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Realm of Mystics (Level Up)
by Raelyn DrakeWhen a girl wakes up in a virtual reality fantasy video game, she's sure this must be a mistake. She's not a gamer and she doesn't want to be here. Whether she likes it or not, she's now Em3ra1d_with_3nvy, one player in a four-player team whose mission is to defeat a dragon and rescue the realm's princess. In a game where she has no idea how to play, Em3ra1d_with_3nvy will have to learn to use magic in order to help her team win the game—or risk being trapped within it forever.
Realm of Racket: Learn to Program, One Game at a Time!
by Matthias Felleisen Conrad Barski David Van Horn Northeastern University StudentsRacket is a descendant of Lisp, a programming language renowned for its elegance, power, and challenging learning curve. But while Racket retains the functional goodness of Lisp, it was designed with beginning programmers in mind. Realm of Racket is your introduction to the Racket language.In Realm of Racket, you'll learn to program by creating increasingly complex games. Your journey begins with the Guess My Number game and coverage of some basic Racket etiquette. Next you'll dig into syntax and semantics, lists, structures, and conditionals, and learn to work with recursion and the GUI as you build the Robot Snake game. After that it's on to lambda and mutant structs (and an Orc Battle), and fancy loops and the Dice of Doom. Finally, you'll explore laziness, AI, distributed games, and the Hungry Henry game.As you progress through the games, chapter checkpoints and challenges help reinforce what you've learned. Offbeat comics keep things fun along the way.As you travel through the Racket realm, you'll:–Master the quirks of Racket's syntax and semantics–Learn to write concise and elegant functional programs–Create a graphical user interface using the 2htdp/image library–Create a server to handle true multiplayer gamesRealm of Racket is a lighthearted guide to some serious programming. Read it to see why Racketeers have so much fun!
Realtime Advertising
by Oliver BuschDieses Grundlagenwerk zu Realtime Advertising erklärt praxisnah und fundiert, welche Rolle automatisierte Echtzeit-Werbung in einem orchestrierten Media-Mix spielt und wie sie von Grund auf funktioniert. Denn: Realtime Advertising ist für Marketingverantwortliche so neu, bedrohlich und chancenreich wie die Internetwerbung zur Jahrtausendwende und selbst für viele Marketing- und Mediaexperten erklärungsbedürftig. Führende Branchenexperten aus Unternehmen, Agenturen und Medien erläutern diese revolutionäre Art des digitalen Marketings: Prof. Dr. Jürgen Seitz, Dr. Mark Grether, Aee-Ni Park, Rosa Markarian, Prof. Dr. Burkhardt Funk, Thomas Schauf, Philip Missler, Stanton Sugarman, Kate Burgarth, Stephan Noller, Marco Klimkeit, Edmund Heider, Holm Münstermann, Ingo Tenbrock, Nils Hachen, Arndt Groth, Viktor Zawadzki, Oliver Gertz, Patrick Dawson, Kolja Brosche, Sven Weisbrich, Arno Schäfer, Oliver Weiss, Alexander Gösswein, Sascha Jansen, Wolfgang Bscheid und Julian Simons. Die Autoren liefern außerdem klare Handlungsempfehlungen und handfeste Praxistipps für die begonnene Transformation des Marketings. Extra: Inklusive eBook - den Zugangs-Coupon finden Sie im Buch.
Realtime Data Mining
by Alexander Paprotny Michael ThessDescribing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods. Furthermore, it presents promising results of numerous experiments on real-world data. The area of realtime data mining is currently developing at an exceptionally dynamic pace, and realtime data mining systems are the counterpart of today's "classic" data mining systems. Whereas the latter learn from historical data and then use it to deduce necessary actions, realtime analytics systems learn and act continuously and autonomously. In the vanguard of these new analytics systems are recommendation engines. They are principally found on the Internet, where all information is available in realtime and an immediate feedback is guaranteed. This monograph appeals to computer scientists and specialists in machine learning, especially from the area of recommender systems, because it conveys a new way of realtime thinking by considering recommendation tasks as control-theoretic problems. Realtime Data Mining: Self-Learning Techniques for Recommendation Engines will also interest application-oriented mathematicians because it consistently combines some of the most promising mathematical areas, namely control theory, multilevel approximation, and tensor factorization.
Realtà Virtuale
by Ajit SinghCon il rapido sviluppo della tecnologia moderna, la tecnologia è ovunque. Il computer è il prodotto più rappresentativo, in quanto nel giro di pochi decenni, ora ci sono molti tipi diversi di computer, ad esempio, l'enorme server situato nella stanza, il personal computer sul tavolo, il computer portatile sulle ginocchia, lo smartphone e il tablet nelle nostre mani, anche il dispositivo indossabile al polso o sulla nostra testa. Il rapporto tra il computer e l'uomo ha subito un cambiamento fondamentale. Human-Computer Interaction (HCI) è un campo di studio che aiuta le persone a controllare le macchine più facilmente, in modo che i computer possano essere utilizzati da una vasta gamma di utenti, dallo specialista delle minoranze alla maggioranza delle persone in tutto il mondo. ACM definisce HCI come "Una disciplina che si occupa della progettazione, valutazione e implementazione di sistemi di calcolo interattivi per uso umano e dello studio dei principali fenomeni che li circondano". (Hewett et al., 2009). All'inizio, abbiamo potuto digitare solo il comando per far funzionare il computer, poi, dopo lo sviluppo dell'interfaccia grafica utente, con la nascita del mouse, abbiamo iniziato a cliccare sull'icona per funzionare" (Hewett et al., 2009). Negli ultimi anni, la tecnologia del touch screen ci ha liberato la mano e possiamo toccare lo schermo per utilizzare il nostro dispositivo. La gente vuole ancora trovare altri modi di interazione con il computer. Come uno dei principali tipi di Human-Computer Interaction Virtual Reality è diventato un argomento caldo negli ultimi anni. Oculus Rift, Google Glass e HoloLens rappresentano la tecnologia più avanzata nel campo della Realtà Virtuale / Realtà Aumentata (AR). La comunicazione tra gli esseri umani e il mondo reale è abbastanza normale, il mondo virtuale è troppo isolato, quindi c'è una piattaforma di comunicazione tra realtà e virtualità che aiuta le persone a trovare più amici? Le persone semplicemen
ReasonML Quick Start Guide: Build fast and type-safe React applications that leverage the JavaScript and OCaml ecosystems
by Raphael Rafatpanah Bruno Joseph D'melloA hands on approach to learning ReasonML from the perspective of a web developer.Key FeaturesHands on learning by building a real world app shell that includes client-side routing and more.Understand Reason’s ecosystem including BuckleScript and various npm workflows.Learn how Reason differs from TypeScript and Flow, and how to use it to make refactoring less stressful.Book DescriptionReasonML, also known as Reason, is a new syntax and toolchain for OCaml that was created by Facebook and is meant to be approachable for web developers. Although OCaml has several resources, most of them are from the perspective of systems development. This book, alternatively, explores Reason from the perspective of web development.You'll learn how to use Reason to build safer, simpler React applications and why you would want to do so. Reason supports immutability by default, which works quite well in the context of React.In learning Reason, you will also learn about its ecosystem – BuckleScript, JavaScript interoperability, and various npm workflows. We learn by building a real-world app shell, including a client-side router with page transitions, that we can customize for any Reason project. You'll learn how to leverage OCaml's excellent type system to enforce guarantees about business logic, as well as preventing runtime type errors.You'll also see how the type system can help offload concerns that we once had to keep in our heads.We'll explore using CSS-in-Reason, how to use external JSON in Reason, and how to unit-test critical business logic. By the end of the book, you'll understand why Reason is exploding in popularity and will have a solid foundation on which to continue your journey with Reason.What you will learnLearn why Reason is exploding in popularity and why it's the future of ReactBecome familiar with Reason's syntax and semanticsLearn about Reason's ecosystem: BuckleScript and JavaScript interoperabilityLearn how to build React applications with ReasonLearn how to use Reason's type system as a tool to provide amazing guaranteesGain a solid foundation on which to continue your journeyWho this book is forThe target audience of this book is web developers who are somewhat familiar with ReactJS and who want to learn why ReasonML is the future of ReactJS.
Reasonable Expectations of Privacy: With Special Regard to European Privacy and Data Protection Law (Law, Governance and Technology Series #72)
by Paul Friedl‘Reasonable expectations of privacy’ have become a cornerstone concept in privacy and data protection legislation worldwide, extending today from US constitutional law to the GDPR, Article 8 ECHR, and various Asian and African data protection frameworks. This book offers a comprehensive analysis of this complex and ambiguous legal concept, addressing the many questions regarding its proper function, interpretation and application. Tracing the notion's evolution from the 1967 Supreme Court ruling in ‘Katz v United States’ to its status as a widespread paradigm of global privacy discourse, the work illuminates the many fallacies that pervade both academic and judicial interpretations. At its core, the book explores and evaluates four distinct models of ‘reasonable expectations,’ analysing their normative foundations and practical implications in depth. In doing so, the book also contributes to broader discussions within privacy and data protection theory, as it identifies and evaluates different strategies for regulating privacy conflicts, such as interest balancing or social norms-based regulation. Finally, the book also makes significant contributions to the scholarship on the EU General Data Protection Regulation (GDPR) and Article 8 ECHR, evaluating how 'reasonable expectations' operate within these contexts from empiric and normative perspectives.
Reasoning Web. Causality, Explanations and Declarative Knowledge: 18th International Summer School 2022, Berlin, Germany, September 27–30, 2022, Tutorial Lectures (Lecture Notes in Computer Science #13759)
by Leopoldo Bertossi Guohui XiaoThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Reasoning in Probabilistic Models and Machine Learning” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.
Reasoning Web. Declarative Artificial Intelligence: 16th International Summer School 2020, Oslo, Norway, June 24–26, 2020, Tutorial Lectures (Lecture Notes in Computer Science #12258)
by Marco Manna Andreas PierisThis volume contains 8 lecture notes of the 16th Reasoning Web Summer School (RW 2020), held in Oslo, Norway, in June 2020. The Reasoning Web series of annual summer schools has become the prime educational event in the field of reasoning techniques on the Web, attracting both young and established researchers. The broad theme of this year's summer school was “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures have been presented during the school: Introduction to Probabilistic Ontologies, On the Complexity of Learning Description Logic Ontologies, Explanation via Machine Arguing, Stream Reasoning: From Theory to Practice, First-Order Rewritability of Temporal Ontology-Mediated Queries, An Introduction to Answer Set Programming and Some of Its Extensions, Declarative Data Analysis using Limit Datalog Programs, and Knowledge Graphs: Research Directions.
Reasoning Web. Declarative Artificial Intelligence: 17th International Summer School 2021, Leuven, Belgium, September 8–15, 2021, Tutorial Lectures (Lecture Notes in Computer Science #13100)
by Mantas Šimkus Ivan VarzinczakThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers.The broad theme of this year's summer school was again “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.
Reasoning Web. Declarative Artificial Intelligence: 19th International Summer School 2023 Oslo, Norway, September 21–24, 2023, Tutorial Lectures (Lecture Notes in Computer Science #15400)
by Boris Konev Marco ConsoleThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Declarative Artificial Intelligence: Knowledge, Rules, Logic." The following eight lectures were presented during the school: Declarative AI for Industry: Methods, Applications, Trends; Ontologies vs Constraints; Termination of Reasoning; Compact Query Rewritings for Ontology Based Query Answering; Graph Queries and Description Logics; Controlled Query Evaluation in Description Logic Ontologies; Learning from Neural Networks with Queries and Counter Examples; and Proof-Theoretic Approaches in Logical Argumentation.
Reasoning Web. Explainable Artificial Intelligence: 15th International Summer School 2019, Bolzano, Italy, September 20–24, 2019, Tutorial Lectures (Lecture Notes in Computer Science #11810)
by Markus Krötzsch Daria StepanovaThis volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzano, Italy, in September 2019. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.
Reasoning Web. Learning, Uncertainty, Streaming, and Scalability: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures (Lecture Notes in Computer Science #11078)
by Claudia D’Amato Martin TheobaldThis volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.
Reasoning Web: 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, Tutorial Lectures (Lecture Notes in Computer Science #9885)
by Jeff Z. Pan, Diego Calvanese, Thomas Eiter, Ian Horrocks, Michael Kifer, Fangzhen Lin and Yuting ZhaoThis volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016.In 2016, the theme of the school was “Logical Foundation of Knowledge Graph Construction and Query Answering”. The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.
Reasoning about Preference Dynamics
by Fenrong LiuOur preferences determine how we act and think, but exactly what the mechanics are and how they work is a central cause of concern in many disciplines. This book uses techniques from modern logics of information flow and action to develop a unified new theory of what preference is and how it changes. The theory emphasizes reasons for preference, as well as its entanglement with our beliefs. Moreover, the book provides dynamic logical systems which describe the explicit triggers driving preference change, including new information, suggestions, and commands. In sum, the book creates new bridges between many fields, from philosophy and computer science to economics, linguistics, and psychology. For the experienced scholar access to a large body of recent literature is provided and the novice gets a thorough introduction to the action and techniques of dynamic logic.
Reasoning and Language at Work: A Critical Essay (Studies in Computational Intelligence #991)
by Enric Trillas Settimo Termini Marco Elio TabacchiThis book furthers the historical and technical debate by looking at reasoning as the action of language when it is devoted to explaining or foretelling, based on the authors’ centennial combined experience in fuzzy logic. A simple logical model mixing abductions and deductions is introduced in order to attain speculations, conjectures that may be responsible for induction, and creativity in reasoning. A central point and a dire hypothesis of the book are that such process can be implemented by computation and as such can lead to a new approach to automatic thinking and reasoning. On top of the technical approach, the relationship between reasoning and thinking is also analyzed trying to establish links with notions and concepts of thinkers from the European Middle Age to the current days. This book is recommended to young researchers that are interested in either the scientific or philosophical aspects of computational thinking, and can further the debate between the two approaches.
Reassembling Scholarly Communications: Histories, Infrastructures, and Global Politics of Open Access
by Martin Paul Eve and Jonathan GrayA range of perspectives on the complex political, philosophical, and pragmatic implications of opening research and scholarship through digital technologies.The Open Access Movement proposes to remove price and permission barriers for accessing peer-reviewed research work--to use the power of the internet to duplicate material at an infinitesimal cost-per-copy. In this volume, contributors show that open access does not exist in a technological vacuum; there are complex political, philosophical, and pragmatic implications for opening research through digital technologies. The contributors examine open access across spans of colonial legacies, knowledge frameworks, publics and politics, archives and digital preservation, infrastructures and platforms, and global communities.
Rebeca for Actor Analysis in Action: Essays Dedicated to Marjan Sirjani on the Occasion of Her 60th Birthday (Lecture Notes in Computer Science #15560)
by Mohammad Reza Mousavi Carolyn Talcott Edward A. LeeThis Festschrift volume, dedicated to Marjan Sirjani on the occasion of her 60th birthday, includes refereed papers by leading researchers. Marjan Sirjani received her PhD in Computer Engineering from Sharif University of Technology for work on the Formal Specification and Verification of Concurrent and Reactive Systems. After Postdoc, Lecturer, Visiting Scholar, Associate Professor, and Professor positions in Iran, The Netherlands, Iceland, and the US, she has been a Professor in the School of Innovation, Design and Engineering of Mälardalen University since 2016. Her main fields of interest are Software Engineering, Formal Methods, Cyber-Physical Systems Analysis, Model Checking, Distributed Systems, and Applying Formal Methods in System Design. Among other successes, Marjan invented the Rebeca modelling language, one of the best-known actor-based languages with a formal semantics and a wealth of analysis and verification tools. Rebeca has been used in modelling and analysis of a wide range of systems, including in domains such as biomedical engineering, automotive, and aviation. Throughout her career, Marjan has trained many students and worked successfully with a range of scientists and engineers across disciplines, these collaborations are reflected in the papers in this volume.
Rebel Code: Linux and the Open Source Revolution
by Glyn MoodyThe open source saga has many fascinating chapters. It is partly the story of Linus Torvalds, the master hacker who would become chief architect of the Linux operating system. It is also the story of thousands of devoted programmers around the world who spontaneously worked in tandem to complete the race to shape Linux into the ultimate killer app. Rebel Code traces the remarkable roots of this unplanned revolution. It echoes the twists and turns of Linux's improbable development, as it grew through an almost biological process of accretion and finally took its place at the heart of a jigsaw puzzle that would become the centerpiece of open source. With unprecedented access to the principal players, Moody has written a powerful tale of individual innovation versus big business. Rebel Code provides a from-the-trenches perspective and looks ahead to how open source is challenging long-held conceptions of technology, commerce, and culture.
Rebel Genius: Warren S. McCulloch's Transdisciplinary Life in Science (The\mit Press Ser.)
by Tara AbrahamThe life and work of a scientist who spent his career crossing disciplinary boundaries—from experimental neurology to psychiatry to cybernetics to engineering.Warren S. McCulloch (1898–1969) adopted many identities in his scientific life—among them philosopher, poet, neurologist, neurophysiologist, neuropsychiatrist, collaborator, theorist, cybernetician, mentor, engineer. He was, writes Tara Abraham in this account of McCulloch's life and work, “an intellectual showman,” and performed this part throughout his career. While McCulloch claimed a common thread in his work was the problem of mind and its relationship to the brain, there was much more to him than that. In Rebel Genius, Abraham uses McCulloch's life as a window on a past scientific age, showing the complex transformations that took place in American brain and mind science in the twentieth century—particularly those surrounding the cybernetics movement.Abraham describes McCulloch's early work in neuropsychiatry, and his emerging identity as a neurophysiologist. She explores his transformative years at the Illinois Neuropsychiatric Institute and his work with Walter Pitts—often seen as the first iteration of “artificial intelligence” but here described as stemming from the new tradition of mathematical treatments of biological problems. Abraham argues that McCulloch's dual identities as neuropsychiatrist and cybernetician are inseparable. He used the authority he gained in traditional disciplinary roles as a basis for posing big questions about the brain and mind as a cybernetician. When McCulloch moved to the Research Laboratory of Electronics at MIT, new practices for studying the brain, grounded in mathematics, philosophy, and theoretical modeling, expanded the relevance and ramifications of his work. McCulloch's transdisciplinary legacies anticipated today's multidisciplinary field of cognitive science.
Rebel Girls Level Up: 25 Tales of Gaming and the Metaverse (Rebel Girls Minis)
by Rebel GirlsTRUE STORIES OF CREATORS AND COMMUNITY!Meet 25 inspiring women in the world of gaming and the metaverse. Read about how they&’ve created innovative technology, designed the video games you play, and broken barriers whenever their industry put up walls.Dive into gamer communities with popular streamers like Imane Anys, better known as Pokimane. Learn to lead with Aya Kyogoku, who directed several Animal Crossing games. Design digital clothing with Roblox creators like cSapphire. And compete in the wild world of esports with pro gamers Sasha Hostyn and Sylvia Gathoni.This book pairs inspiring, easy-to-read text with colorful full-page portraits created by female and nonbinary artists from all around the world. Plus, scannable codes let you listen to longer stories on the Rebel Girls app!
Rebellious Entrepreneurs: How Breakthrough Branding Uplifts Millions in Emerging Markets (Palgrave Studies in Global Entrepreneurship)
by Arindam Banik Pinaki DasguptaThis book focuses on entrepreneurship and brand-building processes of businesses in India. It does so by highlighting seven regional entrepreneurs in the country as case studies, and how they have created an ecosystem around them with regard to efficiency in supply chain, excellence in marketing, creating a sustainable environment of doing business, providing gainful employment, working with limited resources and credit, and finally showcasing resilience in their work. Case studies in the book include Hosiery cluster of West Bengal, Tiluram and Sons, Balaji Wafers, Biskfarm (SAJ Foods), Annapurna Group, Shri Krishna Paper Mills Limited, Chitale Bandhu, Phool.co (Kanpur Flower Cycling Private Limited), Walkaroo and Aachi Masale. With these case studies, the book maps out their respective business journeys, elaborates on issues and challenges, to create templates for breakthrough branding, which are can be relevant to other emerging economies and the medium-sized enterprises (SME) sector.
Rebooting AI: Building Artificial Intelligence We Can Trust
by Gary Marcus Ernest DavisTwo leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence.Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks (EAI/Springer Innovations in Communication and Computing)
by Jaime Lloret R. Maheswar Satish R. JondhaleThis book briefly summarizes the current state of the art technologies and solutions for location and tracking (L&T) in wireless sensor networks (WSN), focusing on RSS-based schemes. The authors offer broad and in-depth coverage of essential topics including range-based and range-free localization strategies, and signal path loss models. In addition, the book includes motion models and how state estimation techniques and advanced machine learning techniques can be utilized to design L&T systems for a given problem using low cost measurement metric (that is RSS). This book also provides MATLAB examples to demonstrate fundamental algorithms for L&T and provides online access to all MATLAB codes. The book allows practicing engineers and graduate students to keep pace with contemporary research and new technologies in the L&T domain.
Recent Advanced in Image Security Technologies: Intelligent Image, Signal, and Video Processing (Studies in Computational Intelligence #1079)
by Hang Chen Zhengjun LiuThis book provides the readers with a comprehensive overview of principles methodologies and recent advances in image, signal, and video processing using different system. This book is used as the handbook of postgraduates course, such as image processing, signal processing, and optical information security.