Foundations of Intelligent Systems
This book constitutes the proceedings of the 26th International Symposium on Foundations of Intelligent Systems, ISMIS 2022, held in Cosenza, Italy, in October 2022. The 31 regular papers, 11 short papers and 4 industrial papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections as follows: Social Media and Recommendation; Natural Language Processing; Explainability; Intelligent Systems; Classification and Clustering; Complex Data; Medical Applications; Industrial Applications.
Creative Solutions for a Sustainable Development
This book constitutes the refereed proceedings of the 21st International TRIZ Future Conference on Automated Invention for Smart Industries, TFC 2021, held virtually in September 2021 and sponsored by IFIP WG 5.4. The 28 full papers and 8 short papers presented were carefully reviewed and selected from 48 submissions. They are organized in the following thematic sections: inventiveness and TRIZ for sustainable development; TRIZ, intellectual property and smart technologies; TRIZ: expansion in breadth and depth; TRIZ, data processing and artificial intelligence; and TRIZ use and divulgation for engineering design and beyond. Chapter 'Domain Analysis with TRIZ to Define an Effective "Design for Excellence' is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Emerging Computing Techniques in Science
We are in the era of computing. Computing is experiencing its most exciting moments in history, permeating nearly all areas of human activities. Computing is any activity that involves using computers. It includes designing and building hardware and software systems for a wide range of purposes. It has resulted in deep changes in infrastructures and development practices of computing. It is a critically important, integral component of modern life. Advancement in technology has led to several computing schemes such as cloud computing, grid computing, green computing, DNA computing, soft computing, organic computing, etc. This book covers the most important 70 computing techniques. It is divided into three volumes to cover all the topics. This is the second volume and it has 24 chapters. The book is a friendly introduction to various computing techniques. The presentation is clear, succinct, and informal, without proofs or rigorous definitions. The book provides researchers, students, and professionals a comprehensive introduction, applications, benefits, and challenges for each computing technology.
Metaverse
Are you looking for exciting new ways to invest?Have you heard of the Metaverse and its amazingly creative opportunities?How would you use it to generate passive income streams that will increase your wealth? The Metaverse is here now, and it promises a whole new way for investors to get creative and make vast fortunes from it. From Virtual Reality (VR) to NFT's and Cryptos, with many other exciting opportunities in between, the Metaverse has openings for us all to create wealth that will improve our lives and give us everything we ever wanted. But how would you use the Metaverse to improve your financial position when you don't know the first thing about it? Inside the pages of this book, Metaverse, you will find all the best ideas for investing and making passive income streams that will keep your bank account topped up, including: - The potential of the Metaverse- Advantages and disadvantages- How to make a VR experience- NFT's and how they affect our virtual and physical lives- Web 3.0 and its future- Adopting a Blockchain strategy- Altcoins and cryptocurrencies- And much more...You may never have heard about the Metaverse before and even if you have you may believe that it is something so complex that you could never make it work in your world. It's time to dispel those thoughts and to start thinking differently so that you can enjoy a lucrative future and Metaverse will help get you started. GET NOW the book that will change your life!( new version )
Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. the Paams Collection
This book constitutes the proceedings of the workshops co-located with the 20th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2022, held in L'Aquila, Italy, in July 2022.The total of 25 full papers presented in this volume were carefully reviewed and selected from 39 submissions.The papers in this volume stem from the following meetings: Workshop on Artificial Intelligence for Industry (AI4Industry); Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA); Workshop on Character Computing (C2); Workshop on Deep Learning Applications (DeLA); Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI); Workshop on Multi-agent based Applications for Modern Energy Markets, Smart Grids and Future Power Systems (MASGES).
A Different Look at Artificial Intelligence
Digitalization is inexorably conquering our lives - also with artificial intelligence (AI) methods. Search engine operators, social network operators and shipping platform operators know more and more about us, about our buying and living habits. User data has become a valuable commodity. We live and work with computer systems that behave intelligently or are even intelligent. Questions like "Can machines be intelligent?" or "Can they have emotions or a consciousness?" keep popping up. To enable readers to form their own opinion on these questions, the authors clearly explain individual techniques or methods of AI and relate them to approaches from philosophy, art and neurobiology. Topics such as logical reasoning, knowledge and memory play just as important a role as machine learning and artificial neural networks. In the foreground is the question of what constitutes memory and thinking, what role our emotions play when we as humans move through life, through the world. A book that offers unusual perspectives on artificial intelligence.
Creating Agile Organizations
Design Your Organization for Maximum Agile Success at Scale "[A] unique view of organizational agility. Cesario and Ilia first describe the [foundational] tools and vocabulary to think about agile enterprise-level change. The second section is a practical approach to adoption. It marries the foundational elements into a people and customer centric approach to change. The book is epic in scope ... but it manages to present a cookbook for agile adoption and change." --From the Foreword by Dave West, CEO, Scrum.org "Cesario and Ilia ... understand that a key element of successful change to being adaptive at scale is Organizational Design (OD)--and that OD is something senior managers need to own, master, create, and lead, not delegate. ... [F]ast delivery and learning isn't enough at scale. Without other adaptive OD elements in place, there might not be any concrete change. ... [A] wonderful book from two passionate people with years in the trenches involved in large-scale adaptive development." --From the Foreword by Craig Larman, co-creator, Large-Scale Scrum (LeSS) For Agile to succeed at scale, strategy, structures, processes, reward systems, and people practices must align with and reinforce each other across the entire organization. Creating Agile Organizations is about making that happen. Whether you're a leader, Scrum Master, or trainer, this book will help you use effective Organizational Design (OD) to achieve successful Agile transformation at the enterprise level. Drawing on years of experience scaling Scrum, renowned Large-Scale Scrum (LeSS) experts Cesario Ramos and Ilia Pavlichenko present proven techniques for use with any technology, in any large environment. In the context of a true systems-thinking approach, they provide specific solutions for challenges such as preparing and facilitating large-scale Scrum meetings, honing newly relevant leadership skills, and addressing challenges that cut across the entire organization. This book includes a library of tested tools for effective Agile leadership, including Product Definition Guides for describing any new product and a Feature Heat Map for designing teams and entire organizations. Organizing for adaptability, making strategic optimization choices, and choosing informed tradeoffs Exploring and applying proven OD principles at the leadership level Taking a birds-eye view of the activities most crucial to large-scale adoption Coaching to make Agile transformation successful across your organization Planning, designing, and facilitating Agile workshops that work Preparing and launching highly effective, well-aligned Product Groups Coaching teams and guiding product ownership in large groups
Extended Reality
This two volume proceedings, LNCS 13445 and 13446, constitutes the refereed proceedings of the 9th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, XR Salento 2022, held in Lecce, Italy, July 6-8, 2022. Due to COVID-19 pandemic the conference was held as a hybrid conference.The 42 full and 16 short papers were carefully reviewed and selected from 84 submissions. The papers discuss key issues, approaches, ideas, open problems, innovative applications and trends in virtual reality, augmented reality, mixed reality, applications in cultural heritage, in medicine, in education, and in industry.
Pro Deep Learning with Tensorflow 2.0
This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. You'll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book, you'll explore unsupervised learning frameworks that reflect the current state of deep learning methods, such as autoencoders and variational autoencoders. The final chapter covers the advanced topic of generative adversarial networks and their variants, such as cycle consistency GANs and graph neural network techniques such as graph attention networks and GraphSAGE. Upon completing this book, you will understand the mathematical foundations and concepts of deep learning, and be able to use the prototypes demonstrated to build new deep learning applications. What You Will Learn Understand full-stack deep learning using TensorFlow 2.0Gain an understanding of the mathematical foundations of deep learning Deploy complex deep learning solutions in production using TensorFlow 2.0Understand generative adversarial networks, graph attention networks, and GraphSAGE Who This Book Is For: Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts.
Modern Deep Learning for Tabular Data
Deep learning is one of the most powerful tools in the modern artificial intelligence landscape. While having been predominantly applied to highly specialized image, text, and signal datasets, this book synthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data. Whether for finance, business, security, medicine, or countless other domain, deep learning can help mine and model complex patterns in tabular data - an incredibly ubiquitous form of structured data. Part I of the book offers a rigorous overview of machine learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant deep learning model designs - Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks - through both their 'default' usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge deep learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability. Each chapter comes with extensive visualization, code, and relevant research coverage. Modern Deep Learning for Tabular Data is one of the first of its kind - a wide exploration of deep learning theory and applications to tabular data, integrating and documenting novel methods and techniques in the field. This book provides a strong conceptual and theoretical toolkit to approach challenging tabular data problems.What You Will LearnImportant concepts and developments in modern machine learning and deep learning, with a strong emphasis on tabular data applications.Understand the promising links between deep learning and tabular data, and when a deep learning approach is or isn't appropriate.Apply promising research and unique modeling approaches in real-world data contexts.Explore and engage with modern, research-backed theoretical advances on deep tabular modelingUtilize unique and successful preprocessing methods to prepare tabular data for successful modelling. Who This Book Is ForData scientists and researchers of all levels from beginner to advanced looking to level up results on tabular data with deep learning or to understand the theoretical and practical aspects of deep tabular modeling research. Applicable to readers seeking to apply deep learning to all sorts of complex tabular data contexts, including business, finance, medicine, education, and security.
Scalable Uncertainty Management
This book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022.The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis.The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License.
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022.The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
Neural Computing for Advanced Applications
The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8-10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and theirindustrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).
Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. the Paams Collection
This book constitutes the proceedings of the 20th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2022, held in L'Aquila, Italy in July 2022. The 37 full papers in this book were reviewed and selected from 67 submissions. Another 10 demonstrations papers were selected from 11 submissions are presented here as short papers. The papers deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, education and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.
Applications of Artificial Intelligence in E-Healthcare Systems
Artificial intelligence (AI) is the simulation of intelligent processes using computer systems. Specialised software for writing and training machine learning algorithms is developed by providing a system with large amounts of labelled training data, analysing the data for correlations and patterns, and using these patterns to make predictions about future states. For example, an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples (eg. cancerous tissues in scans). AI programming focuses on three cognitive skills: learning, reasoning and self-correction. This book is about the novel applications of AI in e-healthcare, It includes various real-time/offline applications and case studies showcasing modern AI tools & technologies. The main objective of this book is to help with effective use of AI by describing innovative case studies and finding the scope for improvement across healthcare services.
Journey to Become a Google Cloud Machine Learning Engineer
Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skillsKey Features: A comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook Description: This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer.The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional.The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together.The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate.What You Will Learn: Provision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is for: Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.
What Is Machine Learning?
There is no question that artificial intelligence and technology have made many aspects of life easier and more convenient, but where does this leave the human labor as more and more sectors become automated? With robots learning from one another and becoming clever in their own right, it becomes prudent to take stock.
Test Automation Fundamentals
Test automation is an essential tool in today's software development environments. It increases testing efficiency and makes test procedures reliably repeatable.This book provides a complete overview of how to design test automation processes and integrate them into your organization or existing projects. It details functional and technical strategies and goes into detail on the relevant concepts and best practices. The book's main focus is on functional system testing.Topics covered: - An introduction to test automation- Objectives and success factors- Preparing for test automation- Introduction to generic test automation architectures- Design and development of a test automation solution- Risks and contingencies during deployment- Metrics and reporting- Transitioning manual testing to an automated environment- Verifying a test automation solution- Continuous improvementThe appendix contains an overview of software quality characteristics according to the ISO 25010 standard, and lists potential test automation applications within this context. It also provides an introduction to load and performance testing, and a sample catalog of criteria for selecting test automation tools.This book is fully compliant with the ISTQB(R) syllabus and, with its many explanatory examples, is equally suitable for preparation for certification, as a concise reference book for anyone who wants to acquire this essential skill, or for university-level study.
Cyber Physical Systems
Cyber Physical System (CPS) is an integration of computation, networking, and physical processes: the combination of several systems ofdifferent nature whose main purpose is tocontrol a physical process and, through feedback, adapt itself to new conditions, in real time.Cyber Physical System: Concepts and Applications includes an in-depth coverage of the latestmodels and theories that unify perspectives. It expresses the interacting dynamics of the computational and physical components of asystem in a dynamic environment. Covers automatic application of software countermeasures against physical attacks and impact of cyber physical system on industry 4.0 Explains how formal models provide mathematical abstractions to manage the complexity of a system design Offers a rigorous and comprehensive introduction to the principles of design, specification, modelling, and analysis of cyber physicalsystems Discusses the multiple domains where Cyber Physical system has a vital impact and provides knowledge about different models thatprovide mathematical abstractions tomanage the complexity of a system design Provides the rapidly expanding field of cyber-physical systems with a Long-needed foundational text by an established authority This book is primarily aimed at advanced undergraduates, graduates of computer science. Engineers will also find this book useful.
Open Semantic Technologies for Intelligent Systems
This book constitutes the refereed proceedings of the 11th International Conference on Open Semantic Technologies for Intelligent Systems, OSTIS 2021, held in Minsk, Belarus, during September 16-18, 2021.The 20 full papers included in this book were carefully reviewed and selected from 46 submissions. The papers are focused on the development of flexible and compatible technologies that provide fast and high-quality construction of intelligent systems for various purposes.
Diversity in Computer Science
This is an open access book that covers the complete set of experiences and results of the FemTech.dk research which we have had conducted between 2016-2021 - from initiate idea to societal communication. Diversity in Computer Science: Design Artefacts for Equity and Inclusion presents and documents the principles, results, and learnings behind the research initiative FemTech.dk, which was created in 2016 and continues today as an important part of the Department of Computer Science at the University of Copenhagen's strategic development for years to come. FemTech.dk was created in 2016 to engage with research within gender and diversity and to explore the role of gender equity as part of digital technology design and development. FemTech.dk considers how and why computer science as a field and profession in Denmark has such a distinct unbalanced gender representation in the 21st century. This book is also the story of how we(the authors) as computer science researchers embarked on a journey to engage with a new research field - equity and gender in computing - about which we had only sporadic knowledge when we began. We refer here to equity and gender in computing as a research field - but in reality, this research field is a multiplicity of entangled paths, concepts, and directions that forms important and critical insights about society, gender, politics, and infrastructures which are published in different venues and often have very different sets of criteria, values, and assumptions. Thus, part of our journey is also to learn and engage with all these different streams of research, concepts, and theoretical approaches and, through these engagements, to identify and develop our own theoretical platform, which has a foundation in our research backgrounds in Human-Computer Interaction broadly - and Interaction Design & Computer Supported Cooperative Work specifically.
Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling
The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.
Multi-Winner Voting with Approval Preferences
From fundamental concepts and results to recent advances in computational social choice, this open access book provides a thorough and in-depth look at multi-winner voting based on approval preferences. The main focus is on axiomatic analysis, algorithmic results and several applications that are relevant in artificial intelligence, computer science and elections of any kind.What is the best way to select a set of candidates for a shortlist, for an executive committee, or for product recommendations? Multi-winner voting is the process of selecting a fixed-size set of candidates based on the preferences expressed by the voters. A wide variety of decision processes in settings ranging from politics (parliamentary elections) to the design of modern computer applications (collaborative filtering, dynamic Q&A platforms, diversity in search results, etc.) share the problem of identifying a representative subset of alternatives. The study of multi-winner voting provides the principled analysis of this task. Approval-based committee voting rules (in short: ABC rules) are multi-winner voting rules particularly suitable for practical use. Their usability is founded on the straightforward form in which the voters can express preferences: voters simply have to differentiate between approved and disapproved candidates. Proposals for ABC rules are numerous, some dating back to the late 19th century while others have been introduced only very recently. This book explains and discusses these rules, highlighting their individual strengths and weaknesses. With the help of this book, the reader will be able to choose a suitable ABC voting rule in a principled fashion, participate in, and be up to date with the ongoing research on this topic.
Hci International 2022 - Late Breaking Papers. Design, User Experience and Interaction
Volume LNCS 13516 is part of the refereed proceedings of the 24th International Conference on Human-Computer Interaction, HCII 2022, which was held virtually during June 26 to July 1, 2022.A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.
Telematics and Computing
This book constitutes the proceedings of the 11th International Congress on Telematics and Computing, WITCOM 2022, held in Canc繳n, M矇xico, in November 2022. The 30 full papers presented in this volume were carefully reviewed and selected from 73 submissions. The papers are focused on the topics of artificial intelligence techniques, Data Science, Blockchain, environment Monitoring, Cybersecurity, Education, and software for communications protocols.
Embodied Human-Computer Interaction in Vocal Music Performance
This SpringerBrief provides a unique insight into the practice and research of the connections between voice, HCI and embodiment. Specifically, it explores how the voice can be embodied and mediated by means of gestural communication through sensor interfaces and aims to situate and contextualise various aspects that generate meaningful connections in such interactive interface performance. The author offers an approach for understanding creative practices between humans and computers in gestural live music performance, from the perspective of the embodied relationships created within such systems. Underlying practices, principles and sensor technologies that support creativity in embodied human-computer interaction in vocal music performance are examined and a dynamic framework and tools for anyone wishing to engage with this subject in depth are presented. The book is essential reading not only for musicians, composers, researchers, application developers, musicologists and educators but also for students and tertiary institutions as well as actors and dramaturgs in a music context.
Productionizing AI
This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you'll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You'll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The book is intended for those whose role demands overcoming budgetary barriers or constraints in accessing cloud credits to undertake the often difficult process of developing and deploying an AI solution. What You Will Learn Develop and deliver production-grade AI in one monthDeploy AI solutions at a low costWork around Big Tech dominance and develop MVPs on the cheapCreate demo-ready solutions without overly complex python scripts/notebooks Who this book is for: Data scientists and AI consultants with programming skills in Python and driven to succeed in AI.
Introduction to Transformers for Nlp
Get a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then, it introduces the Hugging Face ecosystem and the different libraries and models provided by it. Moving forward, it explains language models such as Google BERT with some examples before providing a deep dive into Hugging Face API using different language models to address tasks such as sentence classification, sentiment analysis, summarization, and text generation. After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able to solve problems using the Hugging Face library.What You Will LearnUnderstand language models and their importance in NLP and NLU (Natural Language Understanding)Master Transformer architecture through practical examplesUse the Hugging Face library in Transformer-based language modelsCreate a simple code generator in Python based on Transformer architectureWho This Book Is ForData Scientists and software developers interested in developing their skills in NLP and NLU (Natural Language Understanding)
Reinforcement Learning for Finance
This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library.Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN - two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision process, value function, policy, and policy gradients, with their mathematical formulations and learning algorithms. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming, covering concepts ranging from variables and graphs to automatic differentiation, layers, models, andloss functions.After completing this book, you will understand reinforcement learning with deep q and generative adversarial networks using the TensorFlow library.What You Will LearnUnderstand the fundamentals of reinforcement learningApply reinforcement learning programming techniques to solve quantitative-finance problemsGain insight into convolutional neural networks and recurrent neural networksUnderstand the Markov decision processWho This Book Is ForData Scientists, Machine Learning engineers and Python programmers who want to apply reinforcement learning to solve problems.
Continual Semi-Supervised Learning
This book constitutes the proceedings of the First International Workshop on Continual Semi-Supervised Learning, CSSL 2021, which took place as a virtual event during August 2021.The 9 full papers and 0 short papers included in this book were carefully reviewed and selected from 14 submissions.
Human Choice and Digital by Default: Autonomy Vs Digital Determination
This book constitutes the refereed proceedings of the 15th IFIP TC 9 International Conference on Human Choice and Computers, HCC15 2022, in Tokyo, Japan, in September 2022.The 17 full papers presented were carefully reviewed and selected from 32 submissions. Summaries of 2 keynote presentations are also included. The papers deal with the constantly evolving intimate relationship between humans and technology.
Lectures on Intelligent Systems
This textbook provides the reader with an essential understanding of computational methods for intelligent systems. These are defined as systems that can solve problems autonomously, in particular problems where algorithmic solutions are inconceivable for humans or not practically executable by computers. Despite the rapidly growing applications in this field, the book avoids application details, instead focusing on computational methods that equip the reader with the methodological tools and competencies necessary to tackle current and future complex applications. The book consists of two parts: computational intelligence methods for optimization, and machine learning. Part I begins with the concept of optimization, and introduces local search algorithms, genetic algorithms, and particle swarm optimization. Part II begins with an introduction to machine learning and covers several methods, many of which can be used as supervised learning algorithms, such as decision treelearning, artificial neural networks, genetic programming, Bayesian learning, support vector machines, and ensemble methods, plus a discussion of unsupervised learning. This textbook is written in a self-contained style, suitable for undergraduate or graduate students in computer science and engineering, and for self-study by researchers and practitioners.
A Brief History of Intelligence
This book introduces a variety of intelligence phenomena starting from the birth of the universe, including intelligence in physics, intelligence in chemistry, intelligence in biology, intelligence in humans and intelligence in machines. It uncovers the mystery of intelligence to the world and explores the natural phenomenon of intelligence. If understanding intelligence is regarded as a journey of a thousand miles, then this book is the first step to try. In the process of studying the phenomenon of intelligence and the nature of intelligence, our eyes cannot be limited to human intelligence. Instead, one should put our vision beyond human intelligence, consider different things in the universe, reach a new level, and study and explore the phenomenon of intelligence and the essence of intelligence on a new level.By looking at the various phenomena of intelligence since the birth of the universe, readers can see that intelligence is a natural phenomenon, similar to other naturalphenomena (e.g., the rolling of rocks and the melting of snow and ice). These phenomena occur to facilitate the stability of the universe, and the phenomenon of intelligence is no exception. The book is divided into 10 chapters, covering matter, energy and space in the origin of the universe, gravity in physics, the principle of least action, dissipative structures in chemistry, entropy increase, maximum entropy production, the definition of life, the emergence of life, the intelligence in plants, the intelligence in animals, the neocortex structure of the brain, the special thinking of human beings, the theory of the brain, artificial intelligence symbolism, connectionism, behaviorism, artificial general intelligence, metaverse, etc.This book can be used as a reference for students and researchers working in the artificial intelligence areas. It is also positioned as a popular science book interested in intelligent phenomena.
Emerging It/Ict and AI Technologies Affecting Society
This book presents the applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach. COVID-19, a worldwide pandemic, has limited many physical operational areas and at the same time has motivated to uplift the initiative to digitalize the world. Society is facing ever more intense and protracted humanitarian crises, and as a result, the global community is pressed to find new ways to help people and communities in need. This interdisciplinary book highlights the exchange of relevant trends and research results as well as the presentation of practical experiences gained while developing and testing elements of technology enhanced learning experiences with the help of emerging technologies like IT/ICT, AI, ML, edge computing, robotics automation, 5G for the betterment of humanity. It highlights the analytics and optimization issues impacting society and technology for example on security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people to create a secure tomorrow.
Computational and Corpus-Based Phraseology
This book constitutes the refereed proceedings of the 4th International Conference on Computational and Corpus-Based Phraseology, Europhras 2022, held in Malaga, Spain, in September 2022.The 16 full papers presented in this book were carefully reviewed and selected from 59 submissions. The papers in this volume cover a number of topics including general corpus-based approaches to phraseology, phraseology in translation and cross-linguistic studies, phraseology in language teaching and learning, phraseology in specialized languages, phraseology in lexicography, cognitive approaches to phraseology, the computational treatment of multiword expressions, and the development, annotation, and exploitation of corpora for phraseological studies.
Designing and Implementing Microsoft DevOps Solutions AZ-400 Exam Guide - Second Edition
Written by Microsoft MVPs and Azure experts, this comprehensive guide comes with self-study exercises to help you understand the concepts better and move closer to becoming a skilled Azure DevOps engineerKey Features: Explore a step-by-step approach to designing and creating a successful DevOps environmentUnderstand how to implement continuous integration and continuous deployment pipelines on AzureIntegrate and implement security, compliance, containers, and databases in your DevOps strategiesBook Description: The AZ-400 Designing and Implementing Microsoft DevOps Solutions certification helps DevOps engineers and administrators get to grips with practices such as continuous integration and continuous delivery (CI/CD), containerization, and zero downtime deployments using Azure DevOps Services.This new edition is updated with advanced topics such as site reliability engineering (SRE), continuous improvement, and planning your cloud transformation journey. The book begins with the basics of CI/CD and automated deployments, and then moves ahead to show you how to apply configuration management and Infrastructure as Code (IaC) along with managing databases in DevOps scenarios. As you make progress, you'll explore fitting security and compliance with DevOps and find out how to instrument applications and gather metrics to understand application usage and user behavior. This book will also help you implement a container build strategy and manage Azure Kubernetes Services. Lastly, you'll discover quick tips and tricks to confidently apply effective DevOps practices and learn to create your own Azure DevOps organization.By the end of this DevOps book, you'll have gained the knowledge needed to ensure seamless application deployments and business continuity.What You Will Learn: Get acquainted with Azure DevOps Services and DevOps practicesDiscover how to efficiently implement CI/CD processesBuild and deploy a CI/CD pipeline with automated testing on AzureIntegrate security and compliance in pipelinesUnderstand and implement Azure Container ServicesEffectively close the loop from production back to developmentApply continuous improvement strategies to deliver innovation at scalewho this book is for: The book is for anyone looking to prepare for the AZ-400 certification exam. Software developers, application developers, and IT professionals who want to implement DevOps practices for the Azure cloud will also find this book helpful. Familiarity with Azure DevOps basics, software development, and development practices is recommended but not necessary.
Logic Programming and Nonmonotonic Reasoning
This book constitutes the refereed proceedings of the 16th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2022, held in Genova, Italy, in September 2022. The 34 full papers and 5 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Technical Contributions; Systems; Applications. Statistical Statements in Probabilistic Logic Programming" and "Efficient Computation of Answer Sets via SAT Modulo Acyclicity and Vertex Elimination" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Chapters "Statistical Statements in Probabilistic Logic Programming" and "Efficient Computation of Answer Sets via SAT Modulo Acyclicity and Vertex Elimination" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Computational Collective Intelligence
This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical ​sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.
Extended Reality
This two volume proceedings, LNCS 13445 and 13446, constitutes the refereed proceedings of the First International Conference on Extended Reality, XR Salento 2022, held in Lecce, Italy, during July 6-8, 2022. Due to COVID-19 pandemic the conference was held as a hybrid conference.The 42 full and 16 short papers were carefully reviewed and selected from 84 submissions. The papers discuss key issues, approaches, ideas, open problems, innovative applications and trends in virtual reality, augmented reality, mixed reality, applications in cultural heritage, in medicine, in education, and in industry.
Virtual Reality and Mixed Reality
This book constitutes the refereed proceedings of the 19th International Conference on Virtual Reality and Mixed Reality, EuroXR 2022, held in Stuttgart, Germany, in September 2022.The 6 full and 2 short papers were carefully reviewed and selected from 37 submissions. The conference presents contributions on results and insights in Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), commonly referred to under the umbrella of Extended Reality (XR), including software systems, immersive rendering technologies, 3D user interfaces, and applications.
Genomics in the Azure Cloud
This practical guide bridges the gap between general cloud computing architecture in Microsoft Azure and scientific computing for bioinformatics and genomics. You'll get a solid understanding of the architecture patterns and services that are offered in Azure and how they might be used in your bioinformatics practice. You'll get code examples that you can reuse for your specific needs. And you'll get plenty of concrete examples to illustrate how a given service is used in a bioinformatics context. You'll also get valuable advice on how to: Use enterprise platform services to easily scale your bioinformatics workloads Organize, query, and analyze genomic data at scale Build a genomics data lake and accompanying data warehouse Use Azure Machine Learning to scale your model training, track model performance, and deploy winning models Orchestrate and automate processing pipelines using Azure Data Factory and Databricks Cloudify your organization's existing bioinformatics pipelines by moving your workflows to Azure high-performance compute services And more
Building Solutions with the Microsoft Power Platform
With the accelerating speed of business and the increasing dependence on technology, companies today are significantly changing the way they build in-house business solutions. Many now use low-code and no code technologies to help them deal with specific issues, but that's just the beginning. With this practical guide, power users and developers will discover ways to resolve everyday challenges by building end-to-end solutions with the Microsoft Power Platform. Author Jason Rivera, who specializes in SharePoint and the Microsoft 365 solution architecture, provides a comprehensive overview of how to use the Power Platform to build end-to-end solutions that address tactical business needs. By learning key components of the platform, including Power Apps, Power Automate, and Power BI, you'll be able to build low-code and no code applications, automate repeatable business processes, and create interactive reports from available data. Learn how the Power Platform apps work together Incorporate AI into the Power Platform without extensive ML or AI knowledge Create end-to-end solutions to solve tactical business needs, including data collection, process automation, and reporting Build AI-based solutions using Power Virtual Agents and AI Builder
Human-In-The-Loop Learning and Control for Robot Teleoperation
Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect.
KI 2022: Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 45th German Conference on Artificial Intelligence, KI 2022, held in September 2022.The 12 full and 5 short papers were carefully reviewed and selected from 51 submissions. Additionally, five abstracts of invited talks are included. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research.Due to COVID-19 the conference was held virtually.The chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Artificial Neural Networks and Machine Learning - Icann 2022
The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.Chapter "Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping " is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Brain Informatics
This book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua, Italy (in person) and Queensland, Australia (online) in July 2022. The 29 papers were selected from 65 submissions and the main theme of BI 2022 is Brain Science meets Artificial Intelligence with respect to the five tracks: Cognitive and computational foundations of brain science; human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain inspired computing.
