Informatik

Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective.

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics. There is a focus on well-known supervised machine learning algorithms, detailing the existing theory to provide some theoretical guarantees, featuring intuitive proofs and exposition of the material in a concise and precise manner. A broad set of topics is covered, giving an overview of the field. A summary of the topics covered is: statistical learning theory, approximation theory, linear models, kernel methods, Gaussian processes, deep neural networks, ensemble methods and unsupervised learning techniques, such as clustering and dimensionality reduction. This book is suited for students who are interested in entering the field, by preparing them to master the standard tools in Machine Learning. The reader will be equipped to understand the main theoretical questions of the current research and to engage with the field.

Unpacking the AI Revolution: From Knowledge and Expectations to Solutions, Pitfalls, and Human Transition CONVERSATIONAL CHAT INFORMATIVE BOOKBy ABEBE- BARD AI WOLDEMARIAM Unpacking the AI Revolution is a comprehensive and insightful exploration of the AI landscape, offering a deep dive into the technologies, capabilities, and potential societal impact of AI.The book is structured into six key sections, each addressing crucial aspects of the AI revolution:Unveiling the Power: Provides a foundational understanding of AI technologies and their extensive capabilities, equipping readers with essential knowledge about AI's potential.Managing Expectations: Emphasizes the need for a balanced and realistic approach to the potential benefits and limitations of AI, encouraging a measured and informed adoption of AI technologies.Navigating the Pitfalls: Examines the ethical considerations and potential risks associated with AI, prompting readers to critically assess the societal and ethical implications of AI deployment.Crafting Solutions: Focuses on building responsible and beneficial AI for humanity, emphasizing the need for AI systems that prioritize human well-being and societal advancement.Time for Reflection: Encourages readers to re-evaluate human values in the context of the AI age, prompting contemplation on the evolving relationship between humans and technology.Embracing the Transition: Addresses the necessity of adapting to a world shaped by AI, emphasizing the importance of preparing for and embracing the changes that AI will bring to various aspects of human life.Overall, Unpacking the AI Revolution offers a forward-thinking and holistic exploration of AI, encompassing its technological underpinnings, ethical considerations, and the need for a thoughtful and proactive approach to harnessing its potential for the benefit of humanity.

¿¿¿¿ Explore the Future with the "Quantum Computing: Computer Science, Physics, and Mathematics" Book Bundle! ¿¿¿¿Are you ready to unlock the secrets of quantum computing and delve into the multidisciplinary world of computer science, physics, and mathematics? Look no further! Our exclusive bundle, consisting of four captivating books, is your ticket to the quantum frontier.¿¿¿¿ Book 1: "Quantum Computing Demystified: A Beginner's Guide" ¿¿¿¿Are you new to quantum computing? This beginner's guide will unravel the complex concepts and lay the foundation for your quantum journey. Dive into qubits, superposition, and quantum algorithms, and embark on a transformative exploration of quantum computing's limitless possibilities.¿¿¿¿ Book 2: "Mastering Quantum Computing: A Comprehensive Guide for Intermediate Learners" ¿¿¿¿Ready to take the next step? This comprehensive guide is tailored for intermediate learners, providing in-depth insights into advanced topics, quantum programming, and algorithm design. Elevate your skills and become a quantum computing virtuoso.¿¿¿¿ Book 3: "Advanced Quantum Computing: Exploring the Frontiers of Computer Science, Physics, and Mathematics" ¿¿¿¿Step into the cutting-edge world of quantum computing's frontiers. Delve into quantum error correction, cryptography, and simulations, and discover the complex challenges and captivating possibilities that await at the forefront of this transformative technology.¿¿¿¿ Book 4: "Quantum Computing: A Multidisciplinary Approach for Experts" ¿¿¿¿Quantum computing transcends disciplines, and this book proves it. Explore its multifaceted applications in computer science, physics, mathematics, and beyond. Recognize its potential to reshape industries and address global challenges. This book is a must-read for experts and visionaries.¿¿¿¿ Don't miss this opportunity to embark on a transformative journey into the future of technology! ¿¿¿¿Secure your "Quantum Computing: Computer Science, Physics, and Mathematics" book bundle today and prepare to be amazed by the endless possibilities of quantum computing. Elevate your skills, expand your knowledge, and become a quantum trailblazer!¿¿¿¿ Grab this bundle now and step into the quantum realm, where the future of computing, science, and mathematics converges! ¿¿¿¿

This book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations. This book provides overview of natural and artificial intelligence along with the computing models used currently. The need of advancing the current models is presented with suitable examples. The business case studies presented in different domains provide possible use of augmented intelligence with the proposed machine thinking paradigm. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.

This book comprises a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2021), held at Technical University of Sofia, Sofia, Bulgaria, during 08-10 July 2021. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.

Edge computing has been identified as one of the key technologies for 5G networks and beyond due to two prominent advantages: low network latency and reduced core network load. By empowering cloud capabilities and IT service environments at the network edge, edge computing can well support applications of 5G and beyond, such as augmented/virtual reality (AR/VR), vehicular network (ultra-reliable low-latency communication services)¿Internet of Things (massive machine type communication services), and mobile high-definition video (enhanced mobile broadband services). Therefore, edge computing has attracted the attention of both industry and academia since its emergence.This book highlights the progress of 5G edge computing in both industry and academia according to our long-term efforts, including the current practice of public edge providers, the research process of edge computing from academia, the integration of edge computing with 5G, and the future visions of edge computing in the 6G era. From this book, the readers can benefit from: (1) the first comprehensive measurement study on a leading public edge platform, NEP (next-generation edge platform); 2) a clear and in-depth introduction of the key technologies of 5G edge computing; (3) the latest progress of 5G-integrated edge computing; and (4) pioneering exploration of 6G edge computing based on Tiansuan constellation ¿ an open satellite-terrestrial integrated platform. Both the researchers from academia or practitioners from industry can benefit significantly from this book.

This book provides a systematic study on the security of deep learning. With its powerful learning ability, deep learning is widely used in CV, FL, GNN, RL, and other scenarios. However, during the process of application, researchers have revealed that deep learning is vulnerable to malicious attacks, which will lead to unpredictable consequences. Take autonomous driving as an example, there were more than 12 serious autonomous driving accidents in the world in 2018, including Uber, Tesla and other high technological enterprises. Drawing on the reviewed literature, we need to discover vulnerabilities in deep learning through attacks, reinforce its defense, and test model performance to ensure its robustness. Attacks can be divided into adversarial attacks and poisoning attacks. Adversarial attacks occur during the model testing phase, where the attacker obtains adversarial examples by adding small perturbations. Poisoning attacks occur during the model training phase, wherethe attacker injects poisoned examples into the training dataset, embedding a backdoor trigger in the trained deep learning model. An effective defense method is an important guarantee for the application of deep learning. The existing defense methods are divided into three types, including the data modification defense method, model modification defense method, and network add-on method. The data modification defense method performs adversarial defense by fine-tuning the input data. The model modification defense method adjusts the model framework to achieve the effect of defending against attacks. The network add-on method prevents the adversarial examples by training the adversarial example detector.Testing deep neural networks is an effective method to measure the security and robustness of deep learning models. Through test evaluation, security vulnerabilities and weaknesses in deep neural networks can be identified. By identifying and fixing these vulnerabilities, the security and robustness of the model can be improved. Our audience includes researchers in the field of deep learning security, as well as software development engineers specializing in deep learning.

The unique compendium covers a wide range of recent advanced contributions in Pattern Recognition and Artificial Intelligence, both in theoretical aspects and applications. It highlights the importance of Deep Learning in various domains, from acquisition to Decision Making.Written by world renowned contributors, this high-quality research works presents case studies that can potentially help them find approaches and resources to address their scientific problems.It is a useful reference text for professionals, researchers, academics and graduate students in the fields of artificial intelligence, machine learning and deep learning.

Solid C and C]+ knowledge is a must to fully understand Linux diagnostic artifacts such as core memory dumps and do diagnostic, forensic, and root cause analysis beyond listing backtraces. This full-color reference book is a part of the Accelerated C & C++ for Linux Diagnostics training course organized by Software Diagnostics Services. The text contains slides, brief notes highlighting particular points, and replicated source code fragments that are easy to copy into your favorite IDE. The book's detailed Table of Contents makes the usual Index redundant. We hope this reference is helpful for the following audiences: C and C++ developers who want to deepen their knowledgeSoftware engineers developing and maintaining products on Linux platformsTechnical support, escalation, DevSecOps, cloud and site reliability engineers dealing with complex software issuesQuality assurance engineers who test software on Linux platformsSecurity and vulnerability researchers, reverse engineers, malware and memory forensics analysts

"Fantasies of Virtual Reality strips bare the tech industry's vision of a future dominated by immersive VR experiences, challenging the utopian promises of this technology, and the claims that it will revolutionize entertainment, communication, education, and business. While VR does hold significant potential, the overhyped expectations surrounding it, from achieving true empathetic understanding to transforming traditional education and office work, are often overstated -- not to mention fraught with issues of privacy, data security, and accessibility"--

"An expert on AI safety explains what we must do now to minimize the serious harms and threats that AI poses while realizing its benefits for society"--

"By showcasing how AI positively impacts aspects of our daily lives, this book gives the average person agency in harnessing this powerful technology that is reshaping the modern economy"--

"A graphic novel on the massive benefits and massive pitfalls we are facing with current AI technology"--

Unlock the potential of Dynamics 365 Finance and Operations apps by creating innovative solutions that can enhance the performance of your projectsKey FeaturesLearn how to leverage Power Platform tools with Dynamics 365 Finance & OperationsWork on real-world use cases and discover ways to maximize the potential of Power PlatformAdopt a low-code approach to expedite the development process and enhance the overall maintainability of F&O projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUncover the synergy between Microsoft Power Platform and its integration with Dynamics 365 Finance & Operations (F&O) with this essential guide to implementing low-code and no-code concepts to not only extend and enhance F&O but also improve maintainability and speed up development.Systematically exploring Power Platform, this book covers topics such as Dataverse, Power Automate, Power Apps, and Power BI using real-world scenarios in Dynamics 365 F&O to offer practical insights. You'll then master the integration of F&O and Power Platform using dual-write and virtual tables, and delve into process automation with Power Automate. The book further deepens your proficiency in Power Apps by showing you how they can be used to extend the F&O functionality and incorporate artificial intelligence using AI Builder and its pre-trained AI models ready to use with your data. Throughout, you'll gain a solid understanding of the diverse components of Power Platform and how they can transform your Dynamics 365 F&O experience.By the end of this book, you'll be equipped with the skills and knowledge necessary to fully harness the immense potential of Power Platform and Dynamics 365 F&O.What you will learnGet to grips with integrating Dynamics 365 F&O with DataverseDiscover the benefits of using Power Automate with Dynamics 365 F&OUnderstand Power Apps as a means to extend the functionality of Dynamics 365 F&OBuild your skills to implement Azure Data Lake Storage for Power BI reportingExplore AI Builder and its integration with Power Automate Flows and Power AppsGain insights into environment management, governance, and application lifecycle management (ALM) for Dataverse and the Power PlatformWho this book is forThis book is for Dynamics 365 Finance and Operations consultants, as well as Power Platform consultants eager to harness the diverse tools from Power Platform in their F&O projects. If you are a technical or solutions architect, you'll find this book useful for acquainting yourself with techniques for addressing business requirements using the Power Platform tools.Table of ContentsDynamics 365 F&O and low-code developmentDual-Write and Virtual tablesPower Automate flows in Dynamics 365Replacing F&O processes with Power AutomateBuilding automations and integrationsPower Apps: what's in it for Finance and Operations consultantsExtending F&O Apps with Power AppsPower BI reporting for Dynamics 365 F&O appsIntegrating AI BuilderEnvironment managementSolution management

¿¿¿¿ Quantum Physics Voyage - Uncover the Secrets of the Quantum Universe!Are you fascinated by the mysteries of the quantum world? Do you want to embark on a captivating journey through the realms of quantum physics, from the very basics to the most advanced concepts? Look no further! The Quantum Physics Voyage book bundle is your ultimate guide to understanding the quantum universe.¿¿¿¿ Discover Four Enriching Books in One Bundle:¿¿¿¿ Book 1 - Quantum Physics for Beginners: Dive into the fundamentals of quantum mechanics, where we demystify the intriguing concepts that govern the behavior of particles at the subatomic level. Explore wave-particle duality, quantum superposition, and the uncertainty principle. This book is the perfect starting point for quantum novices.¿¿¿¿ Book 2 - From String Theory to Quantum Computing: Embark on a thrilling journey that takes you from the elegance of string theory to the cutting-edge world of quantum computing. Unify the laws of physics, unravel the mysteries of qubits and quantum algorithms, and witness the potential of quantum supremacy in computation.¿¿¿¿ Book 3 - Quantum Physics Demystified: Transition from a novice to a quantum expert. Delve into advanced topics such as quantum states, operators, and experiments. This book serves as a bridge that empowers you to explore quantum physics in greater depth.¿¿¿¿ Book 4 - Mastering Quantum Physics: Reach the pinnacle of your journey as you explore advanced concepts like quantum field theory, relativistic quantum mechanics, and quantum gravity. Discover the fascinating connections between quantum physics and the enigmatic world of string theory.¿¿¿¿ Don't miss this opportunity to own a comprehensive collection of quantum physics knowledge in one bundle! Grab your copy of the Quantum Physics Voyage now and embark on a voyage that will expand your mind and deepen your understanding of the universe.

Mathematik für die Informatik: Dieses Buch bringt Ihnen die Grundlagen beiDieses Lehrbuch bietet eine Einführung in die grundlegenden Begriffe und Strukturen der Mathematik, welche am Anfang eines Informatikstudiums relevant sind. Weiterhin demonstriert es Anwendungen von mathematischen Konzepten und Methoden in der Informatik. Diese betreffen insbesondere formale Methoden der Programmverifikation und -entwicklung und den Entwurf von generischen Programmen. Ein spezielles Konzept mit einer leicht verständlichen Vermittlung des Stoffs, vielen Beispielen mit Rückgriffen auf die Schulmathematik und detaillierten Beweisen (verbunden mit der Erklärung des logischen Hintergrunds) erleichtert den Einstieg in die Mathematik an einer wissenschaftlichen Hochschule. Dadurch werden die Studierenden auch auf spätere Begriffe und tiefergehende Anwendungen der Mathematik in der Informatik gut vorbereitet. Die 5. Auflage erweitert den Inhalt um die Grundlagen der linearen Algebra. Die Übungsaufgaben zu den einzelnen Kapitel helfen, das Erlernte zu festigen und zu kontrollieren. Zahlreiche Lösungsvorschläge am Ende des Buchs ermöglichen die Überprüfung der eigenen Lösungen.Der InhaltMengentheoretische Grundlagen ¿ Logische Grundlagen ¿ Allgemeine direkte Produkte und Datenstrukturen ¿ Mathematische Beweise ¿ Spezifikation und Programmverifikation ¿ Spezielle Funktionen ¿ Spezielle Relationen und gerichtete Graphen ¿ Elementare Kombinatorik und ungerichtete Graphen ¿ Diskrete Wahrscheinlichkeitstheorie ¿ Generische Programmierung ¿ Grundbegriffe algebraischer Strukturen ¿ Formale Einführung der natürlichen Zahlen - Grundbegriffe der linearen AlgebraMit diesem Buch gelingt der Einstieg ins Informatik-StudiumMit diesem Buch schaffen Sie eine solide Basis für die Mathematikausbildung im Rahmen desInformatikstudiums. Zudem sind Sie durch die vorgestellten Problemstellungen in der Lage, selbstständig mathematische Konzepte und Methoden anzuwenden. Zielgruppen dieses Buchs über Mathematik in der Informatik sind Bachelor-Studierende in den ersten Studiensemestern folgender Fachbereiche:InformatikMathematikIngenieurwissenschaften

Mathematical problems in the aerospace industry deeply affect the development of many related fields, such as aerodynamics, astrodynamics, deep space exploration, space environment, manned space flight, space traffic management, etc. As a result, these challenges have together become a hotbed of research and have garnered significant attention in recent years. However, notwithstanding the enormous efforts of mathematicians, natural scientists, and engineers, many major issues remain unresolved. Therefore, there is an urgent need to provide a comprehensive introduction to the major mathematical problems in aerospace in order to help people refer to and conduct further in-depth research. This reprint thus contains a systematic review and several technical studies regarding the latest major mathematical problems in aerospace and their respective applications in different fields. This Special Issue aspires to make a valuable contribution to the knowledge on the mathematical theories, computational methods, and other issues relating to aerospace.

Analytic number theory is a branch of number theory which uses methods from mathematical analysis in order to solve difficult problems about integers. Analytic number theory can be split into two major areas: multiplicative number theory and additive number theory. Bernhard Riemann made some very important contributions to the field of analytic number theory; among others, he investigated the Riemann zeta function, and he established its importance for understanding the distribution of prime numbers. A typical problem of analytic number theory is the enumeration of number-theoretic objects like primes, solutions of Diophantine equations, etc. Algebraic number theory on the other hand studies the arithmetic of algebraic number fields, i.e., the ring of integers of arbitrary number fields. It embraces, among others, the study of the ideals and of the group of units in the ring of integers and the extent to which unique factorization holds. The purpose and scope of this ''Special Issue" were to collect new results in algebraic number theory and analytic number theory (namely in the areas of ramification theory in algebraic number fields, class field theory, arithmetic functions, L-functions, modular forms and elliptic curves) and in some similar research areas (namely associative algebras, logical algebras, elementary number theory, combinatorics, difference equations, group rings and algebraic hyper-structures).

This Special Issue is devoted to some serious problems that the Fractional Calculus (FC) is currently confronted with and aims at providing some answers to the questions like "What are the fractional integrals and derivatives?", "What are their decisive mathematical properties?", "What fractional operators make sense in applications and why?'', etc. In particular, the "new fractional derivatives and integrals" and the models with these fractional order operators are critically addressed. The Special Issue contains both the surveys and the research contributions. A part of the articles deals with foundations of FC that are considered from the viewpoints of the pure and applied mathematics, and the system theory. Another part of the Special issue addresses the applications of the FC operators and the fractional differential equations. Several articles devoted to the numerical treatment of the FC operators and the fractional differential equations complete the Special Issue.

Computer Memory and Data Storage presents a comprehensive exploration of the intricacies of memory design, delving into the challenges and advanced techniques involved in optimizing power consumption, performance, reliability, and data integrity. The chapters provide a complete understanding of modern memory technologies, ranging from radiation-hardened memory for space applications to diverse memory designs and their trade-offs.

In an era dominated by the convergence of technology and human perception, the field of Image Processing and Machine Vision stands at the forefront of innovation. This book is a comprehensive exploration of this captivating domain, offering a blend of theoretical foundations, practical applications, and cutting-edge advancements.From enhancing medical diagnostics to enabling autonomous vehicles, from revolutionizing digital entertainment to aiding in environmental monitoring, image processing and machine vision have become indispensable tools in our modern world. This book is designed to serve as a guide, a reference, and an inspiration for students, researchers, and professionals seeking to unravel the mysteries of visual data analysis.Throughout these pages, we embark on a journey through the fundamental concepts of image processing, delve into the intricacies of computer vision algorithms, and witness the transformative power of machine learning techniques. With real-world examples and case studies, we illustrate how these technologies are reshaping industries and pushing the boundaries of what's possible.As we explore the chapters within, we encourage readers to embark on their own intellectual voyages, pushing the boundaries of creativity and problem-solving in the captivating realm of Image Processing and Machine Vision. Whether you are a novice eager to grasp the basics or an expert seeking the latest advancements, this book aims to be your trusted companion in the fascinating world of visual data analysis.Welcome to a world where pixels become insights, and images are transformed into knowledge. Enjoy the journey!