Research and Application Challenges Zbakh, Mostapha. editor. edt http://id.loc.gov/vocabulary/relators/edt Essaaidi, Mohammed. editor. edt http://id.loc.gov/vocabulary/relators/edt Tadonki, Claude. editor. edt http://id.loc.gov/vocabulary/relators/edt Touhafi, Abdellah. editor. edt http://id.loc.gov/vocabulary/relators/edt Panda, Dhabaleswar K. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XII, 306 p. 126 illus., 104 illus. in color. online resource. 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. edited by Mostapha Zbakh, Mohammed Essaaidi, Claude Tadonki, Abdellah Touhafi, Dhabaleswar K. Panda. Engineering Data processing Computational intelligence Artificial intelligence Data Engineering Computational Intelligence Artificial Intelligence TA345-345.5 9783031786983 https://doi.org/10.1007/978-3-031-78698-3 https://doi.org/10.1007/978-3-031-78698-3 250101 20251030114915.0 978-3-031-78698-3