In the United Arab Emirates (UAE), extreme weather events disrupt daily life, delaying flights, endangering transportation, and complicating urban planning. High daytime temperatures limit human activity outdoors, while dense nighttime fog is a frequent cause of severe and often fatal car crashes. Meanwhile, 2024 saw the heaviest precipitation event in the country in 75 years��
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Machine learning-based weather prediction has emerged as a promising complement to traditional numerical weather prediction (NWP) models. Models such as NVIDIA FourCastNet have demonstrated that the computational time for generating weather forecasts can be reduced from hours to mere seconds, a significant improvement to current NWP-based workflows. Traditional methods are formulated from��
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AI and its newest subdomain generative AI are dramatically accelerating the pace of change in scientific computing research. From pharmaceuticals and materials science to astronomy, this game-changing technology is opening up new possibilities and driving progress at an unprecedented rate. In this post, we explore some new and exciting applications of generative AI in science��
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Physics-informed machine learning (physics-ML) is transforming high-performance computing (HPC) simulation workflows across disciplines, including computational fluid dynamics, structural mechanics, and computational chemistry. Because of its broad applications, physics-ML is well suited for modeling physical systems and deploying digital twins across industries ranging from manufacturing to��
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At NVIDIA GTC 2023, NVIDIA unveiled notable updates to its suite of NVIDIA AI software for developers to accelerate computing. The updates reduce costs in several areas, such as data science workloads with NVIDIA RAPIDS, model analysis with NVIDIA Triton, AI imaging and computer vision with CV-CUDA, and many more. To keep up with the newest SDK advancements from NVIDIA, watch the GTC keynote��
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NVIDIA Base Command Platform provides the capabilities to confidently develop complex software that meets the performance standards required by scientific computing workflows. The platform enables both cloud-hosted and on-premises solutions for AI development by providing developers with the tools needed to efficiently configure and manage AI workflows. Integrated data and user management simplify��
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