High performance computing artificial (39 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Zustand: As New. Unread book in perfect condition.

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Taschenbuch. Zustand: Neu. Neuware - High-performance computing (HPC) and artificial intelligence (AI) in process engineering involve complex system modelling, data analysis, optimization design, and real-time monitoring. Key methods include data integration, model construction, optimization algorithms, machine learning, deep learning, parallel computing, and real-time analytics. These techniques significantly enhance production efficiency, reduce costs, and improve system stability. They also promote industrial intelligence, creating new opportunities and challenges in process engineering. This integration supports the advancement of Industry 4.0 and smart manufacturing.Key Features: - Provides a systematic review of state-of-the-art artificial intelligence technologies and high-performance computing, and their applications in process engineering - Introduces the development of traditional process simulators in process engineering and new numerical solvers based on data-driven and physics-informed neural networks approaches - Provides perspectives of high-performance computing and artificial intelligence from industrial leaders in software and hardware - Aimed at researchers and industrial practitioners in process engineering, manufacturing, data science, artificial intelligence and high-performance computing.…

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Zustand: New. Dr. M. M. Raghuwanshi is the Dean of Engineering at S.B.Jain Institute of Technology Management and Research, Nagpur, India.Dr. Pradnya Borkar is an Associate Professor at the Department of Computer Science and Engineering and R&amp.

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Taschenbuch. Zustand: Neu. Neuware - Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence.The book's two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include: - HPC use cases, application programming interfaces (APIs), and applications - Parallelization techniques - HPC for machine learning - Implementation of parallel computing with AI in big data analytics - HPC with AI in healthcare systems - AI in industrial automation Coverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems.As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the book's discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI. …

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Taschenbuch. Zustand: Neu. Neuware - High Performance Computing and Sustainability Through Artificial Intelligence examines the convergence of high-performance computing (HPC), artificial intelligence (AI), cloud technologies, and cybersecurity in addressing contemporary sustainability challenges. Bringing together current research and practical perspectives from experienced academics and professionals, the book explores how advanced computational frameworks can improve the efficiency, security, and resilience of digital infrastructures while supporting environmentally sustainable development. The chapters cover emerging trends in big data and cloud computing, AI- and IoT-enabled sustainable agriculture, and comprehensive approaches to cloud security, including risk assessment, security auditing, data protection, and cybersecurity frameworks. The book further examines the role of HPC and AI in reducing carbon emissions, strengthening smart farming systems, and protecting critical cyber-physical infrastructure such as smart power grids. The book also aims to address the ethical and policy considerations associated with deploying intelligent high-performance computing systems in digital ecosystems. Key Themes: -Integration of HPC, AI, and cloud computing for sustainable digital transformation.-Cloud security frameworks, cybersecurity challenges, and data protection strategies.-AI- and AIoT-enabled applications for sustainable agriculture and carbon reduction.-Cybersecurity solutions for critical infrastructure and smart power grids.-Emerging ethical, governance, and policy considerations for AI-driven sustainable computing. …

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Taschenbuch. Zustand: Neu. Artificial Intelligence and High Performance Computing in the Cloud | Research and Application Challenges | Mostapha Zbakh (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xii | Englisch | 2025 | Springer | EAN 9783031786976 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Buch. Zustand: Neu. Neuware - The energy consumption of a building has, in recent years, become a determining factor during its design and construction. With carbon footprints being a growing issue, it is important that buildings be optimized for energy conservation and CO2 reduction. This book therefore presents AI models and optimization techniques related to this application. The authors start with a review of recent models for the prediction of building energy consumption: engineering methods, statistical methods, artificial intelligence methods, ANNs and SVMs in particular. The book then focuses on SVMs, by first applying them to building energy consumption, then presenting the principles and various extensions, and SVR. The authors then move on to RDP, which they use to determine building energy faults through simulation experiments before presenting SVR model reduction methods and the benefits of parallel computing. The book then closes by presenting some of the current research and advancements in the field.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - High-performance computing as significantly evolves during the last two decades with the advent and consideration of multicores configurations and general-purpose GPUs. In the same time but more recently, artificial intelligence has gained a serious popularity and is considered in a broad range of applications. Cutting-edge AI, which typically involving large models and huge volume of training datasets, cannot be considered without the support of HPC infrastructures and techniques. Cloud computing is the most affordable way to leverage the power of HPC systems. As collection of valuable inputs from high-standard scientists, 'Artificial Intelligence and High-Performance Computing in the Cloud: Upcoming' is certainly a book that should be given a serious consideration.…