High performance computing artificial (83 risultati)

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Paperback or Softback. Condizione: New. High-Performance Computing and Artificial Intelligence in Process Engineering. Book.

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Condizione: New. In English.

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Hardback or Cased Book. Condizione: New. High Performance Computing and Artificial Intelligence for Geosciences. Book.

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Condizione: New. In English.

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Taschenbuch. Condizione: 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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hardcover. Condizione: Fine.

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Condizione: 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. Condizione: 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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Hardback. Condizione: New.

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