure Cosmos DBUtilizing Azure App ConfigurationProcessing Data with Azure Event HubsDesigning Ready-Made Solutions with Azure Service BusEnhancing Data Protection with Azure Key VaultManaging Access with Azure Active Directory B2C
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers and 9 short papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Human-Centered AI
Artificial intelligence (AI) permeates our lives in a growing number of ways. Relying solely on traditional, technology-driven approaches won't suffice to develop and deploy that technology in a way that truly enhances human experience. A new concept is desperately needed to reach that goal. That concept is Human-Centered AI (HCAI).With 29 captivating chapters, this book delves deep into the realm of HCAI. In Section I, it demystifies HCAI, exploring cutting-edge trends and approaches in its study, including the moral landscape of Large Language Models. Section II looks at how HCAI is viewed in different institutions--like the justice system, health system, and higher education--and how it could affect them. It examines how crafting HCAI could lead to better work. Section III offers practical insights and successful strategies to transform HCAI from theory to reality, for example, studying how using regulatory sandboxes could ensure the development of age-appropriate AI for kids. Finally, decision-makers and practitioners provide invaluable perspectives throughout the book, showcasing the real-world significance of its articles beyond academia.Authored by experts from a variety of backgrounds, sectors, disciplines, and countries, this engaging book offers a fascinating exploration of Human-Centered AI. Whether you're new to the subject or not, a decision-maker, a practitioner or simply an AI user, this book will help you gain a better understanding of HCAI's impact on our societies, and of why and how AI should really be developed and deployed in a human-centered future.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Advances in Computational Collective Intelligence
This book constitutes the refereed proceedings of the 15th International Conference on Advances in Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27-29, 2023.The 59 full papers included in this book were carefully reviewed and selected from 218 submissions. They were organized in topical sections as follows: Collective Intelligence and Collective Decision-Making, Deep Learning Techniques, Natural Language Processing, Data Minning and Machine learning, Social Networks and Speek Communication, Cybersecurity and Internet of Things, Cooperative Strategies for Decision Making and Optimization, Digital Content Understanding and Apllication for Industry 4.0 and Computational Intelligence in Medical Applications.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers and 9 short papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Artificial Neural Networks and Machine Learning - Icann 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Terraform Cookbook - Second Edition
Explore how to provision, manage, and scale your infrastructure using Infrastructure as Code (IaC) with TerraformPurchase of the print or Kindle book includes a free PDF eBookKey Features: Get up and running with the latest version of Terraform (v1+) CLIDiscover how to deploy Kubernetes resources with TerraformLearn how to troubleshoot common Terraform issuesBook Description: HashiCorp Configuration Language (HCL) has changed how we define and provision data center infrastructure with the launch of Terraform - a top-tier product for building Infrastructure as Code (IaC). Terraform Cookbook shows you how to leverage Terraform to manage complex cloud infrastructure with ease.This new edition has been updated to include real-world examples for provisioning Cloud infrastructure(mainly for Azure, but also a dedicated chapter for AWS and GCP) with Terraform. You'll delve into manual and automated testing with Terraform configurations, creating and managing a balanced, efficient, reusable infrastructure with Terraform modules. You'll learn how to automate the deployment of Terraform configuration with continuous integration and continuous delivery (CI/CD). Besides, several new chapters have been added that describe the use of Terraform for Docker and Kubernetes, and explain how to test Terraform configurations using different tools to check code and security compliance. A complete chapter is dedicated to mastering Terraform Cloud and the latest chapter covers troubleshooting common Terraform issues and provides solutions for frequently encountered errors.By the end of this book, you'll have developed the skills needed to get the most value out of Terraform and to effectively manage your infrastructure.What You Will Learn: WriteTerraform configuration to provision cloud and Kubernetes infrastructure using IaC best practicesUse the Terraform command line adapted to appropriate use casesAutomate the deployment of Terraform configurationDiscover manipulation of the Terraform StateUncover IaC for developers with the CDKTF Cloud Development Kit for TerraformAdd and apply test rules and compliance security in Terraform configurationUse Terraform Cloud to improve Team collaboration around Terraform provisioningExplore debugging and troubleshooting common Terraform errorsWho this book is for: This book is for developers, operators, and DevOps engineers looking to improve their workflow and use Infrastructure as Code. Experience with Microsoft Azure, Jenkins, shell scripting, and DevOps practices is required to get the most out of this Terraform book.
The Roles and Modes of Human Interactions with Automated Machine Learning Systems
Recent years have seen an unprecedented level of technological uptake and engagement by the mainstream. From deepfakes for memes to recommendation systems for commerce, machine learning (ML) has become a regular fixture in society. This ongoing transition from purely academic confines to the general public is not smooth as the public does not have the extensive expertise in data science required to fully exploit the capabilities of ML. As automated machine learning (AutoML) systems continue to progress in both sophistication and performance, it becomes important to understand the 'how' and 'why' of human-computer interaction (HCI) within these frameworks. This is necessary for optimal system design and leveraging advanced data-processing capabilities to support decision-making involving humans. It is also key to identifying the opportunities and risks presented by ever-increasing levels of machine autonomy. In this monograph, the authors focus on the following questions: (i) What does HCI currently look like for state-of-the-art AutoML algorithms? (ii) Do the expectations of HCI within AutoML frameworks vary for different types of users and stakeholders? (iii) How can HCI be managed so that AutoML solutions acquire human trust and broad acceptance? (iv) As AutoML systems become more autonomous and capable of learning from complex open-ended environments, will the fundamental nature of HCI evolve? To consider these questions, the authors project existing literature in HCI into the space of AutoML and review topics such as user-interface design, human-bias mitigation, and trust in artificial intelligence (AI). Additionally, to rigorously gauge the future of HCI, they contemplate how AutoML may manifest in effectively open-ended environments. Ultimately, this review serves to identify key research directions aimed at better facilitating the roles and modes of human interactions with both current and future AutoML systems.
Authoritarian Journalism
Journalists working in authoritarian countries contend with competing institutional logics. This is particularly the case in post-conflict countries, where journalistic practice is simultaneously shaped by historical antagonisms, global development initiatives, and the authoritarian state. While journalism schools and professional organizations speak a Western logic of objectivity and independence, political history instills a logic of subordination, and organizational business models instill a logic of financially motivated censorship. As more countries move away from democratic models, more and more journalists will face these seemingly irreconcilable pressures. Building on months of ethnographic work, Ruth Moon looks at journalistic practice in Rwanda, a country where journalism has developed into a stable field in the two and a half decades since the nation's 1994 genocide. At the same time, its journalists, facing pressure to please the State, have lost confidence in themselves, and readers have lost faith in local media. Can the nation's news media reinvigorate itself, either from within or with assistance from global journalism actors? This book examines journalism practice in Rwanda to draw conclusions applicable to journalism fields everywhere. Moon argues that not only is the force of globalization inadequate to shift local practice, but it in fact serves to reinforce local practices and boundaries.
AI Morality
A philosophical task force explores how AI is revolutionizing our lives - and what moral problems it might bring, showing us what to be wary of, and what to be hopeful for. There is no more important issue at present than artificial intelligence. AI has begun to penetrate almost every sphere of human activity. It will disrupt our lives entirely. David Edmonds brings together a team of leading philosophers to explore some of the urgent moral concerns we should have about this revolution. The chapters are rich with examples from contemporary society and imaginative projections of the future. The contributors investigate problems we're all aware of, and introduce some that will be new to many readers. They discuss self and identity, health and insurance, politics and manipulation, the environment, work, law, policing, and defence. Each of them explains the issue in a lively and illuminating way, and takes a view about how we should think and act in response. Anyone who is wondering what ethical challenges the future holds for us can start here.
