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.
Hpc Big Data And Ai Convergence Towards Exascale
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Author : Olivier Terzo
language : en
Publisher: CRC Press
Release Date : 2022-01-14
Hpc Big Data And Ai Convergence Towards Exascale written by Olivier Terzo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-14 with Computers categories.
HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the HPC, Cloud, Big Data, and artificial intelligence (AI) domains. Through the presentation of the solutions devised within recently founded H2020 European projects, this book provides an insight on challenges faced by integrating such technologies and in achieving performance and energy efficiency targets towards the exascale level. Emphasis is given to innovative ways of provisioning and managing resources, as well as monitoring their usage. Industrial and scientific use cases give to the reader practical examples of the needs for a cross-domain convergence. All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.
Accelerating Science And Engineering Discoveries Through Integrated Research Infrastructure For Experiment Big Data Modeling And Simulation
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Author : Kothe Doug
language : en
Publisher: Springer Nature
Release Date : 2023-01-17
Accelerating Science And Engineering Discoveries Through Integrated Research Infrastructure For Experiment Big Data Modeling And Simulation written by Kothe Doug and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-17 with Computers categories.
This book constitutes the refereed proceedings of the 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022, held virtually, during August 23–25, 2022. The 24 full papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: foundational methods enabling science in an integrated ecosystem; science and engineering applications requiring and motivating an integrated ecosystem; systems and software advances enabling an integrated science and engineering ecosystem; deploying advanced technologies for an integrated science and engineering ecosystem; and scientific data challenges.
Ai And The Revival Of Big Data
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Author : Ayyalasomayajula, Madan Mohan Tito
language : en
Publisher: IGI Global
Release Date : 2025-02-05
Ai And The Revival Of Big Data written by Ayyalasomayajula, Madan Mohan Tito and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
The interplay between big data and Artificial Intelligence has redefined how organizations process, analyze, and utilize information in the modern era. By leveraging AI, big data has transitioned from a static resource to a dynamic force capable of driving innovation, creating strategic insights, and transforming industries. This evolution underscores the importance of building trust in both human and technological systems to manage data responsibly and effectively. As the reliance on data-driven decision-making grows, understanding this relationship is vital for advancing societal progress and fostering sustainable development. AI and the Revival of Big Data offers a nuanced understanding of the evolution of big data and its enduring significance in the digital age. Additionally, the discussion of AI's role in revitalizing big data will inspire new avenues of research and collaboration across disciplines. Covering topics such as load distribution, financial malfeasance, image analysis, this book is an excellent resource for data scientists, business leaders, practitioners, policymakers, and industry professionals, professionals, researchers, scholars, academicians, and more.
Emerging Advancements In Ai And Big Data Technologies In Business And Society
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Author : Jingyuan Zhao
language : en
Publisher: Engineering Science Reference
Release Date : 2024
Emerging Advancements In Ai And Big Data Technologies In Business And Society written by Jingyuan Zhao and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact. This book sheds light on the critical role of AI and Big Data in accelerating smart healthcare services, exemplified by their significance in managing the COVID-19 pandemic. By showcasing recent advancements, methodologies, and systems, this collection of high-quality research provides valuable insights on leveraging AI and Big Data technologies for the betterment of businesses and societies. Emerging Advancements in AI and Big Data Technologies in Business and Society serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource.