Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai
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Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai
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Author : Jeffrey Nichols
language : en
Publisher: Springer Nature
Release Date : 2020-12-22
Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai written by Jeffrey Nichols and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Computers categories.
This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.
Driving Scientific And Engineering Discoveries Through The Integration Of Experiment Big Data And Modeling And Simulation
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Author : Jeffrey Nichols
language : en
Publisher: Springer Nature
Release Date : 2022-03-09
Driving Scientific And Engineering Discoveries Through The Integration Of Experiment Big Data And Modeling And Simulation written by Jeffrey Nichols and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-09 with Computers categories.
This book constitutes the revised selected papers of the 21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021, held in Oak Ridge, TN, USA*, in October 2021. The 33 full papers and 3 short papers presented were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; advanced computing applications: use cases that combine multiple aspects of data and modeling; advanced computing systems and software: connecting instruments from edge to supercomputers; deploying advanced computing platforms: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.
Research In Computer Science
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Author : Djamil Aissani
language : en
Publisher: Springer Nature
Release Date : 2025-05-22
Research In Computer Science written by Djamil Aissani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Computers categories.
This book constitutes the refereed proceedings of the 17th African Conference on Research in Computer Science and Applied Mathematics, CARI 2024, in Bejaïa, Algeria, in November 23-26, 2024. The 25 full papers included in this book were carefully reviewed and selected from 90 submissions. The conference covers a range of subjects, including optimization and heuristics, cluster analysis, reactive systems, information security, natural language and speech processing, computer Vision and image processing, machine learning and deep learning.
Pushing Frontiers Imaging For Photon Science
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Author : Jiaguo Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2024-12-24
Pushing Frontiers Imaging For Photon Science written by Jiaguo Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Science categories.
Developments of cutting-edge X-ray imaging detectors are largely driven by experiments at the large photon science facilities, i.e. the synchrotron radiation sources and free-electron lasers (FELs) which enable a wealth of investigations in physics, material science, biology, chemistry, environmental sciences, and beyond. The next generation radiation sources, namely diffraction-limited storage-rings (DLSR) and high repetition rate FELs operated in the continuous wave (CW) mode, not only offer brilliant opportunities for research but also pose new challenges and requirements for the X-ray detectors required to exploit them fully. Examples include the high count rate capability required at the DLSRs, the ultra high, continuous frame rate and data throughput at the FELs, and a broad photon energy range from tens of eV to hundreds of keV spanned by the facilities. In order to meet the new requirements posed by the most advanced photon science facilities envisioned or already under development around the world, today various novel photon detection and imaging concepts are being investigated, and detector technologies are advancing fast. The goal of this research topic is to address the challenges and discuss the critical problems encountered in imaging systems for photon science, including but not limited to sensing materials, ASICs, readout electronics, detector systems, and data reduction, Moreover, it will encompass a discussion of the development strategies, technological advances, and recent achievements of each subject - thereby facilitating the realization of complete concepts for novel imaging systems as well as further developments of individual detector technologies.
Future Trends Of Hpc In A Disruptive Scenario
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Author : L. Grandinetti
language : en
Publisher: IOS Press
Release Date : 2019-09-27
Future Trends Of Hpc In A Disruptive Scenario written by L. Grandinetti and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
The realization that the use of components off the shelf (COTS) could reduce costs sparked the evolution of the massive parallel computing systems available today. The main problem with such systems is the development of suitable operating systems, algorithms and application software that can utilise the potential processing power of large numbers of processors. As a result, systems comprising millions of processors are still limited in the applications they can efficiently solve. Two alternative paradigms that may offer a solution to this problem are Quantum Computers (QC) and Brain Inspired Computers (BIC). This book presents papers from the 14th edition of the biennial international conference on High Performance Computing - From Clouds and Big Data to Exascale and Beyond, held in Cetraro, Italy, from 2 - 6 July 2018. It is divided into 4 sections covering data science, quantum computing, high-performance computing, and applications. The papers presented during the workshop covered a wide spectrum of topics on new developments in the rapidly evolving supercomputing field – including QC and BIC – and a selection of contributions presented at the workshop are included in this volume. In addition, two papers presented at a workshop on Brain Inspired Computing in 2017 and an overview of work related to data science executed by a number of universities in the USA, parts of which were presented at the 2018 and previous workshops, are also included. The book will be of interest to all those whose work involves high-performance computing.
Artificial Intelligence In Science Challenges Opportunities And The Future Of Research
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2023-06-26
Artificial Intelligence In Science Challenges Opportunities And The Future Of Research written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-26 with categories.
The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI.
Encyclopedia Of Information Science And Technology Second Edition
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Author : Khosrow-Pour, D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2008-10-31
Encyclopedia Of Information Science And Technology Second Edition written by Khosrow-Pour, D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-31 with Business & Economics categories.
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.
Artificial Intelligence In Data Mining
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Author : D. Binu
language : en
Publisher: Academic Press
Release Date : 2021-02-17
Artificial Intelligence In Data Mining written by D. Binu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Science categories.
Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. - Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering - Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks - Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense
Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
The National Artificial Intelligence Research And Development Strategic Plan
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Author : National Science and Technology Council
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-10-27
The National Artificial Intelligence Research And Development Strategic Plan written by National Science and Technology Council and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-27 with categories.
Artificial intelligence (AI) is a transformative technology that holds promise for tremendous societal and economic benefit. AI has the potential to revolutionize how we live, work, learn, discover, and communicate. AI research can further our national priorities, including increased economic prosperity, improved educational opportunities and quality of life, and enhanced national and homeland security. Because of these potential benefits, the U.S. government has invested in AI research for many years. Yet, as with any significant technology in which the Federal government has interest, there are not only tremendous opportunities but also a number of considerations that must be taken into account in guiding the overall direction of Federally-funded R&D in AI. On May 3, 2016, the Administration announced the formation of a new NSTC Subcommittee on Machine Learning and Artificial intelligence, to help coordinate Federal activity in AI.1 This Subcommittee, on June 15, 2016, directed the Subcommittee on Networking and Information Technology Research and Development (NITRD) to create a National Artificial Intelligence Research and Development Strategic Plan. A NITRD Task Force on Artificial Intelligence was then formed to define the Federal strategic priorities for AI R&D, with particular attention on areas that industry is unlikely to address. This National Artificial Intelligence R&D Strategic Plan establishes a set of objectives for Federally-funded AI research, both research occurring within the government as well as Federally-funded research occurring outside of government, such as in academia. The ultimate goal of this research is to produce new AI knowledge and technologies that provide a range of positive benefits to society, while minimizing the negative impacts.