Computer Vision and Image Processing
This two volume set (CCIS 1776-1777) constitutes the refereed proceedings of the 7th International Conference on Computer Vision and Image Processing, CVIP 2022, held in Nagpur, India, November 4-6, 2022. The 110 full papers and 11 short papers were carefully reviewed and selected from 307 submissions. Out of 121 papers, 109 papers are included in this book. The topical scope of the two-volume set focuses on Medical Image Analysis, Image/ Video Processing for Autonomous Vehicles, Activity Detection/ Recognition, Human Computer Interaction, Segmentation and Shape Representation, Motion and Tracking, Image/ Video Scene Understanding, Image/Video Retrieval, Remote Sensing, Hyperspectral Image Processing, Face, Iris, Emotion, Sign Language and Gesture Recognition, etc.
How to Test a Time Machine
End-to-end solutions and options for test architecture and methodologies. Achieve better quality and faster projects in an enjoyable way taking your career to the next level.Key Features: - Explore the full test architecture spectrum- Discover a range of challenging automation applications with real-world scenarios- Learn with easy-to-follow start-up examples including DevOps for testing, AI, XR, and cloudBook Description: From simple websites to complex applications, delivering quality is crucial for achieving customer satisfaction. How to Test a Time Machine provides step-by-step explanations of essential concepts and practical examples to show you how you can leverage your company's test architecture from different points in the development life cycle.You'll begin by determining the most effective system for measuring and improving the delivery of quality applications for your company, and then learn about the test pyramid as you explore it in an innovative way. You'll also cover other testing topics, including cloud, AI, and VR for testing.Complete with techniques, patterns, tools, and exercises, this book will help you enhance your understanding of the testing process. Regardless of your current role within development, you can use this book as a guide to learn all about test architecture and automation and become an expert and advocate for quality assurance.By the end of this book, you'll be able to deliver high-quality applications by implementing the best practices and testing methodologies included in the book.What You Will Learn: - Identify quality maturity and processes to get your product to the next quality level- Learn how to think out of the box for testing- Learn about types of tests and how to apply them from a unique perspective- Understand how to apply different technologies into testing- Cool code exercises and tools that could be of use for practicing and polishing your testing skills- Own quality and use it for career growthWho this book is for: This book is for test owners, developers, managers, manual QAs, SDETS, team leads, and systems engineers who wish to get started or improve the current QA systems. Test owners looking for inspiration and out-of-the-box solutions for challenging issues will also find this book useful.Table of Contents- Introduction - Finding Your QA Level- The Secret Passages of the Test Pyramid - The Base of the Pyramid- The Secret Passages of the Test Pyramid -- The Middle of the Pyramid- The Secret Passages of the Test Pyramid - The Top of the Pyramid- Testing Automation Patterns- Continuous Testing - CI/CD and Other DevOps Concepts You Should Know- Mathematics and Algorithms in Testing- Artificial Intelligence is the New Intelligence- Having Your Head up in the Clouds- Traveling Across Realities- How to Test a Time Machine (and Other Hard-to-Test Applications)- Taking Your Testing to the Next Level- Appendix - Self-Assessment
Computer Vision on AWS
Scale up your Windows containers seamlessly on AWS powered by field-proven expertise and best practices on Amazon ECS, EKS, and FargatePurchase of the print or Kindle book includes a free PDF eBookKey Features: Learn how to quickly deploy and automate end-to-end CV pipelines on AWSImplement design principles to mitigate bias and scale production of CV workloadsWork with code examples to master CV concepts using AWS AI/ML servicesBook Description: Computer vision (CV) is a field of artificial intelligence that helps transform visual data into actionable insights to solve a wide range of business challenges. This book provides prescriptive guidance to anyone looking to learn how to approach CV problems for quickly building and deploying production-ready models.You'll begin by exploring the applications of CV and the features of Amazon Rekognition and Amazon Lookout for Vision. The book will then walk you through real-world use cases such as identity verification, real-time video analysis, content moderation, and detecting manufacturing defects that'll enable you to understand how to implement AWS AI/ML services. As you make progress, you'll also use Amazon SageMaker for data annotation, training, and deploying CV models. In the concluding chapters, you'll work with practical code examples, and discover best practices and design principles for scaling, reducing cost, improving the security posture, and mitigating bias of CV workloads.By the end of this AWS book, you'll be able to accelerate your business outcomes by building and implementing CV into your production environments with the help of AWS AI/ML services.What You Will Learn: Apply CV across industries, including e-commerce, logistics, and mediaBuild custom image classifiers with Amazon Rekognition Custom LabelsCreate automated end-to-end CV workflows on AWSDetect product defects on edge devices using Amazon Lookout for VisionBuild, deploy, and monitor CV models using Amazon SageMakerDiscover best practices for designing and evaluating CV workloadsDevelop an AI governance strategy across the entire machine learning life cycleWho this book is for: If you are a machine learning engineer or data scientist looking to discover best practices and learn how to build comprehensive CV solutions on AWS, this book is for you. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.
Machine Learning Governance for Managers
Machine Learning Governance for Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions. In today's business landscape, most organizations face challenges in scaling and maintaining a sustainable machine learning model lifecycle. This book offers a comprehensive framework that covers business requirements, data generation and acquisition, modeling, model deployment, performance measurement, and management, providing a range of methodologies, technologies, and resources to assist data science managers in adopting data and AI-driven practices. Particular emphasis is given to ramping up a solution quickly, detailing skills and techniques to ensure the right things are measured and acted upon for reliable results and high performance. Readers will learn sustainable tools for implementing machine learning with existing IT and privacy policies, including versioning all models, creating documentation, monitoring models and their results, and assessing their causal business impact. By overcoming these challenges, bottom-line gains from AI investments can be realized. Organizations that implement all aspects of AI/ML model governance can achieve a high level of control and visibility over how models perform in production, leading to improved operational efficiency and a higher ROI on AI investments. Machine Learning Governance for Managers helps to effectively control model inputs and understand all the variables that may impact your results. Don't let challenges in machine learning hinder your organization's growth - unlock its potential with this essential guide.
Still Room for Humans
Don't let artificial intelligence and robots steal your job!Still Room for Humans is the only survival guide you need in order to stay employable in the future. This book will teach you how to: make yourself indispensable to your company, develop soft skills that robots and AI cannot match, collaborate with robots, retool your skills without going back to school.You will also learn which traditionally safe careers and entire industries will no longer be safe in the future because of artificial intelligence. The author details why the changes caused by disruptive technology will be far greater and take place far faster than in previous industrial revolutions.This book offers several ways to cope with the introduction of artificial intelligence and robotics to a company or organization as well as how to take advantage of the disruption likely to result from other new technologies including 3D printing, the Internet of Things, virtual reality, green technologies, Big Data, blockchain, and nanotechnology.Still Room for Humans spells out the types of jobs long associated with well-paying careers that should be avoided because they are most likely to be eliminated by artificial intelligence. It lists several new jobs that don't exist yet but will be created shortly as new technologies become more prevalent.Schatt provides career planning information as well as specific advice for those readers already employed.
Bayesian Optimization
This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.The book begins by introducing different Bayesian Optimization (BO) techniques, covering both commonly used tools and advanced topics. It follows a "develop from scratch" method using Python, and gradually builds up to more advanced libraries such as BoTorch, an open-source project introduced by Facebook recently. Along the way, you'll see practical implementations of this important discipline along with thorough coverage and straightforward explanations of essential theories. This book intends to bridge the gap between researchers and practitioners, providing both with a comprehensive, easy-to-digest, and useful reference guide. After completingthis book, you will have a firm grasp of Bayesian optimization techniques, which you'll be able to put into practice in your own machine learning models.What You Will LearnApply Bayesian Optimization to build better machine learning modelsUnderstand and research existing and new Bayesian Optimization techniquesLeverage high-performance libraries such as BoTorch, which offer you the ability to dig into and edit the inner workingDig into the inner workings of common optimization algorithms used to guide the search process in Bayesian optimizationWho This Book Is ForBeginner to intermediate level professionals in machine learning, analytics or other roles relevant in data science.
Misinformation Matters
What is "misinformation"? Why does it matter? How does it spread on the internet, especially on social media platforms? What can we do to counteract the worst of its effects? Can we counteract its effects now that it is ubiquitous? These are the questions we answer in this book. We are living in an information age (specifically an "algorithmic age") which prioritizes information "quantity" over "quality". Social media has brought billions of people from across the world together online and the impact of diverse platforms, such as Facebook, WeChat, Reddit, LinkedIn, Signal, WhatsApp, Gab, Instagram, Telegram, and Snapchat, has been transformational.The internet was created, with the best of intentions, as an online space where written content could be created, consumed and diffused without any real intermediary. This empowering aspect of the web is still, mostly, a force for good. People, on the whole, are better informed and online discussion is more inclusive because barriers to participation are reduced. As activity online has grown, however, an expanding catalogue of research reveals a darker side to social media, and the internet generally. Namely, misinformation's ability to negatively influence our behaviour both online and offline.The solution we provide to this growing dilemma is informed by Ludwig Wittgenstein's Tractatus Logico-Philosophicus, which examines the relationship between language and reality from a philosophical perspective, and complements Claude Shannon's Information Quantity Theory, which addresses the quantification, storage and communication of digital information from a mathematical perspective. The book ends by setting out a model designed by us: a "Wittgensteinian" approach to information quality. It defines content published online by clarifying the propositions and claims made within it. Our model's online information quality check allows users to effectively analyse the quality of trending online content. This approach to misinformation analysis and prevention has been designed to be both easy to use and pragmatic. It upholds freedom of speech online while using the "harm principle" to categorise problematic content.
Distributed Artificial Intelligence
This book constitutes the refereed proceedings of the 4th International Conference on Distributed Artificial Intelligence, DAI 2022, held in Tianjin, China, in December 2022. The 5 full papers presented in this book were carefully reviewed and selected from 12 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI.
Psychophysics and Experimental Phenomenology of Pattern Cognition
Psychophysics and Experimental Phenomenology of Pattern Cognition examines the cognitive transformations that underly this cognitive system and the specialized subsystems for processing these transformations. Sections cover symmetry cognition, contour perception and geometric illusion. Weight sensation is also discussed, as are repetitive and dot patterns. By incorporating elements of both psychophysics and experimental phenomenology, pattern cognition is examined from both the physical and mental sensory perspective, thus providing a comprehensive view of this cognitive system.
Genetic Algorithms
The solution to many real-world problems lies in optimizing processes, parameters, or techniques, which requires dealing with immense search spaces. As such, finding solutions involves exhaustive methods to evaluate all possible solutions in the search for a global optimum. Some of these methods include evolutionary algorithms and genetic algorithms, both of which have proven to effectively deal with complex search spaces. This book focuses on genetic algorithms and their applications in various fields, including engineering and architecture.
Cognitive Robotics and Adaptive Behaviors
The development and use of robotics is affecting all aspects of modern life. There is a demand not only for robots that can move, interact, learn, and act in real-time dynamic and unconstrained environments but also for those that can interact smoothly and safely with the actions and movements of people within the same environments. In addition to managing complex motor coordination, these robots also require the ability to acquire and represent knowledge, deal with uncertainty at different operational levels, learn, reason, adapt, and have the autonomy to make intelligent decisions and act upon them. They should be able to learn from interaction, anticipate the outcomes of actions, acquire experiences and use them as required for future activities. Cognitive robotics is the interdisciplinary term used to describe robots that merge all these features and capabilities in their hardware and software architectures.
The Last Stand of the Humans
"From robots to cyborgs, from dating to the job market, and from the apocalypse that wasn't . . . "Are you curious about the world of AI and its impact on our lives? This nook is an entertaining and informative exploration of the promises and pitfalls of artificial intelligence.This book is perfect for anyone looking to understand the latest developments in AI and how they are changing the world around us. With a mix of humor and deep analysis, The author takes you on a journey through the ups and downs of AI, from its potential to transform healthcare and the environment to the risks of biased algorithms and malicious uses.In this book, you will learn: The difference between automation and AIThe dark side of AI and how it can be misusedThe potential for harm from biased algorithmsThe importance of ethics and governance in AIHow machines are changing the world of art, music, and designThe blurring of boundaries between humans and machinesHow AI is revolutionizing medicine and improving patient outcomesThe promise and perils of AI in the classroomHow AI can be used to address climate change and promote sustainabilityHow to survive the funniest scenarios of an AI uprisingWhether you are a tech enthusiast or just looking to stay informed about the latest advancements in AI, This is the perfect book for you."Welcome to the world of AI (artificial intelligence), where the machines are smarter than the humans, and the jokes write themselves. This book is going to take you on a ride you won't soon forget. From robots to cyborgs, from dating to the job market, and from the apocalypse that wasn't to the coffee machine takeover, this book covers it all with a healthy dose of humor and humility. Whether you're a die-hard tech geek or a casual observer of the digital world, you're sure to find something to laugh about, learn from, and maybe even be a little bit afraid of. With real-world examples, insightful analysis, and plenty of laughs, this book is a must-read for anyone who wants to navigate the brave new world of AI with style, grace, and a good sense of humor."This is one of the funniest genre-blending self-development books you'll ever read about AI and its impact on our society.
ChatGPT for Business
"ChatGPT for Business: Strategies for Success" by Matthew C. Smith is a comprehensive guide that offers innovative and practical strategies for leveraging artificial intelligence in the world of business. With the increasing importance of AI-powered tools and technologies, this book explores the ways in which companies can utilize ChatGPT to drive growth, streamline operations, and enhance customer experiences.Written by an expert in the field, this book provides a clear and concise overview of the capabilities and limitations of ChatGPT, while also exploring the best practices for integrating this powerful technology into various aspects of business operations. The author offers insights and real-world examples of how ChatGPT can be used for everything from customer service and marketing, to product development and supply chain management."ChatGPT for Business" is a must-read for anyone looking to stay ahead of the curve in the rapidly evolving world of AI and business. Whether you're a small business owner, an entrepreneur, or a corporate executive, this book provides valuable insights and actionable advice that will help you achieve greater success and competitiveness in today's digital landscape.
Hidden in White Sight
Artificial Intelligence was meant to be the great social equalizer that helps promote fairness by removing human bias from the equation, but is this true? Given that the policing and judicial systems can display human bias, this book explores how the technology they use can also reflect these prejudices.From healthcare services to social scoring in exams, to applying for and getting loans, AI outcomes often restrict those most in need of these services. Through personal stories from an esteemed Black Data Scientist and AI expert, this book attempts to demystify the algorithmic black box.AI pervades all aspects of modern society and affects everyone within it, yet its internal biases are rarely confronted. This book advises readers on what they can do to fight against it, including the introduction of a proposed AI Bill of Rights, whilst also providing specific recommendations for AI developers and technologists. https: //hiddeninwhitesight.com/
NET MAUI for C# Developers
A practical guide to mastering C# and .NET MAUI to build native cross-platform apps with a single codebasePurchase of the print or Kindle book includes a free PDF eBookKey Features: Extend your skills to build cross-platform native apps for iOS, Android, Windows, and MacLearn by working on a real-world projectGo beyond MAUI and integrate with the .NET ecosystemBook Description: While UI plays a pivotal role in retaining users in a highly competitive landscape, maintaining the same UI can be tricky if you use different languages for different platforms, leading to mismatches and un-synced pages. In this book, you'll see how .NET MAUI allows you to create a real-world application that will run natively on different platforms. By building on your C# experience, you'll further learn to create beautiful and engaging UI using XAML or fluent C#, architect a solid app, and discover best practices for this Microsoft platform.The book starts with the fundamentals and quickly moves to intermediate and advanced topics on laying out your pages, navigating between them, and adding controls to gather and display data. You'll explore the key architectural pattern of Model-View-ViewModel: and ways to leverage it. You'll also get to grips with using xUnit and NSubstitute to create robust and reliable code coverage.By the end of this book, you'll be well-equipped to leverage .NET MAUI and create an API for your app to interact with a web frontend to the backend data using Blazor and C#.What You Will Learn: Explore the fundamentals of creating .NET MAUI apps with Visual StudioUnderstand XAML and fluent C# as the key tools for building your user interfaceObtain and Display data using layout and controlsDiscover the MVVM pattern to create robust appsAcquire the skills for storing and retrieving persistent dataBuild custom controls when the supplied controls fall shortUse unit testing to ensure your app is solid and reliableIntegrate into the .NET ecosystem to build a web-based frontendWho this book is for: Learning .NET MAUI is targeted squarely at C# programmers, whether or not they have experience with cross-platform or mobile applications, who wish to learn Microsoft's premier platform for building iOS, Android, Windows and Mac apps using a single C#-based solution.
Techniques for Detecting Human Psychological Disorders Using Machine Learning and Soft Computing
Techniques for Detecting Human Psychological Disorders Using Machine Learning and Soft Computing refers to the application of computational methods to identify and diagnose various mental health conditions in humans. This involves the use of machine learning and soft computing algorithms to analyze data and patterns related to psychological disorders, such as neuroimaging, speech analysis, and behavioral data. The objective of these techniques is to develop diagnostic tools and predictive models that can aid mental health professionals in the accurate and efficient diagnosis of psychological disorders. By using computational models to analyze data, these techniques have the potential to identify patterns that are not easily detectable by humans, leading to earlier and more accurate diagnoses, and ultimately improving the treatment outcomes for individuals with psychological disorders.The use of machine learning and soft computing in detecting human psychological disorders is a rapidly growing field of research with potential applications in clinical and non-clinical settings. By leveraging large amounts of data and complex algorithms, these techniques can assist in the early detection of mental health conditions, providing an opportunity for early intervention and prevention of more severe symptoms. These methods can also help mental health professionals to develop personalized treatment plans for patients based on their individual profiles, leading to more effective and efficient care. The use of machine learning and soft computing in this area can also help to reduce the stigma associated with mental health disorders by providing objective and data-driven diagnosis and treatment recommendations. However, the application of these techniques also raises ethical considerations, including issues related to privacy, bias, and the potential for misinterpretation of results. Despite these challenges, the continued development of machine learning and soft computing techniques for detecting psychological disorders holds great promise for improving mental health outcomes and quality of life for individuals with these conditions.Psychological disorders are chronic and critical human disorders that may affect theoverall personality, behaviour and health of a person . A psychological disorder is a condition characterized by abnormal thoughts, behaviours and feelings that can have significant impact on person's everyday functioning and existence. As per Diagnostic and Statistical Manual of Mental Disorders (DSM-5), psychological disorders are classified into twenty main categories viz. neurodevelopment disorder, schizophrenia, psychotic disorders, depression, anxiety, trauma- and stressor-related disorders, obsessive-compulsive and related disorders, dissociative disorders, feeding and eating disorders, elimination disorders, sleep-wake disorders, sexual dysfunctions, gender dysphoria, disruptive, impulsive and conduct disorders, substance-related and the addictive disorders, neurocognitive disorders, personality disorders, paraphilic disorders and other mental disorders
Persuasive Technology
This book constitutes the refereed proceedings of the 18th International Conference on Persuasive Technology, PERSUASIVE 2023, held in Eindhoven, The Netherlands, April 19-21, 2023.The 24 full papers and 2 short papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: Persuasive Technologies in Virtual and Augmented Reality; Persuasive Strategies; Persuasive Design and Applications; Methods for Tailoring and Personalisation; Artificial Persuasive Agents; Gamification; and Personal Factors in Persuasion.
Artificial Intelligence and Digitalization for Sustainable Development
This proceedings, ICAST 2022, constitutes the refereed post-conference proceedings of the 10th International Conference on Advancement of Science and Technology, ICAST 2022, which took place in Bahir Dar, Ethiopia, in November 2022. The 17 revised full papers and one short paper were carefully reviewed and selected from 174 submissions. The papers present economic and technologic developments in modern societies related to important issues such digitization, energy transformation, impact on national economy, and its recent advancements.
Hidden in White Sight
Artificial Intelligence was meant to be the great social equalizer that helps promote fairness by removing human bias from the equation, but is this true? Given that the policing and judicial systems can display human bias, this book explores how the technology they use can also reflect these prejudices.From healthcare services to social scoring in exams, to applying for and getting loans, AI outcomes often restrict those most in need of these services. Through personal stories from an esteemed Black Data Scientist and AI expert, this book attempts to demystify the algorithmic black box.AI pervades all aspects of modern society and affects everyone within it, yet its internal biases are rarely confronted. This book advises readers on what they can do to fight against it, including the introduction of a proposed AI Bill of Rights, whilst also providing specific recommendations for AI developers and technologists. https: //hiddeninwhitesight.com/
Mathematics of Deep Learning
The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural networks (DNNs). Much of the interest in deep learning has focused on the implementation of DNN-based algorithms. Our hope is that this compact textbook will offer a complementary point of view that emphasizes the underlying mathematical ideas. We believe that a more foundational perspective will help to answer important questions that have only received empirical answers so far. The material is based on a one-semester course Introduction to Mathematics of Deep Learning" for senior undergraduate mathematics majors and first year graduate students in mathematics. Our goal is to introduce basic concepts from deep learning in a rigorous mathematical fashion, e.g introduce mathematical definitions of deep neural networks (DNNs), loss functions, the backpropagation algorithm, etc. We attempt to identify for each concept the simplest setting that minimizes technicalities but still contains the key mathematics.
Machine Learning and Knowledge Discovery in Databases
The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.
Advances in Information Retrieval
The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.
Machine Learning and Knowledge Discovery in Databases
Chapter "On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Advances in Information Retrieval
The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.
Artificial Intelligence with Python
Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon's Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.
Computer Vision
As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as B矇la Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors hope to provide foundation and, perhaps more importantly, further inspiration for continued research in vision. This book covers David Marr's paradigm and various underlying statistical models for vision. The mathematical framework herein integrates three regimes of models (low-, mid-, and high-entropy regimes) and provides foundation for research in visual coding, recognition, and cognition. Concepts are first explained for understanding and then supported by findings in psychology and neuroscience, after which they are established by statistical models and associated learning and inference algorithms. A reader will gain a unified, cross-disciplinary view of research in vision and will accrue knowledge spanning from psychology to neuroscience to statistics.
Exam Ref MD-102 Microsoft Endpoint Administrator
Prepare for Microsoft Exam MD-102 and demonstrate your real-world mastery of the skills and knowledge required to deploy, manage, and protect modern endpoints at scale in Microsoft 365 environments. Designed for endpoint administrators, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Deploy Windows client Manage identity and compliance Manage, maintain, and protect devices Manage applications This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience deploying, configuring, protecting, managing, and monitoring devices and client applications in a Microsoft 365 environment About the Exam Exam MD-102 focuses on the knowledge needed to prepare for Windows client deployments; plan and implement them with Windows Autopilot and the Microsoft Deployment Toolkit (MDT); confi gure remote management; manage identity; implement compliance policies for all supported device platforms with Microsoft Intune; manage device lifecycles, configurations, and updates with Intune; monitor devices; protect endpoints; deploy and update apps; and establish app protection and configuration policies. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft 365 Certified: Endpoint Administrator Associate credential, demonstrating your ability to deploy, configure, protect, manage, and monitor devices and client apps in Microsoft 365 environments; manage endpoint identity, security, access, policies, updates, and apps; efficiently deploy and administer diverse endpoints at scale, and collaborate on modern workplace strategies that address organizational needs. See full details at: microsoft.com/learn
The Ultimate Modern Guide to Artificial Intelligence
This book is your ultimate guide to understanding the revolutionary technology of Artificial Intelligence (AI). This book covers everything from the basics of AI to its profound impact on various industries, such as healthcare, transportation, banking, and entertainment. You will discover the endless possibilities of AI and how it is changing our lives for the better. The book begins with an introduction to AI and its significance in the modern world. You will learn about the various applications of AI, including speech recognition assistants, image recognition, and biometric data analysis. This will give you a comprehensive understanding of how AI is used in our daily lives and the different industries benefiting from its advancements. In the following chapters, you will delve deeper into the workings of AI, machine learning, deep learning, neural networks, and natural language generation. The book explains how these technologies function and how they are applied in real-life scenarios. You will also gain insights into the differences between human and machine intelligence, providing a holistic understanding of AI's capabilities and limitations. Whether you are a business decision-maker, an IT professional, or someone who is merely interested in the impact of AI on the world, this book is a must-read. With its easy-to-understand language and numerous examples, it empowers you to comprehend the complex technology of AI and be part of the conversation shaping our future.
Kubernetes Patterns
The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures offer new distributed primitives that require a different set of practices than many developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huss provide common reusable patterns and principles for designing and implementing cloud native applications on Kubernetes. Each pattern includes a description of the problem and a Kubernetes-specific solution. All patterns are backed by and demonstrated with concrete code examples. This updated edition is ideal for developers and architects familiar with basic Kubernetes concepts who want to learn how to solve common cloud native challenges with proven design patterns. You'll explore: Foundational patterns covering core principles and practices for building and running container-based cloud native applications Behavioral patterns that delve into finer-grained concepts for managing various types of container and platform interactions Structural patterns for organizing containers within a Pod for addressing specific use cases Configuration patterns that provide insight into how application configurations can be handled in Kubernetes Security patterns for hardening the access to cloud native applications running on Kubernetes Advanced patterns covering more complex topics such as operators and autoscaling
Datestamp
The breakthrough of the century. How to decode brain thoughts step by step. The definite guide. Processes and procedures. This is Volume III and must be read in conjunction with the following books. Volume I. Thoughts to Word or Audio. How to know exactly what someone is thinking. ISBN-13 979-8703923498 Volume II. Decoding Thoughts and Inner Voice: Explanations and Debunking the Misconceptions. ISBN-13 979-8801455488
The Dark Mafia
This book explores how organized crime has adapted and evolved in sync with ever-expanding technologies to update its popular image and to conduct its covert operations. It shows how organized crime operates in dark virtual spaces and how it can now form a dynamic interactive system with legitimate online spaces, solidifying its criminal exploits and resources, and making them attractive to a new generation of computer users. Focusing on Italian Mafias, Russian and Georgian criminal groups and drug cartels, and Asian crime syndicates such as Yakuza and Triads, this book aims to describe and explain the reasons behind the continuity of online and offline crime, taking into consideration whether or not internet culture has radically changed the way we perceive organized crime and if so how, and thus how the shift in popular imagery that the internet has brought about affects its actual illegal activities. We also consider how organized crime has shifted its locale from the physical to the virtual, how cybercrime has allowed criminal organizations to adapt and reinvent themselves, and how the police now use technology against organized crime. To better understand the new generation of criminals, it is becoming increasingly urgent to understand the latest technologies and how criminals utilize them. The Dark Mafia is an engaging and accessible introduction to understanding virtual organized crime. It will appeal to students and scholars of criminology, sociology, policing, and all those interested in the digital age of organized crime.
Smart Ports
This book demonstrates the concept of ecological system of the smart ports. The innovation is emphasized as the essence of the ecological system as well as the prerequisite and foundation of sustainable development of smart ports. The main supporting technologies of smart ports, including cyber-physical system, middle-office system, blockchain, artificial intelligence, machine vision, AR/VR, system simulation and emulation, digital monitoring and diagnosis, etc., are introduced with concepts and development descriptions as well as practical application cases. It could be used as demonstration and reference for the administrative staff, engineers and technicians as well as researchers in construction and operation of smart ports.
Lesion Segmentation in Surgical and Diagnostic Applications
This book constitutes three challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore in September 2022. The peer-reviewed 10 papers included in this volume stem from the following three challenges: Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022) The 2022 Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge (CuRIOUS-SEG 2022) The 2022 Mediastinal Lesion Analysis Challenge (MELA 2022)
The RP2040 Documentation Compilation
This is a printed compilation for people that enjoy using and working with printed manuals. The information in this compilation is available for free in PDF format directly from Raspberry Pi. This manual is printed in accordance with their CC BY-ND license. This is a third party printing of their documentation by DienstNet LLC. Compilation Contents RP2040 Product Brief RP2040 Datasheet Hardware Design with RP2040 Microcontrollers connect the world of software to the world of hardware. They allow developers to write software that interacts with the physical world in the same deterministic, cycle-accurate manner as digital logic. They occupy the bottom left corner of the price/performance space, outselling more powerful computing devices. They are the workhorses that power the digital transformation of our world. RP2040 is the debut microcontroller from Raspberry Pi. It brings our signature values of high performance, low cost, and ease of use to the microcontroller space. With a large on-chip memory, symmetric dual-core processor complex, deterministic bus fabric, and rich peripheral set augmented with our unique Programmable I/O (PIO) subsystem, RP2040 provides professional users with unrivalled power and flexibility. With detailed documentation, a polished MicroPython port, and a UF2 bootloader in ROM, it has the lowest possible barrier to entry for beginner and hobbyist users. RP2040 is a stateless device, with support for cached execute-in-place from external QSPI memory. This design decision allows you to choose the appropriate density of non-volatile storage for your application, and to benefit from the low pricing of commodity Flash parts. RP2040 is manufactured on a modern 40 nm process node, delivering high performance, low dynamic power consumption, and low leakage, with a variety of low-power modes to support extended-duration operation on battery power. Whatever your microcontroller application - from machine learning to motor control, from agriculture to audio - RP2040 has the performance, feature set, and support to make your product fly.
Database Systems for Advanced Applications
The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China.The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network.
Database Systems for Advanced Applications
The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China.The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network.
Database Systems for Advanced Applications
The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China.The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network.
Parallel Processing and Applied Mathematics
This two-volume set, LNCS 13826 and LNCS 13827, constitutes the proceedings of the 14th International Conference on Parallel Processing and Applied Mathematics, PPAM 2022, held in Gdansk, Poland, in September 2022.The 77 regular papers presented in these volumes were selected from 132 submissions. For regular tracks of the conference, 33 papers were selected from 62 submissions.The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; parallel non-numerical algorithms; GPU computing; performance analysis and prediction in HPC systems; scheduling for parallel computing; environments and frameworks for parallel/cloud computing; applications of parallel and distributed computing; soft computing with applications and special session on parallel EVD/SVD and its application in matrix computations.Part II: 9th Workshop on Language-Based Parallel Programming (WLPP 2022); 6th Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2022); first workshop on quantum computing and communication; First Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing (WAML 2022); 4th workshop on applied high performance numerical algorithms for PDEs; 5th minisymposium on HPC applications in physical sciences; 8th minisymposium on high performance computing interval methods; 7th workshop on complex collective systems.
Animating SwiftUI Applications
Unleash the power of SwiftUI 4 by building dynamic, cross-platform projects with iOS 16 that will amaze your usersPurchase of the print or Kindle book includes a free PDF eBookKey Features: Explore the basics of declarative programming and animationUnderstand the fundamentals of SwiftUI and animatable propertiesLearn while working on beginner-to-advanced level animation projectsBook Description: Swift and SwiftUI are the backbone of Apple application development, making them a crucial skill set to learn. Animating SwiftUI Applications focuses on the creation of stunning animations, making you proficient in this declarative language and employing a minimal code approach.In this book, you'll start by exploring the fundamentals of SwiftUI and animation, before jumping into various projects that will cement these skills in practice. You will explore some simple projects, like animating circles, creating color spectrums with hueRotation, animating individual parts of an image, as well as combining multiple views together to produce dynamic creations. The book will then transition into more advanced animation projects that employ the GeometryReader, which helps align your animations across different devices, as well as creating word and color games. Finally, you will learn how to integrate the SpriteKit framework into our SwiftUI code to create scenes with wind, fire, rain, and or snow scene, along with adding physics, gravity, collisions, and particle emitters to your animations.By the end of this book, you'll have created a number of different animation projects, and will have gained a deep understanding of SwiftUI that can be used for your own creations.What You Will Learn: Understand the fundamentals of SwiftUI and declarative programmingMaster animation concepts like state variables and time curvesExplore animation properties like hueRotation, opacity, and scaleCreate animations using physics, gravity, collision, and moreUse the GeometryReader to align views across various platformsCombine different animations for more dynamic effectsAdd audio to your animations for an interactive experiencecWho this book is for: This book is for aspiring SwiftUI developers who have a basic understanding of Swift. It can also be used by SwiftUI developers, UIKit developers, and iOS developers that are new to SwiftUI and want to improve their animation proficiency.
Artificial Intelligence
Why do some Artificial Intelligence (AI) projects succeed beyond all expectations while others fail miserably? Amazing achievements like the Deep Blue computer and the Google search engine contrast sharply against utter failures like the Watson Health expert system and the mayhem and even death caused by some self-driving cars. What determines the success or failure of AI projects? How can one avoid failures in the future? This book answers these questions using brain science and philosophy. If you work in AI, this book helps you avoid major pitfalls. If you are outside AI, you learn what it is all about and what it can and cannot do.
Cloud Computing Demystified for Aspiring Professionals
Gain in-depth knowledge of cloud computing concepts and apply them to accelerate your career in any cloud engineering roleKey Features: Get to grips with key cloud computing concepts, cloud service providers, and best practicesExplore demonstrations for cloud computing models using real-world examplesAdopt the self-paced learning strategy and get industry-ready for cloud engineering rolesPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description: If you want to upskill yourself in cloud computing domains to thrive in the IT industry, then you've come to the right place. Cloud Computing Demystified for Aspiring Professionals helps you to master cloud computing essentials and important technologies offered by cloud service providers needed to succeed in a cloud-centric job role.This book begins with an overview of transformation from traditional to modern-day cloud computing infrastructure, and various types and models of cloud computing. You'll learn how to implement secure virtual networks, virtual machines, and data warehouse resources including data lake services used in big data analytics - as well as when to use SQL and NoSQL databases and how to build microservices using multi-cloud Kubernetes services across AWS, Microsoft Azure, and Google Cloud. You'll also get step-by-step demonstrations of infrastructure, platform, and software cloud services and optimization recommendations derived from certified industry experts using hands-on tutorials, self-assessment questions, and real-world case studies.By the end of this book, you'll be ready to successfully implement cloud computing standardized concepts, services, and best practices in your workplace.What You Will Learn: Gain insights into cloud computing essentials and public, private, hybrid, and multi-cloud deployment modelsExplore core cloud computing services such as IaaS, PaaS, and SaaSDiscover major public cloud providers such as AWS, Microsoft, and GoogleUnlock the power of IaaS, PaaS, and SaaS with AWS, Azure, and GCPCreate secure networks, containers, Kubernetes, compute, databases, and API services on cloudDevelop industry-based cloud solutions using real-world examplesGet recommendations on exam preparation for cloud accreditationsWho this book is for: The book is for aspiring cloud engineers, as well as college graduates, IT enthusiasts, and beginner-level cloud practitioners looking to get into cloud computing or transforming their career and upskilling themselves in a cloud engineering role in any industry. A basic understanding of networking, database development, and data analysis concepts and experience in programming languages such as Python and C# will help you get the most out of this book.
Smart Agriculture for Developing Nations
This book in its eighteen chapters provides sustainable and smart technology-based solutions to developing nations. Smart farming is growing in importance due to the increasing demand for higher crop yield, the need for using natural resources efficiently, the rising use and sophistication of information and communication technology and the increasing need for climate-smart agriculture. Some of these chapters deal with the applications of smart agriculture to address the special challenges of the Small Island Developing States for sustainable agriculture. The book brings together scientific communities from India, Indonesia, Iraq, Malaysia, Mauritius, Myanmar, Palestine, Sri Lanka and South Africa to share their expertise to make the farming system more connected and intelligent. The smart farming techniques shared in different chapters not only help to reduce the overall cost and improve the quality and quantity of products but altogether help improve the sustainability of agriculturein the developing world.'Smart Farming' is a management concept focused on providing the agricultural industry with the infrastructure to leverage advanced technologies--including artificial intelligence (AI), big data, robotics, drones and Internet of Things (IoT)--for tracking, monitoring, automating and analyzing operations. Sometimes known as precision agriculture, smart farming is software managed and sensor monitored.
Recommender Systems in Fashion and Retail
This book includes the proceedings of the third workshop on recommender systems in fashion and retail (2021), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).
Artificial Intelligence: A Bridge Between Psychoanalysis and Neurology
To be able to merge the psyche with the neural system has been a long-sought goal. There is much scientific literature on results from research on this topic, but the goal of this "booklet" is to present the subject in a nutshell and to attract a wider audience to this highly complex topic. Scientists often need years to grasp the scope and implications of merging the psyche with the neural system. Does that really have to be the case? What does the simulated model look like? What are the underlying philosophies? Can it be understood without mathematical formalism? Uniting the psyche and neurology in one model, on the one hand, allows psychological and social theories to be tested on a scientific basis using simulation experiments. On the other hand, a model developed according to the functional structures of the human brain, let us call it the Psi-Organ, which comprises neurology and psyche as one unit, can serve as a basis for AI systems. These can be systems with cognitive capabilities that save human lives, save energy, ensure safety at airports, provide support in caring for the elderly and much more. In other words, systems that can simplify our lives in the most relevant ways and on a broad basis. This model, the Psi-Organ, goes far beyond today's primarily behavior-based AI methods. The manuscript can serve as an excellent introduction to the problem of understanding and modelling the human mind, and to the problem of achieving artificial "intelligence" in general, increasing awareness and understanding for the associated challenges. In that regard, it is a valuable supplementary text for advanced students or researchers in the field, notably not only in AI, but also (and perhaps primarily) in the medical fields.
Neural Information Processing
The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022.The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing
The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022.The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Neural Information Processing
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
