This book features papers from CEPE-IACAP 2015, a joint international conference focused on the philosophy of computing. Inside, readers will discover essays that explore current issues in epistemology, philosophy of mind, logic, and philosophy of science from the lens of computation. Coverage also examines applied issues related to ethical, social, and political interest. The contributors first explore how computation has changed philosophical inquiry. Computers are now capable of joining humans in exploring foundational issues. Thus, we can ponder machine-generated explanation, thought, agency, and other quite fascinating concepts. The papers are also concerned with normative aspects of the computer and information technology revolution. They examine technology-specific analyses of key challenges, from Big Data to autonomous robots to expert systems for infrastructure control and financial services. The virtue of a collection that ranges over philosophical questions, such as this one does, lies in the prospects for a more integrated understanding of issues. These are early days in the partnership between philosophy and information technology. Philosophers and researchers are still sorting out many foundational issues. They will need to deploy all of the tools of philosophy to establish this foundation. This volume admirably showcases those tools in the hands of some excellent scholars.
This volume aims to stimulate discussions on research involving the use of data and digital images as an understanding approach for analysis and visualization of phenomena and experiments. The emphasis is put not only on graphically representing data as a way of increasing its visual analysis, but also on the imaging systems which contribute greatly to the comprehension of real cases. Scientific Visualization and Imaging Systems encompass multidisciplinary areas, with applications in many knowledge fields such as Engineering, Medicine, Material Science, Physics, Geology, Geographic Information Systems, among others. This book is a selection of 13 revised and extended research papers presented in the International Conference on Advanced Computational Engineering and Experimenting -ACE-X conferences 2010 (Paris), 2011 (Algarve), 2012 (Istanbul) and 2013 (Madrid). The examples were particularly chosen from materials research, medical applications, general concepts applied in simulations and image analysis and other interesting related problems.
Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual Studio Code, Postman, and Serverless Framework. You will apply the fundamentals of serverless technology from the ground up, and come away with a greater understanding of its power and how to make it work for you. This book teaches you how to quickly and securely develop applications without the hassle of configuring and maintaining infrastructure. You will learn how to harness serverless technology to rapidly reduce production time and minimize your costs, while still having the freedom to customize your code, without hindering functionality. Upon completion, you will have the knowledge and resources to build your own serverless application hosted in AWS, Azure, or Google Cloud and will have experienced the benefits of event-driven technology for yourself. What You´ll Learn Gain a deeper understanding of serverless computing and when to use it Use development tools such as Node.js, Postman, and VS code to quickly set up your serverless development environment and produce applications Apply triggers to your serverless functions that best suit the architecture for the problem the functions are solving Begin building applications across cloud providers that utilize the power of serverless technology Understand best development practices with serverless computing to maintain scalable and practical solutions Code with an agnostic approach to cloud providers to minimize provider dependency Who This Book Is For Any developer looking to expand current knowledge of serverless computing, its applications, and how to architect serverless solutions, or someone just beginning in these areas
Cloud Computing Native KMU - so lässt sich kurz und prägnant der Inhalt des vorliegenden Buches zusammenfassen. Dargestellt werden Grundlagen, Anwendungen, Migrationsstrategien, Sicherheitskonzepte, betriebliches Datenmanagement, technologisches Umfeld, Cloud-Initiativen und die vielen nützlichen Helfer aus dem Internet. Beschrieben, strukturiert und analysiert wird der Cloud-Markt in all seinen vielfältigen Formen und Verästlungen. Dem weiterführenden Interesse dienen sorgfältig recherchierte Hyperlinks. So bekommt der Leser ein systematisches und umfassendes Bild vom Cloud Computing unter KMU-Bedingungen.. All dies dient der optimalen Cloud-Nutzung in kleinen und mittleren Unternehmen respektive in Freiberufler-Büros, HomeOffices oder Start-up-Firmen. Eine solche Vorgehensweise ist ratsam, um diese moderne Technologie samt Umfeld besser zu verstehen und die vorhandenen Angebote am Markt optimal für den eigenen Betrieb nutzen zu können. In diesem Zusammenhang werden auch folgende Fragen thematisiert: Was heißt ´Cloud-Readiness´ für KMU? Ab wann und für wen lohnt sich die Cloud? Brauchen wir eine KMU-eigene Cloud-Policy?
This engaging textbook highlights the essential need for a strong ethical framework in our approach to computer, information and engineering science. Through thought-provoking questions and case studies, the reader is challenged to consider the deeper implications arising from the use of today´s rapidly-evolving computing technologies and ever-changing communication ecosystems. This updated second edition features new material on information security, intellectual property rights, the Internet of Things, and 5G technologies. Topics and features: introduces a philosophical framework and tools for understanding and analyzing computer ethics in personal, public, and professional spheres; describes the impact of computer technology on issues of security, privacy, anonymity, and civil liberties; examines intellectual property rights in the context of computing, including the risks and liabilities associated with software; discusses such key social issues in computing as the digital divide, employee monitoring in the workplace, and risks to physical and mental health; reviews the history of computer crime, and the threat of digitally facilitated bullying, harassment, and discrimination; considers the ethical challenges arising from online social networks, mobile telecommunications, virtual reality, the Internet of Things, and 5G technologies; includes learning objectives, discussion questions and exercises throughout the book. This concise and accessible work addresses the critical ethical and moral issues important to all designers and users of computer technologies. The text incorporates the latest curricula requirements for undergraduate courses in computer science, and offers invaluable insights into the social impact and legal challenges posed by the latest generation of computing devices and networks.
Cloud Computing wird von nahezu allen führenden Analysten als einer der Top-5-IT-Trends gesehen, der gegenwärtig aus der Hype-Phase in den Status der praktischen betrieblichen Umsetzung übergeht. Inzwischen wird nicht mehr diskutiert, ob Cloud Computing überhaupt eine praktikable Möglichkeit des IT-Sourcing ist, sondern vielmehr, wie diese Möglichkeit sich sicher und mit hohem Nutzen für Firmen einsetzen lässt. Es wird aufgezeigt, wo die Vorteile aber auch die Stolpersteine liegen und welche prinzipiellen Lösungen es gibt, um die Chancen zu realisieren und Risiken möglichst zu umgehen.
High Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge. In addition, practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products, and students will begin their careers with an understanding of possible directions for future research and development in HPC. Those who maintain and administer commodity clusters will find this textbook provides essential coverage of not only what HPC systems do, but how they are used. Covers enabling technologies, system architectures and operating systems, parallel programming languages and algorithms, scientific visualization, correctness and performance debugging tools and methods, GPU accelerators and big data problems Provides numerous examples that explore the basics of supercomputing, while also providing practical training in the real use of high-end computers Helps users with informative and practical examples that build knowledge and skills through incremental steps Features sidebars of background and context to present a live history and culture of this unique field Includes online resources, such as recorded lectures from the authors´ HPC courses
The book focuses on both theory and applications in the broad areas of communication technology, computer science and information security. This two volume book contains the Proceedings of 4th International Conference on Advanced Computing, Networking and Informatics. This book brings together academic scientists, professors, research scholars and students to share and disseminate information on knowledge and scientific research works related to computing, networking, and informatics to discuss the practical challenges encountered and the solutions adopted. The book also promotes translation of basic research into applied investigation and convert applied investigation into practice.
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
This book constitutes the refereed proceedings of the 13th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2018, held in Guilin, China, in August 2018. The 33 revised full papers presented along with the 13 short papers were carefully reviewed and selected from 150 submissions. The papers of this volume are organized in topical sections on: collaborative models, approaches, algorithms, and systems, social computing, data analysis and machine learning for CSCW and social computing.