How the Body Shapes the Way We Think
An exploration of embodied intelligence and its implications points toward a theory of intelligence in general; with case studies of intelligent systems in ubiquitous computing, business and management, human memory, and robotics.How could the body influence our thinking when it seems obvious that the brain controls the body? In How the Body Shapes the Way We Think, Rolf Pfeifer and Josh Bongard demonstrate that thought is not independent of the body but is tightly constrained, and at the same time enabled, by it. They argue that the kinds of thoughts we are capable of have their foundation in our embodiment--in our morphology and the material properties of our bodies.This crucial notion of embodiment underlies fundamental changes in the field of artificial intelligence over the past two decades, and Pfeifer and Bongard use the basic methodology of artificial intelligence--"understanding by building"--to describe their insights. If we understand how to design and build intelligent systems, they reason, we will better understand intelligence in general. In accessible, nontechnical language, and using many examples, they introduce the basic concepts by building on recent developments in robotics, biology, neuroscience, and psychology to outline a possible theory of intelligence. They illustrate applications of such a theory in ubiquitous computing, business and management, and the psychology of human memory. Embodied intelligence, as described by Pfeifer and Bongard, has important implications for our understanding of both natural and artificial intelligence.
Generative Ai: The Insights You Need from Harvard Business Review
The future of AI is here.The world is transfixed by the marvel (and possible menace) of ChatGPT and other generative AI tools. It's clear Gen AI will transform the business landscape, but when and how much remain to be seen. Meanwhile, your smartest competitors are already navigating the risks and reaping the rewards of these new technologies. They're experimenting with new business models around generating text, images, and code at astonishing speed. They're automating customer interactions in ways never before possible. And they're augmenting human creativity in order to innovate faster. How can you take advantage of generative AI and avoid having your business disrupted?Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.
Computational Intelligence and Network Systems
This book constitutes the proceedings of the First International Conference, CINS 2023, held in Dubai, United Arab Emirates, from October 18 to 20, 2023.The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, and the application of these intelligent techniques. The book also addresses several topics pertaining to networks, including security, network data processing, networks that transcend boundaries, device heterogeneity, and advancements in networks connected to the Internet of Things, software-defined networks, cloud computing, and intelligent networks.
Observability with Grafana
Implement the LGTM stack for cost-effective, faster, and secure delivery and management of applications to provide effective infrastructure solutionsKey FeaturesUse personas to better understand the needs and challenges of observability tools usersGet hands-on practice with Grafana and the LGTM stack through real-world examplesImplement and integrate LGTM with AWS, Azure, GCP, Kubernetes and tools such as OpenTelemetry, Ansible, Terraform, and HelmPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionTo overcome application monitoring and observability challenges, Grafana Labs offers a modern, highly scalable, cost-effective Loki, Grafana, Tempo, and Mimir (LGTM) stack along with Prometheus for the collection, visualization, and storage of telemetry data. Beginning with an overview of observability concepts, this book teaches you how to instrument code and monitor systems in practice using standard protocols and Grafana libraries. As you progress, you'll create a free Grafana cloud instance and deploy a demo application to a Kubernetes cluster to delve into the implementation of the LGTM stack. You'll learn how to connect Grafana Cloud to AWS, GCP, and Azure to collect infrastructure data, build interactive dashboards, make use of service level indicators and objectives to produce great alerts, and leverage the AI & ML capabilities to keep your systems healthy. You'll also explore real user monitoring with Faro and performance monitoring with Pyroscope and k6. Advanced concepts like architecting a Grafana installation, using automation and infrastructure as code tools for DevOps processes, troubleshooting strategies, and best practices to avoid common pitfalls will also be covered. After reading this book, you'll be able to use the Grafana stack to deliver amazing operational results for the systems your organization uses.What you will learnUnderstand fundamentals of observability, logs, metrics, and distributed tracesFind out how to instrument an application using Grafana and OpenTelemetryCollect data and monitor cloud, Linux, and Kubernetes platformsBuild queries and visualizations using LogQL, PromQL, and TraceQLManage incidents and alerts using AI-powered incident managementDeploy and monitor CI/CD pipelines to automatically validate the desired resultsTake control of observability costs with powerful in-built featuresArchitect and manage an observability platform using GrafanaWho this book is forIf you're an application developer, a DevOps engineer, a SRE, platform engineer, or a cloud engineer concerned with Day 2+ systems operations, then this book is for you. Product owners and technical leaders wanting to gain visibility of their products in a standardized, easy to implement way will also benefit from this book. A basic understanding of computer systems, cloud computing, cloud platforms, DevOps processes, Docker or Podman, Kubernetes, cloud native, and similar concepts will be useful.Table of ContentsIntroducing Observability and the Grafana StackInstrumenting Applications and InfrastructureSetting Up a Learning Environment with Demo ApplicationsLooking at Logs with Grafana Loki Monitoring with Metrics using Grafana Mimir and PrometheusTracing Technicalities with Grafana TempoInterrogating Infrastructure with Kubernetes, AWS, GCP, and AzureDisplaying Data with DashboardsManaging Incidents using AlertsAutomation with Infrastructure as CodeArchitecting an Observability Platform(N.B. Please use the Look Inside option to see further chapters)
Architecting AWS with Terraform
Accelerate your business growth by employing Terraform for AWS projects with this comprehensive guide packed with practical implementation tips for start-ups, enterprises, and personal projectsKey Features: Learn Terraform on AWS from 12x AWS certified trainerImprove reusability and governance for large-scale Terraform projectsUse infrastructure as code practices to fully automate AWS workloadsPurchase of the print or Kindle book includes a free PDF eBookBook Description: Infrastructure as code (IaC) and Terraform have become essential tools for managing cloud infrastructure and automating deployment processes. Mastering Terraform on AWS presents a step-by-step approach on how to master these tools and build a secure and scalable AWS infrastructure.The book starts with an introduction to patterns and anti-patterns of IaC and Terraform, explaining the common mistakes and pitfalls you must avoid. You'll then learn about the importance of planning and designing infrastructure projects in AWS and making informed decisions for projects in AWS Terraform. You'll find out how to implement Terraform in your projects and deploy serverless projects. Next, you'll be able to deploy containers in AWS with Terraform, exploring the best practices for Terraform IaC projects. You'll understand how you can leverage Terraform for enterprises, build Git workflows for IaC and Terraform projects, and automate deployment of Terraform projects. The last set of chapters will teach you how to govern AWS with Terraform and build a secure infrastructure. Finally, you'll discover how to achieve a perfect AWS infrastructure with Terraform.By the end of this book, you'll have gained a comprehensive understanding of the various aspects of Terraform and IaC, along with the knowledge required to build, manage, and deploy complex infrastructures on AWS.What You Will Learn: Get to grips with Terraform frameworks and best practicesUse Terraform providers and modulesDevelop your first AWS resource in TerraformBuild an infrastructure project with TerraformGovern an infrastructure project in TerraformDeploy Terraform projects to AWS with CI/CDWho this book is for: This book is for cloud and DevOps engineers, developers, and architects responsible for writing or designing infrastructure as code to deploy resources in AWS. You are expected to have a basic understanding of AWS and should have experience deploying resources through the user interface (UI).
Fraud Investigators
For many years, I went by the name Antoni Muldoon and worked as a professional con artist. I must have stolen more than 瞿100 million from diligent individuals overall. I lost nearly everything I had accumulated when I was inevitably discovered for my crimes and sent to prison. One thing I kept was my awareness of the various con games that con people out of their money on a regular basis. I made the decision to utilise my knowledge to help others avoid falling for the same kinds of scams that I used to run. I'm calling this series of books on various scams the Scam Busters Series, and this one is the first in the series. Every book will walk you through a distinct fraud, so regardless of whether you have been duped This is the first book in the series, and perhaps you will enjoy it and find it helpful if you have ever fallen into the timeshare trap or are about to fall into it.In the inaugural installment of the Scam Busters series, Antoni Muldoon shares his insider knowledge of timeshare frauds. He makes note of what to watch out for and what not to do. This will come in handy should you ever fall victim to a timeshare scam.
Human-Technology Interaction
Digitalization and automation are leading to fundamental changes in the industrial landscape. In the German-speaking countries, this development is often summarized under the term Industry 4.0. Simultaneously, interaction technologies have made huge developments in the last decades. The use of mobile devices and touch screens is ubiquitous, augmented and virtual reality technologies have made their way into the market and new interaction concepts have become established. While new interaction technologies offer new possibilities for organizing or executing work in the context of Industry 4.0, the transformation of industrial processes also creates a need for new work practices. This book sheds light on the interplay of Industry 4.0 and new interaction technologies. It presents selected research articles on the topic of Human-Technology Interaction in the context of Industry 4.0. Researchers from various disciplines present the current state of research with regard to futureinteractions with production environments to develop a common vision of how to design future interactions in the industrial domain. In this context, various topics are covered: a detailed overview on assistive systems for supporting manual work is given, including technological and design aspects as well as implementation strategies. Industrial use-cases for extended reality (XR) technologies such as augmented and virtual reality (AR and VR) are presented, also covering aspects of how to author content in XR environments. The role of new work practices is examined, for example, by presenting concepts of gamification and human-machine teamwork for supporting well-being. Finally, topics of trust and technology acceptance are discussed in the context of Industry 4.0. Given this broad perspective, a vision is sketched of how to design future human-technology interactions in a way that realizes their full technical and human potential.
Modern DevOps Practices - Second Edition
Enhance DevOps workflows by integrating the functionalities of Git, Docker, Kubernetes, Argo CD, Ansible, Terraform, Istio, and more with the help of practical examples and expert tipsKey FeaturesExplore containers as a service (CaaS) and infrastructure automation in the public cloudSecure and ship software continuously to production with DevOps, GitOps, SecOps, and automationOperate distributed and scalable microservices apps in the cloud with a modern service meshPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey.The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you'll explore the core elements of cloud integration-AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery-GitHub actions, Jenkins, and Argo CD-to help you understand the essence of modern app delivery. Later, you'll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you'll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more.By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.What you will learnExplore modern DevOps practices with Git and GitOpsMaster container fundamentals with Docker and KubernetesBecome well versed in AWS ECS, Google Cloud Run, and KnativeDiscover how to efficiently build and manage secure Docker imagesUnderstand continuous integration with Jenkins on Kubernetes and GitHub ActionsGet to grips with using Argo CD for continuous deployment and deliveryManage immutable infrastructure on the cloud with Packer, Terraform, and AnsibleOperate container applications in production using Istio and learn about AI in DevOpsWho this book is forIf you are a software engineer, system administrator, or operations engineer looking to step into the world of DevOps within public cloud platforms, this book is for you. Existing DevOps engineers will also find this book helpful as it covers best practices, tips, and tricks for implementing DevOps with a cloud-native mindset. Although no containerization experience is necessary, a basic understanding of the software development life cycle and delivery will help you get the most out of this book.Table of ContentsThe Modern way of DevOpsSource Code Management with Git and GitOpsContainerization with DockerCreating and Managing Container ImagesContainer Orchestration with KubernetesManaging Advanced Kubernetes ResourcesContainers as a Service (CaaS) and Serverless Computing for ContainersInfrastructure as Code (IaC) with TerraformConfiguration Management with AnsibleImmutable Infrastructure with PackerContinuous Integration with GitHub Actions and JenkinsContinuous Deployment/ Delivery with Argo CD(N.B. Please use the Look Inside option to see further chapters)
The Cloud Computing Journey
Elevate your expertise and gain holistic insights into cloud technology with a focus on smooth transition from on-premises to the cloudKey Features: Analyze cloud architecture in depth, including different layers, components, and design principlesExplore various types of cloud services from AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, and moreImplement best practices and understand the use of various cloud deployment toolsPurchase of the print or Kindle book includes a free PDF eBookBook Description: As the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies.This comprehensive cloud computing guide offers expertise and best practices for evaluating different cloud vendors and tools. Once you've gained a thorough understanding of cloud computing basics, you'll delve deeper into cloud architecture, its design, and implementation. Armed with this expert insight, businesses can avoid costly mistakes, ensure that their cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business.By the end of this book, you'll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.What You Will Learn: Get to grips with the core concepts of cloud architecture and cost optimizationUnderstand the different cloud deployment and service modelsExplore various cloud-related tools and technologiesDiscover cloud migration strategies and best practicesFind out who the major cloud vendors are and what they offerAnalyze the impact and future of cloud technologyWho this book is for: The book is for anyone interested in understanding cloud technology, including business leaders and IT professionals seeking insights into the benefits, challenges, and best practices of cloud computing. Those who are just starting to explore cloud technology, as well as those who are already using cloud technology but want to deepen their understanding and optimize usage will find this resource especially useful.
Generative AI For Business Leaders
2024 Edition. Business leaders must understand how to effectively leverage Generative AI within their companies in order to remain competitive. This book collection offers a fresh, timely viewpoint on this critical topic. Readers will gain foundational knowledge about AI and Generative algorithms while exploring both the potential benefits, risks and ethics involved. Guidance is provided on enhancing an organization's offerings, operating model and strategic direction while mitigating biases and negative consequences.The book collection lays out a comprehensive approach for businesses to successfully adopt and integrate Generative AI technologies. Common errors and challenges that companies face in this relatively new domain are highlighted, along with proven tactics to overcome them and achieve strong results.A comprehensive playbook to unlock the commercial potential of generative AI for managers, directors, executives, governance specialists, and any professionals interested in the intersection of business and emerging technologies.Book: Generative AI Transformation BlueprintDrawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined.Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap.Book: Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and HypeFinalist for the 2023 HARVEY CHUTE Book Awards recognizing emerging talent and outstanding works in the genre of Business and Enterprise Non-Fiction.Explore the transformative potential of technologies like GPT-4 and Claude 2. These large language models (LLMs) promise to reshape how businesses operate. Aimed at non-technical business leaders, this guide offers a pragmatic approach to leveraging LLMs for tangible benefits, while ensuring ethical considerations aren't sidelined.LLMs can refine processes in marketing, software development, HR, R&D, customer service, and even legal operations. But it's essential to approach them with a balanced view. In this guide, you'll: Learn about the rapid advancements of LLMs.Understand complex concepts in simple terms.Discover practical business applications.Get strategies for smooth integration.Assess potential impacts on your team.Delve into the ethics of deploying LLMs.Book: Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AIThe perfect guide to help non-technical business leaders understand the power of AI: Machine Learning, Neural Networks, and Data Management. Up to date with Generative AI.More Than a Book CollectionBy purchasing this series, you will also be granted free access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion.You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion.
Progress in Artificial Intelligence
The two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023.The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent Systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies.
Progress in Artificial Intelligence
The two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023.The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies.
Internet of Things of Big Data for Healthcare
This book constitutes the 5th International Workshop, IoTBDH 2023, held in Birmingham, UK, during October 21-25, 2023.The 7 full papers and 4 short papers included in this volume were carefully reviewed and selected from 33 submissions. They focus on the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.
Artificial Intelligence Security and Privacy
This two-volume set LNCS 14509-14510, constitutes the refereed proceedings of the First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, held in Guangzhou, China, during December 3-5, 2023.The 40 regular papers and 23 workshop papers presented in this two-volume set were carefully reviewed and selected from 115 submissions. Topics of interest include, e.g., attacks and defence on AI systems; adversarial learning; privacy-preserving data mining; differential privacy; trustworthy AI; AI fairness; AI interpretability; cryptography for AI; security applications.
Artificial Intelligence Ethics and International Law - 2nd Edition
Dive into the dynamic realm of AI governance with this groundbreaking book. Offering cutting-edge insights, it explores the intricate intersection of artificial intelligence and international law. Readers gain invaluable perspectives on navigating the evolving AI landscape, understanding global legal dynamics, and delving into the nuances of responsible AI governance. Packed with pragmatic approaches, the book is an essential guide for professionals, policymakers, and scholars seeking a comprehensive understanding of the multifaceted challenges and opportunities presented by AI in the global legal arena. The book begins by examining the fundamental concepts of AI ethics and its recognition within international law. It then delves into the challenges of governing AI in a rapidly evolving technological landscape, highlighting the need for pragmatic and flexible approaches to AI regulation. Subsequent chapters explore the diverse perspectives on AI classification and recognition, from legal visibility frameworks to the ISAIL Classifications of Artificial Intelligence.
Chatgpt for Beginners
If you're a complete newbie who's wondering exactly what ChatGPT is, what is does, and how it can be a valuable resource for non-coders, this is the book for you. With a comprehensive exploration of ChatGPT's features, foundations, and applications, this guide will serve as a valuable resource for beginners venturing into the world of conversational AI. ChatGPT for Beginners has four parts. Part one provides a step-by-step introduction to using ChatGPT, from accessing the OpenAI website and creating an account to starting conversations, changing responses, and getting conversation summaries. Part two delves into the foundations of the large language model that powers ChatGPT. It covers topics such as the definition of ChatGPT, its knowledge domains, the basics of natural language processing, machine learning techniques applied to language processing, and the role of neural networks in ChatGPT's operation. Part three covers a wide range of practical applications, from letter writing to business content creation, text translation, language learning, recruitment processes, artistic content creation, and fostering innovation and creativity. Part four examines the strengths and limitations of ChatGPT, addressing ethical considerations related to data security, bias, and partiality. It also delves into the future advancements and challenges that lie ahead for ChatGPT, providing insights into the developing landscape of conversational AI. After completing this book, you will be able to harness the full potential of ChatGPT. Whether you are a student, professional, or are just curious about the capabilities of this AI technology, this book will serve as your essential companion in unlocking the possibilities of ChatGPT. What You Will Learn Access ChatGPT, create an account, and initiate conversations Understand what ChatGPT is, its knowledge domains, and how it works through natural language processing, machine learning, and neural networks Ask relevant questions to ChatGPT, and obtain quality responses Manage the degree of randomness in the responses using parameters such as temperature, frequency, and presence Who This Book Is For Students, professionals, and anyone else curious about the capabilities of ChatGPT.
The Art of Reinforcement Learning
Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting-edge technology. Beginning with an overview of fundamental concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, and temporal difference learning, this book uses clear and concise examples to explain the basics of RL theory. The following section covers value function approximation, a critical technique in RL, and explores various policy approximations such as policy gradient methods and advanced algorithms like Proximal Policy Optimization (PPO). This book also delves into advanced topics, including distributed reinforcement learning, curiosity-driven exploration, and the famous AlphaZero algorithm, providing readers with a detailed account of these cutting-edge techniques. With a focus on explaining algorithms and the intuition behind them, The Art of Reinforcement Learning includes practical source code examples that you can use to implement RL algorithms. Upon completing this book, you will have a deep understanding of the concepts, mathematics, and algorithms behind reinforcement learning, making it an essential resource for AI practitioners, researchers, and students. What You Will Learn Grasp fundamental concepts and distinguishing features of reinforcement learning, including how it differs from other AI and non-interactive machine learning approachesModel problems as Markov decision processes, and how to evaluate and optimize policies using dynamic programming, Monte Carlo methods, and temporal difference learningUtilize techniques for approximating value functions and policies, including linear and nonlinear value function approximation and policy gradient methodsUnderstand the architecture and advantages of distributed reinforcement learningMaster the concept of curiosity-driven exploration and how it can be leveraged to improve reinforcement learning agentsExplore the AlphaZero algorithm and how it was able to beat professional Go players Who This Book Is For Machine learning engineers, data scientists, software engineers, and developers who want to incorporate reinforcement learning algorithms into their projects and applications.
Artificial Intelligence and Human Evolution
This book explores, from a high level, the parallels between the evolution of humans and the evolution of machines. The book reviews practical questions about the future of AI but also engages in philosophical discussions about what machine intelligence could mean for the human experience.The book focuses on what is intelligence and what separates intelligent species from non-so-intelligent ones. It concludes this section with the description of true nature of humanintelligence can be. We discuss how we looked at machines few hundred years back and how their definition and the expectations from them has changed over time. We will consider when and how machines became intelligent and then explore in depth he latest developments in artificial intelligence with explanation of deep learning technology and humanlike chat interface provided with products like ChatGPT. We will define both human intelligence and artificial intelligence and the distinction between the two.In the third and final section of the book, we will focus on near- and longer-term futures with widespread use of machine intelligence, making the whole ambient environment that we will live in intelligent How is this going to change human lives, and what parts of human life will be encroached with machines and their intelligence? We will explore how the job market will look with some jobs being taken by machines, and if this is overall a positive or negative change. What You Will LearnHow human intelligence is connected with artificial intelligence as well as the differencesHow AI is going to change our lives in the coming years, decades and centuriesAn explanation of deep learning technology and humanlike chat interface provided with products like ChatGPTWho This Book is ForReaders looking to contextualize the evolution of artificial intelligence in human history
Getting Started with Chatgpt and AI Chatbots
Learn how to use ChatGPT, Bing Chat / Copilot, and Gemini (Bard) to get the most out of these powerful tools. ChatGPT has become a tool hundreds of millions use every day - yet few have mastered the art of sweet-talking these new AI chatbots into providing detailed and accurate responses to user prompts. It's vital for every professional tech user to have an understanding of how AI chatbots work, and how best to put them to work. While the fear is that AI will take people's jobs, it is more likely to be someone using AI that will! Getting Started with ChatGPT and AI Chatbots explores the 'big three' AI chatbots - OpenAI ChatGPT, Microsoft / Windows Copilot and Google Gemini (Bard) - demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools. Whether you're a business user, a tech student, or a curious professional, this book is for you to understand and demystify Large Language Models (LLMs) and generative AI tools, harnessing them to enhance your role.
More Than a Chatbot
Recent technological advances have resulted in a new generation of powerful text processing and generation tools, that produce text very similar to what a human could do. Such tools have the potential to change the way we work, learn and teach - and this book enables you to understand and be part of this exciting development. Did you wonder how tools like ChatGPT or Bard work, but do not have a technical background? Then this is the right book for you! To discuss and better understand what such technologies are capable of and how this will impact our lives and our society, a basic background knowledge about text processing and generation technologies is required. In particular, the book discusses the following questions: How did the field of automated text processing and generation evolve over the last years, and what happened to allow the incredible recent advances? Are chatbots such as ChatGPT or Bard truly understanding humans? What pitfalls exist and how are stereotypesof the society reflected in such models? What is the potential of such technology, and how will the digital society of the future look like in terms of human-chatbot-collaboration? The book is aimed for a general audience, briefly explaining mathematical or technical background when necessary. After having read this book, you will be confident to participate in public discussions about how this new generation of language models will impact society. You will be aware of the risks and pitfalls these technologies can bring along, and how to deal responsibly when making use of tools built from AI technology in general.
After Latour: Globalisation, Inequity and Climate Change
This book constitutes the refereed proceedings of the IFIP WG 8.2 and WG 9.4 Joint Working Conference on After Latour: Globalisation, Inequity and Climate Change, IFIPJWC 2023, held in Hyderabad, India, during December 7-8, 2023. The 15 full papers presented together with 13 short papers were carefully reviewed and selected from 60 submissions. They are organized in topical sections as follows: climate change and digital sustainability; ICT's and sustainable development; IS in the education sector; privacy, trust, and surveillance; theories and methods.
Machine Learning Methods
This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis. As a fundamental book on machine learning, it addresses the needs of researchers and students who apply machine learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into machine learning.
Learning Airtable
Get a concise yet comprehensive overview of Airtable, one of the most versatile platforms to emerge from the no-code movement. Whether you're planning a new project, sharing data analysis within your organization, tracking a detailed initiative among stakeholders, or dealing with any other project that requires well-structured collaboration, this practical book shows you how Airtable is an accessible tool to tackle these challenges. Author Elliott Adams guides you through the process of structuring your data in a relational database, creating automations based on changes to data in Airtable, and building user-friendly interfaces for no-code applications. This showcases how Airtable is superior to the typical options of either non-developers using spreadsheets or making large investments in time-consuming application development. With this book, you will: Learn how Airtable can reduce the need for custom-built applications Use Airtable to replace internal tools such as spreadsheets Build applications utilizing relational data--without any knowledge of software programming Evaluate whether you can build a solution on Airtable rather than purchasing software Understand the limitations of the Airtable platform when compared with writing a software application from scratch
Procedural Content Generation Via Machine Learning
This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). Machine learning is having a major impact on many industries, including the video game industry. PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content. The authors illustrate how PCGML is poised to transform the video games industry and provide the first ever beginner-focused guide to PCGML. This book features an accessible introduction to machine learning topics, and readers will gain a broad understanding of currently employed PCGML approaches in academia and industry. The authors provide guidance on how best to set up a PCGML project and identify open problems appropriate for a research project or thesis. This book is written with machine learning and games novices in mind and includes discussions of practical and ethical considerations along with resources and guidance for starting a new PCGML project.
Assistants Virtual
Does your business run you, or are you running your business?The book Virtual Assistant Assistant is perfect for business owners who want to grow their company to new heights. There is a remedy if you've ever found yourself thinking there simply aren't enough hours in the day. It also won't force you into bankruptcy. In essence, virtual assistants are contractors that work from home for your company.This book tells you everything you need to know about virtual assistants, including: - Where to find the best ones- How to hire them- Best practices for working with them on an ongoing basisIt's written from firsthand experience, NOT theoretical or academic fluff. You'll discover how hiring a skilled virtual assistant can help you avoid wasting time, money, or headaches. Learn how to efficiently outsource your non-essential duties and take charge of your entrepreneurial life. You'll have hours each day to devote to what matters most.Virtual assistants can ultimately make your life happier, healthier, more productive, and stress-free. Many of the day-to-day tasks can be delegated, and in my opinion, they should be. This will free you up to work on the more important, strategic, and financially rewarding tasks that are sometimes overlooked. Our most valuable resource is time. However, we also waste this resource the fastest. Even though you might not immediately adopt a 4-hour workweek, this book will provide you with useful guidance.
Engines of Engagement - A Curious Book about Generative AI
In this illustrated book, Julian Stodd, Sae Schatz, and Geoff Stead explore central questions that Generative AI raises within our organisations, from structures and systems to identity, trust, and the nature of truth.Engines of Engagement traverses a broad landscape of change, with deep consideration of how these powerful systems will impact our familiar mechanisms of creativity and productivity, artistry and education at individual, organisational, and societal levels.Generative AI technologies act as our new Engines: things that give us evolved forms of power and surface emergent abilities; things capable of driving prolific change but that also spew out significant uncertainty, discomfort, ambiguity, and risk.This discussion considers how we arrived at where we stand today, and it explores the varied paths that lie ahead, littered as they are with ethical, social, and technical hurdles.It's a book intended for leaders who hold a responsibility to set aside their certainty and to forge a path of curiosity. This isn't a guide to 'prompt engineering' nor will it give easy answers. Rather, through the authors' three respective lenses, and with contributions from thoughtful and provocative guests, we've sought to set a stage for debate, discovery, and perhaps even inspiration.
A Brief History of Intelligence
This book introduces a variety of intelligence phenomena starting from the birth of the universe, including intelligence in physics, intelligence in chemistry, intelligence in biology, intelligence in humans and intelligence in machines. It uncovers the mystery of intelligence to the world and explores the natural phenomenon of intelligence. If understanding intelligence is regarded as a journey of a thousand miles, then this book is the first step to try. In the process of studying the phenomenon of intelligence and the nature of intelligence, our eyes cannot be limited to human intelligence. Instead, one should put our vision beyond human intelligence, consider different things in the universe, reach a new level, and study and explore the phenomenon of intelligence and the essence of intelligence on a new level.By looking at the various phenomena of intelligence since the birth of the universe, readers can see that intelligence is a natural phenomenon, similar to other naturalphenomena (e.g., the rolling of rocks and the melting of snow and ice). These phenomena occur to facilitate the stability of the universe, and the phenomenon of intelligence is no exception. The book is divided into 10 chapters, covering matter, energy and space in the origin of the universe, gravity in physics, the principle of least action, dissipative structures in chemistry, entropy increase, maximum entropy production, the definition of life, the emergence of life, the intelligence in plants, the intelligence in animals, the neocortex structure of the brain, the special thinking of human beings, the theory of the brain, artificial intelligence symbolism, connectionism, behaviorism, artificial general intelligence, metaverse, etc.This book can be used as a reference for students and researchers working in the artificial intelligence areas. It is also positioned as a popular science book interested in intelligent phenomena.
Learn Azure Administration - Second Edition
Build cloud infrastructure expertise by elevating your Azure admin skills, mastering core services, and boosting productivity with helpful toolsKey Features: Learn about infrastructure as code, deploy resources with ARM templates, and migrate to Azure BicepDeploy Azure Policy and explore ideas for implementing policies based on real-world scenariosUnderstand the structure and hierarchy of Azure resources and Azure subscriptions and the authorization and authentication mechanismBook Description: Complete with the latest advancements in Azure services, this second edition of Learn Azure Administration is a comprehensive guide to scaling your cloud administration skills, offering an updated exploration of Azure fundamentals and delving into the intricacies of Azure Resource Manager and Azure Active Directory.Starting with infrastructure as code (IaC) basics, this book guides you through the seamless migration to Azure Bicep and ARM templates. From Azure virtual networks planning to deployment, you'll get to grips with the complexities of Azure Load Balancer, virtual machines, and configuring essential virtual machine extensions. You'll handle the identity and security for users with the Microsoft Entra ID and centralize access using policies and defined roles. Further chapters strengthen your grasp of Azure Storage security, supplemented by an overview of tools such as Network Watcher.By the end of the book, you'll have a holistic grasp of Azure administration principles to tackle contemporary challenges and expand your proficiency to administer your Azure-based cloud environment using various tools like Azure CLI, Azure PowerShell, and infrastructure as code.What You Will Learn: Discover the workings of Azure Load Balancer, grasp its use cases, and configure load balancer rulesGain insights into various solutions for provisioning infrastructure and configurationCreate and configure workspaces, query data in Log Analytics, and visualize dataPlan and deploy virtual networks and configure network security groupsValidate and verify multiple authentication and authorization scenariosWho this book is for: This book is for cloud administrators, system administrators, and IT professionals who want to expand their skill set to enter the world of cloud computing. For IT professionals and engineers who are already familiar with the basics of Azure services, this book will serve as a step-by-step guide to solving the most common Azure problems. A basic understanding of cloud concepts such as IaaS, PaaS, virtualization, networking, and common Azure services is required.
Towards Human Brain Inspired Lifelong Learning
Over the past few decades, the field of machine learning has made remarkable strides, surpassing human performance in tasks like voice and object recognition, as well as mastering various complex games. Despite these accomplishments, a critical challenge remains: the absence of general intelligence. Achieving artificial general intelligence (AGI) requires the development of learning agents that can continually adapt and learn throughout their existence, a concept known as lifelong learning.In contrast to machines, humans possess an extraordinary capacity for continuous learning throughout their lives. Drawing inspiration from human learning, there is immense potential to enable artificial learning agents to learn and adapt continuously. Recent advancements in continual learning research have opened up new avenues to pursue this objective.This book is a comprehensive compilation of diverse methods for continual learning, crafted by leading researchers in the field, along with their practical applications. These methods encompass various approaches, such as adapting existing paradigms like zero-shot learning and Bayesian learning, leveraging the flexibility of network architectures, and employing replay mechanisms to enable learning from streaming data without catastrophic forgetting of previously acquired knowledge.This book is tailored for researchers, practitioners, and PhD scholars working in the realm of Artificial Intelligence (AI). It particularly targets those envisioning the implementation of AI solutions in dynamic environments where data continually shifts, leading to challenges in maintaining model performance for streaming data.
Data-Driven Modelling and Predictive Analytics in Business and Finance
Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.
Computer Supported Cooperative Work and Social Computing
This two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023. The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.
Hci International 2023 - Late Breaking Papers
This seven-volume set LNCS 14054-14060 constitutes the proceedings of the 25th International Conference, HCI International 2023, in Copenhagen, Denmark, in July 2023. For the HCCII 2023 proceedings, a total of 1578 papers and 396 posters was carefully reviewed and selected from 7472 submissions. Additionally, 267 papers and 133 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work". These papers were organized in the following topical sections: HCI Design and User Experience; Cognitive Engineering and Augmented Cognition; Cultural Issues in Design; Technologies for the Aging Population; Accessibility and Design for All; Designing for Health and Wellbeing; Information Design, Visualization, Decision-making and Collaboration; Social Media, Creative Industries and Cultural Digital Experiences; Digital Human Modeling, Ergonomics and Safety; HCI in Automated Vehicles and Intelligent Transportation; Sustainable GreenSmart Cities and Smart Industry; eXtended Reality Interactions; Gaming and Gamification Experiences; Interacting with Artificial Intelligence; Security, Privacy, Trust and Ethics; Learning Technologies and Learning Experiences; eCommerce, Digital Marketing and eFinance.
Special Topics in Artificial Intelligence and Augmented Reality
This monograph explores the synergy of Artificial Intelligence (AI), Augmented Reality (AR) and cognitive processes to enhance spatial abilities -- an integral aspect of cognitive development. The ability to comprehend and manipulate spatial information is not only fundamental to our understanding of the physical world but also plays a pivotal role in numerous academic and professional fields. Recognizing the profound impact of spatial ability on scientific disciplines and educational achievement, this monograph takes on the challenge of enhancing spatial skills among users.The authors present the design and development of a mobile training system that incorporates AR features to enhance learners' spatial ability. Involving mental generation, transformation, and rotation of visual images for understanding spatial relationships, spatial ability is closely linked to success in various scientific disciplines and educational pursuits. While spatial visualization skills testsare available, this monograph takes a unique approach by focusing on developing targeted interventions to improve spatial ability. It aims to unlock new avenues for cognitive growth and dive into the untapped potential within the realm of spatial intelligence. Beyond its emphasis on spatial ability enhancement, this monograph goes above and beyond traditional approaches by integrating AI techniques into the training system. As such, it aims to provide personalized and adaptive learning experiences for learners. The training system, through intelligent techniques, dynamically analyzes individual learners' strengths, weaknesses, and progress, tailoring content and challenges to their specific needs. This effort establishes a new frontier in educational technology, offering a groundbreaking solution that not only augments spatial ability development but also showcases the transformative potential of AI in reshaping the learning experience.The book is a valuable resource for researchers, educators, developers and technology enthusiasts, as it exemplifies the profound impact of AI and AR in shaping the future of online learning experiences.
Software Project Management
The management of a software project has been shown to be the number one factor in determining a software development project's success. It has been found that most software projects fail because of poor management. Not surprisingly, most software development managers have not been trained in project management. Software Project Management: Methods and Techniques aims to remedy this situation in two ways: familiarizing software developers with the elements of the project management discipline and providing fact-based resources on practicing software project management.Much like the checklist pilots go through prior to a flight, this book provides a pre-project checklist which enables the software engineering team to review and evaluate an extensive set of technical and sociopolitical risks which will help the software project manager and the team determine the project team's chances of success. This same list and the individual question responses can be used later as part of the project's closeout process helping team members to improve their individual and collective abilities to assess risk.Intended for both students and software project managers, the book is organized along the lines of the five major functions of a software project manager: planning; scheduling and costing; controlling; staffing; and motivating. The basics of each of these functions are presented in a single chapter. These are followed by a series of narrow topic presentations in the form of appendices that are intended to help solve specific problems that may occur during the conduct of a software project. As in the main portion of the text, the appendices include references that provide an avenue into further detail on the topic. Designed to promote project success, this approach has been taken because software projects are each unique undertakings such that providing a "one size fits all" approach will fail most of the time.
Computer Supported Cooperative Work and Social Computing
This two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023. The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.
Services Computing - Scc 2023
This book constitutes the refereed proceedings of the 20th International Conference on Services Computing, SCC 2023, held in Shenzhen, China, during December 17-18, 2023.The 6 full papers in this book were carefully reviewed and selected from 18 submissions. They are organized in topical sections as follows: business modeling, business consulting, solution creation, service delivery, and software architecture design, development, and deployment.
Advances in Visual Computing
This volume LNCS 14361 and 14362 constitutes the refereed proceedings of the, 16th International Symposium, ISVC 2023, in October 2023, held at Lake Tahoe, NV, USA.The 42 full papers and 13 poster papers were carefully reviewed and selected from 120 submissions. A total of 25 papers were also accepted for oral presentation in special tracks from 34 submissions. The following topical sections followed as: Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures; ST: Generalization in Visual Machine Learning; Computer Graphics; Medical Image Analysis; Biometrics; Autonomous Anomaly Detection in Images; ST: Artificial Intelligence in Aerial and Orbital Imagery; ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.
Artificial Intelligence of Things
These two volumes constitute the revised selected papers of First International Conference, ICAIoT 2023, held in Chandigarh, India, during March 30-31, 2023.The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions. The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT Systems
Generative AI Transformation Blueprint
2024 Edition! This practical and concise guide provides senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes. Drawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined.Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap.This book is designed for busy executives and can be read in less than two hours. For a more in-depth exploration of Generative AI for business, check out our book "Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype."Who this Book is ForThe core audience comprises senior executives like CEOs, Transformation advisors, strategic planners, technology heads, product leaders or functional unit heads keen on harnessing generative AI for a competitive edge but needing authoritative counsel consolidating recent lessons into a crisp actionable package to aid planning.Key Topics CoveredUnderstanding Generative AI: What it is, key capabilities and applications, strengths and limitations.Strategic Alignment: Mapping generative AI to business goals, prioritizing high-impact use cases, managing risks.Talent and Skills: Developing in-house capabilities through upskilling programs, attracting and retaining external AI talent.Technology Integration: Assessing IT infrastructure readiness, optimizing make vs buy decisions for AI solutions.Implementation and Scaling: Pilot testing for viability, expanding validated applications through metrics-driven scaling.Risk Management and Ethics: Governing biases and reliability issues, safeguarding data privacy and security.Organizational Change: Securing leadership commitment, preparing the workforce to adopt new AI-powered processes.Continuous Improvement: Quantifying value through KPIs, optimizing models through responsive feedback loops.Future-Proofing: Investing in R&D for sustained innovation, building agility to adapt to rapid AI progress.Featuring use studies, business scenarios, practical frameworks, and research insights from top consultancies and AI leaders, this book delivers a visionary yet pragmatic roadmap for AI transformation. A must-read guide for any organization looking to leverage generative AI for competitive advantage.
Cloud Native Networking Deep-Dive
This book demystifies how Kubernetes networking actually works by walking through a simple but practical simulation that mirrors reality as closely as possible, while skipping the gory details.
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)
Biometric Recognition
This book constitutes the proceedings of the 17th Chinese Conference, CCBR 2023, held in Xuzhou, China, during December 1-3, 2023. The 41 full papers included in this volume were carefully reviewed and selected from 79 submissions. The volume is divided in topical sections named: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
The Software Engineer's Guidebook
In my first few years as a developer I assumed that hard work was all I needed. Then I was passed over for a promotion and my manager couldn't give me feedback on what areas to improve, so I could get to the senior engineer level. I was frustrated; even bitter: not as much about missing the promotion, but because of the lack of guidance.By the time I became a manager, I was determined to support engineers reporting to me with the kind of feedback and support I wish I would have gotten years earlier. And I did. While my team tripled over the next two years, people became visibly better engineers, and this progression was clear from performance reviews and promotions.This book is a summary of the advice I've given to software engineers over the years - and then some more.This book follows the structure of a "typical" career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I've learned as a developer and how I've approached coaching engineers at different stages of their careers.We cover "soft" skills which become increasingly important as your seniority increases, and the "hard" parts of the job, like software engineering concepts and approaches which help you grow professionally.The names of levels and their expectations can - and do! - vary across companies. The higher "tier" a business is, the more tends to be expected of engineers, compared to lower tier places. For example, the "senior engineer" level has notoriously high expectations at Google (L5 level) and Meta (E5 level, ) compared to lower-tier companies. If you work at a higher-tier business, it may be useful to read the chapters about higher levels, and not only the level you're currently interested in.The book is composed of six standalone parts, each made up of several chapters: Part 1: Developer Career FundamentalsPart 2: The Competent Software DeveloperPart 3: The Well-Rounded Senior EngineerPart 4: The Pragmatic Tech LeadPart 5: Role Model Staff and Principal EngineersPart 6: ConclusionParts 1 and 6 apply to all engineering levels, from entry-level software developer, to principal-and-above engineer. Parts 2, 3, 4, and 5 cover increasingly senior engineering levels and group together topics in chapters, such as "Software Engineering," "Collaboration," "Getting Things Done," etc.Naming and levels vary, but the principles of what makes a great engineer who is impactful at the individual, team, and organizational levels, are remarkably constant. No matter where you are in your career, I hope this book provides a fresh perspective and new ideas on how to grow as an engineer.Praise for the book"From performance reviews to P95 latency, from team dynamics to testing, Gergely demystifies all aspects of a software career. This book is well named: it really does feel like the missing guidebook for the whole industry."- Tanya Reilly, senior principal engineer and author of The Staff Engineer's Path"Spanning a huge range of topics from technical to social in a concise manner, this belongs on the desk of any software engineer looking to grow their impact and their career. You'll reach for it again and again for sage advice in any situation."- James Stanier, Director of Engineering at Shopify, author of TheEngineeringManager.com
UX for Business
Many UX designers are surprised to learn that much of the job isn't about drawing things. It's about knowing what to draw and how to convince people to build it. Whether you're a one-person design team making products from scratch or a C-level product leader managing many products and strategies, UX for Business is your missing guide to real-world business design. You'll not only learn how to think about design as a professional but also discover how design can move the needle for your entire company. Author Joel Marsh helps you understand stakeholders, business models, the process of designing valuable solutions, dangerous choices that can ruin a product, and how to gain the attention your work deserves. You'll also explore the principles of designing common types of digital products and services, from portfolio sites to social networks to ecosystems. With this book, you'll learn: How to design the right things by understanding value, diagnostics, and probability How to conduct UX research and analysis without the luxury of time or money The most important aspects of common digital business models Methods for getting things done under less-than-ideal circumstances How to avoid common pitfalls caused by inexperience
Transhuman Acculturation
The process of Singularity or Transhumanism - our merging with machine mind, brilliantly described by Ray Kurzweil, has generated a new culture of life-TRANS-HUMAN ACCULTURATION!It is the core of our evolutionary development now, and Dr. Ray sees it as her lifemission to make it holistically informational, scientifically adaptable, and psychologically inspirational for the young minds of the world, especially those that design life-like humanized beings.Viewing this transformation in the holistic paradigm ( physical + emotional + mental +spiritual +universal dimensions), the book "Transhuman Acculturation" explores the spiritual realm of life, advocating for RELIGION + SCIENCE digitized integration.The KNOW-HOW of the book seeks to bridge the gap between rational, AI enhanced life exploration and spiritual understanding of its essence that we are probing digitally now, fostering a holistic perspective that enriches our life on Earth. Our transhuman transformation is anamazing opportunity to "install" the digital "ANTENNAS" in our heads that will work as our spiritual receptors. They will help connect our hearts and minds and establish SOUL-SYMMETRY by uniting the physical form and the spiritual content of our life in a new fractal formation, connecting us to Super Consciousness that we all perceive as God.(Body+ Spirit+ Mind) + (Self-Consciousness + Super-Consciousness) =A Whole, Intellectually Spiritualized You!
Medical Image Understanding and Analysis
This book constitutes the proceedings of the 27th Annual Conference on Medical Image Understanding and Analysis, MIUA 2023, which took place in Aberdeen, UK, during July 19-21, 2023.The 24 full papers presented in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Image interpretation; radiomics, predictive models and quantitative imaging; image classification; and biomarker detection.
Emerging Digital Technologies and India's Security Sector
This book is an introductory account for policy makers, academia, and interested readers on the digital technologies on Indian Military. It covers three technologies - AI, Blockchain, and Quantum communications - and provides a detailed account on the military use cases. It evaluates the readiness of Indian Military in these technologies. A foundational text, it not only provides key policy analysis but also identifies the gray areas for the future research in the security studies.The volume will be essential reading for scholars and researchers of military and strategic studies, especially future warfare, AI and Blockchain, and South Asian studies. It will be of interest to general readers as well.
Advances in Visual Computing
This volume LNCS 14361 and 14362 constitutes the refereed proceedings of the, 16th International Symposium, ISVC 2023, in October 2023, held at Lake Tahoe, NV, USA.The 42 full papers and 13 poster papers were carefully reviewed and selected from 120 submissions. A total of 25 papers were also accepted for oral presentation in special tracks from 34 submissions. The following topical sections followed as: Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures; ST: Generalization in Visual Machine Learning; Computer Graphics; Medical Image Analysis; Biometrics; Autonomous Anomaly Detection in Images; ST: Artificial Intelligence in Aerial and Orbital Imagery; ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.
