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The New Global Ecosystem in Advanced Computing

Author : National Research Council
Publisher : National Academies Press
Page : 117 pages
File Size : 43,14 MB
Release : 2012-11-23
Category : Computers
ISBN : 0309262356

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Computing and information and communications technology (ICT) has dramatically changed how we work and live, has had profound effects on nearly every sector of society, has transformed whole industries, and is a key component of U.S. global leadership. A fundamental driver of advances in computing and ICT has been the fact that the single-processor performance has, until recently, been steadily and dramatically increasing year over years, based on a combination of architectural techniques, semiconductor advances, and software improvements. Users, developers, and innovators were able to depend on those increases, translating that performance into numerous technological innovations and creating successive generations of ever more rich and diverse products, software services, and applications that had profound effects across all sectors of society. However, we can no longer depend on those extraordinary advances in single-processor performance continuing. This slowdown in the growth of single-processor computing performance has its roots in fundamental physics and engineering constraints-multiple technological barriers have converged to pose deep research challenges, and the consequences of this shift are deep and profound for computing and for the sectors of the economy that depend on and assume, implicitly or explicitly, ever-increasing performance. From a technology standpoint, these challenges have led to heterogeneous multicore chips and a shift to alternate innovation axes that include, but are not limited to, improving chip performance, mobile devices, and cloud services. As these technical shifts reshape the computing industry, with global consequences, the United States must be prepared to exploit new opportunities and to deal with technical challenges. The New Global Ecosystem in Advanced Computing: Implications for U.S. Competitiveness and National Security outlines the technical challenges, describe the global research landscape, and explore implications for competition and national security.

America's Next Generation Supercomputer

Author : United States. Congress. House. Committee on Science, Space, and Technology (2011). Subcommittee on Energy
Publisher :
Page : 108 pages
File Size : 49,93 MB
Release : 2013
Category : Exascale computing
ISBN :

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Intelligent and Knowledge-Based Computing for Business and Organizational Advancements

Author : Sasaki, Hideyasu
Publisher : IGI Global
Page : 428 pages
File Size : 32,90 MB
Release : 2012-05-31
Category : Computers
ISBN : 1466615788

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As organizations, businesses, and other institutions work to move forward during a new era of ubiquitous modern technology, new computing and technology implementation strategies are necessary to harness the shared knowledge of individuals to advance their organizations as a whole. Intelligent and Knowledge-Based Computing for Business and Organizational Advancements examines the emerging computing paradigm of Collective Intelligence (CI). The global contributions contained in this publication will prove to be essential to both researchers and practitioners in the computer and information science communities as these populations move toward a new period of fully technology-integrated business.

Directions and Implications of Advanced Computing, (DIAC-87)

Author : Douglas Schuler
Publisher : Intellect (UK)
Page : 248 pages
File Size : 45,92 MB
Release : 1989
Category : Computers
ISBN :

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This volume results from the first research conference organized by Computer Professional for Social Responsibility (CSPR). Each chapter is authored by a computer scientist addressing the social impact of computers. Four chapters describe the milieu in which computer science is managed and financed. Three chapters present software engineering analyses of cost reliability and safety and relate them to defence policy. Five chapters explore the implications of applying artificial intelligence technology in particular areas, from education to combat, and the final chapters confront present and future dilemmas from philosophical and ethical perspectives.

Emerging Ecosystem-Centric Business Models for Sustainable Value Creation

Author : Ziouvelou, Xenia
Publisher : IGI Global
Page : 237 pages
File Size : 40,30 MB
Release : 2021-08-06
Category : Business & Economics
ISBN : 1799848442

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A hyperconnected, constantly evolving world has emerged. A world where people (internet of people), things (internet of things), and data (internet of data) are linked together, shaping the global economy while demanding new, innovative approaches for value creation. The era of hyper-connectivity is no longer characterized by centralized firm-centric business structures and traditional intra-firm and inter-firm processes. Open, distributed ecosystemic formations have started to emerge, utilizing cutting edge technologies to harness the collective power, co-creation ability, and intelligence of the crowd, the data, and the environment in an open participatory value co-creation mode. However, the question has become whether the frameworks, models, and tools that organizations use to create value will remain the same in the new business environment and within the organizations themselves. Existing literature on ecosystems, business models, and business model innovation are starting to examine these aspects. Emerging Ecosystem-Centric Business Models for Sustainable Value Creation explores emerging technology-enabled ecosystems and ecosystem-centric business models in theory and practice, from a business and technological perspective, and in a range of industrial settings, aiming to contribute to the existing knowledge of innovative technology-advanced ecosystems and business models, facilitating their design, implementation, and sustainable value creation. It examines the dynamics of this technology-powered revolution and how it is influencing the foundations of value creation and business modeling in novel ecosystemic formations across the HMD triangle: human, machine, and data. The target audience of this book is researchers and professionals in the fields of innovation, business, and strategy as well as computer science and information technology, along with managers, executives, practitioners, researchers, academicians, and students interested in new ways to create value in emerging and future ecosystems via innovative ecosystem-centric business models and strategies.

Theory and Applications of Optical Remote Sensing

Author : Ghassem Asrar
Publisher : Wiley-Interscience
Page : 760 pages
File Size : 49,66 MB
Release : 1989
Category : Technology & Engineering
ISBN :

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A comprehensive introduction to the principles and applications of remote sensing, written by contributors actively involved in optical remote sensing research. Special attention is paid to the interrelationship between land surfaces and the intervening atmosphere. Focusing specifically on the spectral region of 0.04 to 16 microns, this book covers a wide range of techniques and their practical implementations. Demonstrates how the same basic measurements can be used in several different applications to obtain quantitative measurements.

Advanced Computational Techniques for Renewable Energy Systems

Author : Mustapha Hatti
Publisher : Springer
Page : 0 pages
File Size : 23,9 MB
Release : 2023-02-15
Category : Technology & Engineering
ISBN : 9783031212154

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In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.