Searching for Trust
Searching for Trust explores the intersection of trust, disinformation, and blockchain technology in an age of heightened institutional and epistemic mistrust. It adopts a unique archival theoretic lens to delve into how computational information processing has gradually supplanted traditional record keeping, putting at risk a centuries-old tradition of the 'moral defense of the record' and replacing it with a dominant ethos of information-processing efficiency. The author argues that focusing on information-processing efficiency over the defense of records against manipulation and corruption (the ancient task of the recordkeeper) has contributed to a diminution of the trustworthiness of information and a rise of disinformation, with attendant destabilization of the epistemic trust fabric of societies. Readers are asked to consider the potential and limitations of blockchains as the technological embodiment of the moral defense of the record and as means to restoring societal trust in an age of disinformation.
Mastering Tensorflow 2.X
Mastering TensorFlow 2.x is a must to read and practice if you are interested in building various kinds of neural networks with high level TensorFlow and Keras APIs. The book begins with the basics of TensorFlow and neural network concepts, and goes into specific topics like image classification, object detection, time series forecasting and Generative Adversarial Networks. While we are practicing TensorFlow 2.6 in this book, the version of Tensorflow will change with time; however you can still use this book to witness how Tensorflow outperforms. This book includes the use of a local Jupyter notebook and the use of Google Colab in various use cases including GAN and Image classification tasks. While you explore the performance of TensorFlow, the book also covers various concepts and in-detail explanations around reinforcement learning, model optimization and time series models.TABLE OF CONTENTS1. Getting started with TensorFlow 2.x2. Machine Learning with TensorFlow 2.x3. Keras based APIs4. Convolutional Neural Networks in Tensorflow5. Text Processing with TensorFlow 2.x6. Time Series Forecasting with TensorFlow 2.x7. Distributed Training and DataInput pipelines8. Reinforcement Learning9. Model Optimization10. Generative Adversarial Networks
Embedded Robotics
This textbook presents a unique examination of mobile robots and autonomous vehicles using embedded systems, from introductory to advanced level. It is structured in four parts, dealing with Embedded Systems (processors, sensors, actuators, control, multitasking and communication), Robot Hardware (driving and walking robots, autonomous boats and planes, as well as robot manipulators), Robot Software (localization, navigation, image processing and automotive systems), and Artificial Intelligence (neural networks, genetic algorithms and deep learning). The book is organized for ease of use, with numerous figures, photographs, and worked example programs. The book is written as a text for courses in computer science, computer engineering, IT, electronics engineering, and mechatronics, as well as a guide for robot hobbyists and researchers. In this 4th edition the text has been thoroughly updated and extended. It now uses the Raspberry Pi and Arduino embedded processors for all mobile robot systems.
Searching for Trust
Searching for Trust explores the intersection of trust, disinformation, and blockchain technology in an age of heightened institutional and epistemic mistrust. It adopts a unique archival theoretic lens to delve into how computational information processing has gradually supplanted traditional record keeping, putting at risk a centuries-old tradition of the 'moral defense of the record' and replacing it with a dominant ethos of information-processing efficiency. The author argues that focusing on information-processing efficiency over the defense of records against manipulation and corruption (the ancient task of the recordkeeper) has contributed to a diminution of the trustworthiness of information and a rise of disinformation, with attendant destabilization of the epistemic trust fabric of societies. Readers are asked to consider the potential and limitations of blockchains as the technological embodiment of the moral defense of the record and as means to restoring societal trust in an age of disinformation.
Should You Believe Wikipedia?
As we interact online we are creating new kinds of knowledge and community. How are these communities formed? How do we know whether to trust them as sources of information? In other words, Should we believe Wikipedia? This book explores what community is, what knowledge is, how the internet facilitates new kinds of community, and how knowledge is shaped through online collaboration and conversation. Along the way the author tackles issues such as how we represent ourselves online and how this shapes how we interact, why there is so much bad behavior online and what we can do about it. And the most important question of all: What can we as internet users and designers do to help the internet to bring out the best in us all?
AI 2021: Advances in Artificial Intelligence
This book constitutes the proceedings of the 34th Australasian Joint Conference on Artificial Intelligence, AI 2021, held in Sydney, NSW, Australia, in February 2022.* The 64 full papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers were organized in topical sections named: Ethical AI, Applications, Classical AI, Computer Vision and Machine Learning, Natural Language Processing and Data Mining, and Network Analysis. *The conference was postponed from December 2021 to February 2022 and held virtually due to the COVID-19 pandemic.
Computational Intelligence
This present book includes a set of selected revised and extended versions of the best papers presented at the 10th International Joint Conference on Computational Intelligence (IJCCI 2018), held in Seville, Spain, from 18 to 20 September 2018, which covers four thriving fields in Computational Intelligence: Evolutionary Computation, Fuzzy Computation, Neural Computation, and Cognitive and Hybrid Systems. Besides presenting the recent advances in these areas, the book aims, on the one hand, to aggregate new and innovative solutions for confirmed researchers and, on the other hand, to provide a source of information and/or inspiration for young researchers or learners interested in the ever-increasing and current field of Computational Intelligence. This book constitutes a precious provision of knowledge for individual researchers as well as representing a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.
Computational Processing of the Portuguese Language
This book constitutes the proceedings of the 15th International Conference on Computational Processing of the Portuguese Language, PROPOR 2021, held in Fortaleza, Brazil, in March 2021. The 36 full papers presented together with 4 short papers were carefully reviewed and selected from 88 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural language processing tasks; and multilinguality.
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.
Reproducible Data Science with Pachyderm
Create scalable and reliable data pipelines easily with PachydermKey Features: Learn how to build an enterprise-level reproducible data science platform with PachydermDeploy Pachyderm on cloud platforms such as AWS EKS, Google Kubernetes Engine, and Microsoft Azure Kubernetes ServiceIntegrate Pachyderm with other data science tools, such as Pachyderm NotebooksBook Description: Pachyderm is an open source project that enables data scientists to run reproducible data pipelines and scale them to an enterprise level. This book will teach you how to implement Pachyderm to create collaborative data science workflows and reproduce your ML experiments at scale.You'll begin your journey by exploring the importance of data reproducibility and comparing different data science platforms. Next, you'll explore how Pachyderm fits into the picture and its significance, followed by learning how to install Pachyderm locally on your computer or a cloud platform of your choice. You'll then discover the architectural components and Pachyderm's main pipeline principles and concepts. The book demonstrates how to use Pachyderm components to create your first data pipeline and advances to cover common operations involving data, such as uploading data to and from Pachyderm to create more complex pipelines. Based on what you've learned, you'll develop an end-to-end ML workflow, before trying out the hyperparameter tuning technique and the different supported Pachyderm language clients. Finally, you'll learn how to use a SaaS version of Pachyderm with Pachyderm Notebooks.By the end of this book, you will learn all aspects of running your data pipelines in Pachyderm and manage them on a day-to-day basis.What You Will Learn: Understand the importance of reproducible data science for enterpriseExplore the basics of Pachyderm, such as commits and branchesUpload data to and from PachydermImplement common pipeline operations in PachydermCreate a real-life example of hyperparameter tuning in PachydermCombine Pachyderm with Pachyderm language clients in Python and GoWho this book is for: This book is for new as well as experienced data scientists and machine learning engineers who want to build scalable infrastructures for their data science projects. Basic knowledge of Python programming and Kubernetes will be beneficial. Familiarity with Golang will be helpful.
Restful Web API Patterns and Practices Cookbook
Many organizations today orchestrate and maintain apps that rely on other people's services. Software designers, developers, and architects in those companies often work to coordinate and maintain apps based on existing microservices, including third-party services that run outside their ecosystem. This cookbook provides proven recipes to help you get those many disparate parts to work together in your network. Author Mike Amundsen provides step-by-step solutions for finding, connecting, and maintaining applications designed and built by people outside the organization. Whether you're working on human-centric mobile apps or creating high-powered machine-to-machine solutions, this guide shows you the rules, routines, commands, and protocols--the glue--that integrates individual microservices so they can function together in a safe, scalable, and reliable way. Design and build individual microservices that can successfully interact on the open web Increase interoperability by designing services that share a common understanding Build client applications that can adapt to evolving services without breaking Create resilient and reliable microservices that support peer-to-peer interactions on the web Use web-based service registries to support runtime "find-and-bind" operations that manage external dependencies in real time Implement stable workflows to accomplish complex, multiservice tasks consistently
Sense, Feel, Design
This book contains a series of revised papers selected from 7 workshops organized by 18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021, which was held in September 2021 in Bari, Italy. The 15 papers included in this volume were carefully reviewed and selected from 30 submissions. They show the design of interactive technologies addressing one or more United Nations' Sustainable Development Goals, to deal with evolving contexts of use in today's and future application domains and its influence on human-centered socio-technical system design and devel-opment practice, share educational resources and approaches to support the process of teaching and learning HCI Engineering (HCI-E), share educational resources and approaches to support the process of teaching and learning HCI Engineering (HCI-E), and address and discuss geopolitical issues in Human-Computer Interaction as a field of knowledge and practice.Chapter "Extreme Citizen Science Contributions to the Sustainable Development Goals: Challenges and Opportunities for a Human-Centred Design Approach" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Ccks 2021 - Evaluation Track
This volume constitutes papers presented at the Evaluation Track of the 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, held in Guangzhou, China, in December 2021.The 17 competition papers went through a rigorious peer review and were accepted for publication. CCKS 2021 technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs.
Pan-African Artificial Intelligence and Smart Systems
This book constitutes the refereed post-conference proceedings of the First International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2021, which was held in Windhoek, Namibia, in September 2021. The 17 revised full papers presented were carefully selected from 41 submissions. The theme of PAAISS 2021 was "Advancing AI research in Africa" and the papers are arranged according to subject areas: Deep Learning; Classification and Pattern Recognition; Neural Networks and Support Vector Machines; Smart Systems.
Intelligent Human Computer Interaction
This volume constitutes the refereed proceedings of the 13th International Conference on Intelligent Human Computer Interaction, IHCI 2021, which took place in Kent, OH, USA, in December 2021. The 59 full and 9 short papers included in these proceedings were carefully reviewed and selected from a total of 142 submissions. The papers were organized in topical sections named human centered AI; and intelligent interaction and cognitive computing
Behind Deep Blue
The riveting quest to construct the machine that would take on the world's greatest human chess player--told by the man who built it On May 11, 1997, millions worldwide heard news of a stunning victory, as a machine defeated the defending world chess champion, Garry Kasparov. Behind Deep Blue tells the inside story of the quest to create the mother of all chess machines and what happened at the two historic Deep Blue vs. Kasparov matches. Feng-hsiung Hsu, the system architect of Deep Blue, reveals how a modest student project started at Carnegie Mellon in 1985 led to the production of a multimillion-dollar supercomputer. Hsu discusses the setbacks, tensions, and rivalries in the race to develop the ultimate chess machine, and the wild controversies that culminated in the final triumph over the world's greatest human player. With a new foreword by Jon Kleinberg and a new preface from the author, Behind Deep Blue offers a remarkable look at one of the most famous advances in artificial intelligence, and the brilliant toolmaker who invented it.
Adaptive Machine Learning Algorithms with Python
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use. Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non-stationary data with minimal compute, memory, latency, and bandwidth. Upon finishing this book, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and be able to derive new algorithms for your own use cases. You will also come away with solutions to high volume time-varying data with high dimensionality in a low compute, low latency environment. What You Will Learn Apply adaptive algorithms to practical applications and examplesUnderstand the relevant data representation features and computational models for time-varying multi-dimensional dataDerive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real dataSpeed up your algorithms and put them to use on real-world stationary and non-stationary dataMaster the applications of adaptive algorithms on critical edge device computation applications Who This Book Is ForMachine learning engineers, data scientist and architects, software engineers and architects handling edge device computation and data management.
Representative Democracy as Kitsch, and Artificial Intelligence’s Promise of Emancipation
The organization of societies, like architecture, is an art. Whether actually older or not, the origins of the concept of democracy pass through its most famous and universally appreciated instance known as Athenian democracy, as recounted by Herodotus. As a characteristic of the current social progress directions, authority-opposing trends of modernism and post-modernism find significant support in new technology via less falsifiable decentralization based on crypto-currencies, blockchain, social media, search engines, massive open online courses, and other products of the Internet era.
Pattern Recognition and Information Processing
This book constitutes the refereed proceedings of the 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, held in Minsk, Belarus, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 17 revised full papers were carefully reviewed and selected from 90 submissions. The papers present a discussion on theoretical and applied aspects of computer vision, recognition of signals and images, the use of distributed resources, and high-performance systems.
Artificial Intelligence Applications in a Pandemic
COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we have come across myriad challenges during this pandemic. Scientists and developers are learning and fi nding ways to use artifi cial intelligence applications and natural language processing to comprehend and tackle this disease. AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on fi nding how AI can be helpful in monitoring situations from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and those involved in managing a global pandemic. Features: - Directs the attention to the smart digital healthcare system in this COVID-19 pandemic- Simulates novel investigations and how they will be beneficial in understanding the pandemic- Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientifi skill gaps- Explains some interesting and diverse types of challenges and data-driven healthcare applications
On Rationality, Artificial Intelligence and Economics
The world we live in presents plenty of tricky, impactful, and hard-tomake decisions to be taken. Sometimes the available options are ample, at other times they are apparently binary, either way, they often confront us with dilemmas, paradoxes, and even denial of values.In the dawn of the age of intelligence, when robots are gradually taking over most decision-making from humans, this book sheds a bit of light on decision rationale. It delves into the limits of these decision processes (for both humans and machines), and it does so by providing a new perspective that is somehow opposed to orthodox economics. All Economics reflections in this book are underlined and linked to Artificial Intelligence.The authors hope that this comprehensive and modern analysis, firmly grounded in the opinions of various groundbreaking Nobel laureate economists, may be helpful to a broad audience interested in how decisions may lead us all to flourishing societies. That is, societies in which economic blunders (caused by over simplification of problems and super estimation of tools) are reduced substantially.
Cloud Native Devops with Kubernetes
Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show you what Kubernetes can do-and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems with software tools currently in use. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, exploring patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles. Understand containers and Kubernetes-no experience necessary Run your own applications on managed cloud Kubernetes services or on-prem environments Design your own cloud native services and infrastructure Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for observability and monitoring Secure your containers and clusters in production
CAREC Digital Strategy 2030
The Central Asia Regional Economic Cooperation (CAREC) Digital Strategy 2030 aims as a catalyst for regional cooperation on digital technologies among the program's member countries.The strategy provides a mechanism to promote policy design, capacity building, and dialogue on digital technologies to address social and economic challenges posed by the rapid development of disruptive technologies and the coronavirus diseases (COVID-19) pandemic. It seizes the opportunity to leverage digital technologies to recover and build-back-better.
Fluctuation-Induced Network Control and Learning
From theory to application, this book presents research on biologically and brain-inspired networking and machine learning based on Yuragi, which is the Japanese term describing the noise or fluctuations that are inherently used to control the dynamics of a system. The Yuragi mechanism can be found in various biological contexts, such as in gene expression dynamics, molecular motors in muscles, or the visual recognition process in the brain. Unlike conventional network protocols that are usually designed to operate under controlled conditions with a predefined set of rules, the probabilistic behavior of Yuragi-based control permits the system to adapt to unknown situations in a distributed and self-organized manner leading to a higher scalability and robustness.The book consists of two parts. Part 1 provides in four chapters an introduction to the biological background of the Yuragi concept as well as how these are applied to networking problems. Part 2 provides additional contributions that extend the original Yuragi concept to a Bayesian attractor model from human perceptual decision making. In the six chapters of the second part, applications to various fields in information network control and artificial intelligence are presented, ranging from virtual network reconfigurations, a software-defined Internet of Things, and low-power wide-area networks.This book will benefit those working in the fields of information networks, distributed systems, and machine learning who seek new design mechanisms for controlling large-scale dynamically changing systems.
Mike Meyers’ CompTIA Network＋ Guide to Managing and Troubleshooting Networks, Sixth Edition (Exam N10-008)
This fully updated four-color textbook is designed for classroom use and covers every topic on the latest version of the challenging CompTIA Network+ exam Written by Mike Meyers, the leading CompTIA certification and training expert, this full-color resource prepares students for the CompTIA Network+ exam and puts you on the path to becoming an expert networking professional. Thoroughly revised for the current version of the CompTIA Network+ exam, the book contains helpful on-the-job advice, hands-on examples, chapter summaries, key terms quizzes, review questions, lab projects, and hundreds of photographs and illustrations. Mike Meyers' CompTIA Network+ Guide to Managing and Troubleshooting Networks, Sixth Edition (Exam N10-008) covers the latest concepts and technologies, including basic datacenter, cloud, and virtual networking concepts. Students will learn networking fundamentals and best practices, and networking fundamentals while following the path to becoming an effective networking professional. Special design elements throughout reinforce salient points while preparing you for exam day.Contains 100% coverage of every objective for CompTIA Network+ exam N10-008Online content includes 100 accurate practice questions, a self-assessment practice exam engine, videos and lab simulations from Mike Meyers, and on-the-job tools and utilitiesWritten by CompTIA certification and training guru Mike MeyersInstructor materials and answer keys are available to adopting instructors through your McGraw Hill sales representative (answers are not printed in the book)
Metaverse For Beginners and Advanced
Do all trends come and go? How about a trend that changes the world forever or creates a new world entirely?Now, this is where the intrigue begins. There is so much going on in the world, some of which we cannot see with our eyes--only with a special headset or goggles. Call it magic, if you like.The tech world is creating a trailblazer; that is what this noise is about. A world where the unseen, unheard of, and only thought-of is birthed. This is called "The Metaverse." Will the future be related to this new world? Are we being invaded? Better yet, are we the invasion?"Metaverse For Beginners and Advanced" is a book where the author describes this subject in an easy, descriptive, and detailed manner.The following areas are explained vividly for your utmost comprehension: What Non-Fungible Tokens are, their role, and importance to the MetaverseUnderstanding Metaverse Investment, simple steps in investing, and where to make your investmentsBuying Land in Metaverse, the requirements, including different types of real estateThe Metaverse Cryptocurrency and the projects in its spaceWeb 3.0 and its uniqueness to the MetaverseThe challenges the Metaverse is faced with, how they are managed, and what it needs to functionOpportunities opened as a result of the Metaverse and how to invest in themNew jobs that will be created because of this technology, as well as the skills needed to be relevantMajor Metaverse Blockchain and cryptocurrency projects that are thrivingThe relationship between cryptocurrency and the MetaverseHow cryptocurrency enhances the MetaverseThe administration of the Metaverse; Decentralization or Centralization?What the future holds for Metaverse and if it has a future at allThe author will explore these and other interesting areas. If you thought the Sun and other planets, including the Earth we live in, is all there is to the universe, get set for an out-of-space experience--don't forget to put on your virtual reality headset! What are you waiting for? Add this book to your cart to get started!
The Application of Artificial Intelligence
Part I, Introduction.- An Introduction to Machine Learning and Artificial Intelligence (AI).- Part II, An In-Depth Overview of Machine Learning.- Machine Learning Algorithms.- Performance Evaluation of Machine Learning Models.- Machine Learning Data.- Part III, Automatic Speech Recognition.- Automatic Speech Recognition.- Part IV, Biometrics Recognition.- Face Recognition.- Speaker Recognition.- Part V, Machine Learning by Example.- Machine Learning by Example.- Part VI, The AI-Toolkit: Machine Learning Made Simple.- The AI-Toolkit: Machine Learning Made Simple.- App. A, From Regular Expressions to HMM.- References.- Index.
Head and Neck Tumor Segmentation and Outcome Prediction
This book constitutes the Second 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic.The 29 contributions presented, as well as an overview paper, were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 325 delineated PET/CT images was made available for training.
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.
Engineering Multi-Agent Systems
This book constitutes revised selected papers from the 9th International Workshop on Engineering Multi-Agent Systems, EMAS 2021, which was held during May 3-4, 2021. The conference was initially planned to take place in London, UK, but changed to an online event due to the COVID-19 pandemic. The 20 full papers and 1 short paper included in this volume were carefully reviewed and selected from a total of 27 submissions. The contributions deal with agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.
AI by Design
This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology, explores technology, economics, real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction, she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelligence. This book explains how to design for a future with AI so that, rather than herald our downfall, it helps us achieve a new renaissance.
2D Computer Vision: Principles, Algorithms and Applications
This special compendium introduces the basic principles, typical methods and practical techniques of 2D computer vision. The volume comprehensively covers the introductory content of computer vision and the materials are selected based on courses conducted in the past 20 years.The useful textbook provides numerous examples and self-test questions (including hints and answers) through intuitive explanations to help readers understand abstract concepts.This unique reference text provides the first computer vision course service for undergraduates of related majors in university and colleges. It also allows teachers to carry out online courses and strengthen teacher-student interaction when teaching.
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).
Hands-On Machine Learning with Python
Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios.The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoreticaland practical lessons. The third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks. The final chapter contains a detailed end-to-end solution with neural networks in Pytorch.After completing Hands-on Machine Learning with Python, you will be able to implement machine learning and neural network solutions and extend them to your advantage. What You'll LearnReview data structures in NumPy and Pandas Demonstrate machine learning techniques and algorithmUnderstand supervised learning and unsupervised learning Examine convolutional neural networks and Recurrent neural networksGet acquainted with scikit-learn and PyTorchPredict sequences in recurrent neural networks and long short term memory Who This Book Is ForData scientists, machine learning engineers, and software professionals with basic skills in Python programming.
Integrated Uncertainty in Knowledge Modelling and Decision Making
This book constitutes the refereed proceedings of the 98th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2021, held in Ishikawa, Japan, in March 2022. The 30 full papers presented were carefully reviewed and selected from 46 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision making, optimization and statistical methods, pattern classification and data analysis, machine learning, and economic applications.
AI Ethics and Higher Education
Artificial intelligence (AI) is exerting unprecedented pressure on the global higher educational landscape in transforming recruitment processes, subverting traditional pedagogy, and creating new research and institutional opportunities. These technologies require contextual and global ethical analysis so that they may be developed and deployed in higher education in just and responsible ways. To-date, these efforts have been largely focused on small parts of the educational environments leaving most of the world out of an essential contribution. This volume acts as a corrective to this and contributes to the building of competencies in ethics education and to broader, global debates about how AI will transform various facets of our lives, not the least of which is higher education.
The Cybersecurity to English Dictionary
The speed of change in the world of cybersecurity is amazing. If you attend a meeting in which cybersecurity is discussed, it can be like listening to a foreign language, leading you to ask what on earth people who use terms like blue team, SASE, fileless malware and quantum cryptography are talking about.This dictionary began life as the reference section at the back of my first book, Cybersecurity for Beginners, and has taken on a life of its own as a highly-regarded source that defines hundreds of the primary cybersecurity terms. It is designed to be a useful companion for anyone who wants to keep up with cybersecurity terms or confound others with their understanding.This fifth edition includes over 100 additional terms to reflect the evolving trends in cybersecurity, cybercrime and social engineering. Finally, cybersecurity does not need to sound like a different language. This clear and concise dictionary of cybersecurity terminology is suitable for both experts and layperson.
Applications of Computational Intelligence
This book constitutes revised and extended selected papers of the 4th IEEE Colombian Conference, ColCACI 2021, which was held virtually in Colombia at the end of May 2021.The 7 full papers presented in the volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on biomedical applications and alternative proposals and its applications.
Systems, Signals and Image Processing
This volume constitutes selected papers presented at the 28th International Conference on Systems, Signals and Image Processing, IWSSIP 2021, held in Bratislava, Slovakia, in June 2021. Due to the COVID-19 pandemic the conference was held online. The presented 14 full and 5 short papers were thorougly reviewed and selected from the 76 submissions. The papers focus on various aspects of advanced signal processing in different scientific areas, including filter design, Fourier and other transforms, feature extraction, machine learning and system adaptation to user-oriented products like 5G networks, IoT, virtual teleport or tele-surgery operations.
Artificial Intelligence for Knowledge Management, Energy, and Sustainability
This book features a selection of extended papers presented at the 9th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, and the 1st International Workshop on Energy and Sustainability, AIES 2021, named AI4KMES 2021 and held in conjunction with IJCAI 2021 in August 2021. The conference was planned to take place in Montr矇al, Canada, but changed to an online event due to the COVID-19 pandemic. The 15 papers included in this book were carefully reviewed and selected from 17 submissions. They deal with knowledge management and sustainability challenges, focusing on methodological, technical and organizational aspects of AI used for facing related complex problems. This year's topic was AI for Knowledge Management, Energy and Sustainable Future.
Biomedical Image Registration, Domain Generalisation and Out-Of-Distribution Analysis
This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic. The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2021), Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and Learn2Reg (L2R 2021). The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.
Future Enterprise
About The BookOnly through understanding new technology and effective planning can one pioneer the maximal use of such technology. In this era, nothing will stop nations and corporations from seeking to own these new technologies--so it is imperative that you do the same. Today, in both our public and private institutions, comprehensive understanding of technology is rare, especially by general staff or even decision-makers who are not technological specialists. This can lead to an organization wasting resources on digital transformation projects due to a lack of clarity and understanding or setting impossibly lofty goals. This book sets a general framework that can easily be understood by anyone for digital transformation projects. With a focus on artificial intelligence and quantum computing, truly technologies of the future, you can understand this technology and adapt it to transform your institution into a "smart" organization. Throughout the book, you will learn from different perspectives, reports, and even events to understand the impact these technologies will have. Whether you're in the private or public sector, you will find practical and easily understandable advice for utilizing technology in the future.
Artificial Superintelligence Handbook IV
This is the 4th and final book in the Artificial Superintelligence Handbook series and details the design of a Dimensional Cognitive Artificial General Intelligence as the final stage in the progression from designing and building narrow AI to building advanced human level Cognitive Artificial Intelligence. The series is a roadmap to the development of Superintelligence as well as many considerations, threats and hope for the survival of humanity. Each book in the series is a step toward what it takes to build a truly human level artificial cognition based on the way our human mind operates and functions and this book pushes the boundary to the extremes of human contextual cognition. In this book, I not only look at considerations for the final stage of Superintelligence or the use of dimensional context to comprehend and respond to a world of stimuli as fast as a human mind but also what this may mean for our world and the hope that it brings. I also discuss some of the newest AI methods and designs from self supervised neural nets and transformers to extreme Cognitive AI processors. The components of Superintelligence are being built by wealthy tech giants, governments and small labs. These designs are 'in the wild'. We must train the next generation to have any hope of competing in the new world of Artificial Superintelligence. Cognitive AI will also open the door to the extension of our own human cognition launching a new renaissance of human ingenuity, thought, creativity, innovation and opportunity and perhaps push the evolution of our species to that of extra terrestrial. Superintelligence may also be the only hope we humans have of saving the earth from a self afflicted destruction or one wrought by nature. Superintelligence is the best hope humans have for making our planet sustainable, ending the wealth gap, eliminating violence and war, ensuring freedom and one day soon, traveling to other planets and other solar systems.This book is dedicated to all who reachbeyond the boundaries of their own existenceto seek innovation solely for the benefit ofthose they will never meet, in worlds they will never occupyand in the hope of peace and tranquility they will never experienceuntil they pass from this life.
Cloud Security for Dummies
Embrace the cloud and kick hackers to the curb with this accessible guide on cloud security Cloud technology has changed the way we approach technology. It's also given rise to a new set of security challenges caused by bad actors who seek to exploit vulnerabilities in a digital infrastructure. You can put the kibosh on these hackers and their dirty deeds by hardening the walls that protect your data. Using the practical techniques discussed in Cloud Security For Dummies, you'll mitigate the risk of a data breach by building security into your network from the bottom-up. Learn how to set your security policies to balance ease-of-use and data protection and work with tools provided by vendors trusted around the world. This book offers step-by-step demonstrations of how to: Establish effective security protocols for your cloud application, network, and infrastructure Manage and use the security tools provided by different cloud vendors Deliver security audits that reveal hidden flaws in your security setup and ensure compliance with regulatory frameworks As firms around the world continue to expand their use of cloud technology, the cloud is becoming a bigger and bigger part of our lives. You can help safeguard this critical component of modern IT architecture with the straightforward strategies and hands-on techniques discussed in this book.
Inductive Logic Programming
This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.
