Results 21 to 30 of about 66,359 (302)
Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System
Journal of Advances in Modeling Earth Systems, 2022 Model bias is one of the main obstacles to improved accuracy and reliability in numerical weather prediction conducted with state‐of‐the‐art atmospheric models. To deal with model bias, a modification of the standard four‐dimensional variational (4D‐Var)
Patrick Laloyaux +3 more
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Multiple scenario profiling to improve power integrity analysis coverage
Dianzi Jishu Yingyong, 2018 The ultra-high transistor density and increasing frequency lead to more critical power integrity issues. Vector-dependent simulation based on FSDB generates more accurate analysis. It’s not practical to simulate full chip through the simulation cycle, it
Xu Huimin, Zhu Weiwei, Shi Jian′an
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Information, 2020 Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the massive piles
Sebastian Raschka +2 more
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Methods for evaluating the adoption and use of digital technologies in GLAMs
MethodsX, 2020 This article provides a method from which the breadth of adoption and use of digital technologies may be evaluated. Whilst the method can be used for individual devices, it was designed as a means for understanding the well-being of all devices within a ...
Eugene Ch’ng, Shengdan Cai
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, 2023 <p>CUDA Quantum is now available <a href="https://pypi.org/project/cuda-quantum/">on PyPI</a>! For the initial PyPI release, the NVIDIA multi-gpu and tensornet backends are not yet included. Check out our Docker images <a href="https:
The CUDA Quantum development team
core +1 more source
Current Directions in Biomedical Engineering, 2016 UWB microwave imaging has proven to be a promising technique for early-stage breast cancer detection. The extensive image reconstruction time can be accelerated by parallelizing the execution of the underlying beamforming algorithms.
Salomon Christoph J. +2 more
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Residual corrective diffusion modeling for km-scale atmospheric downscaling
Communications Earth & EnvironmentState of the art for weather and climate hazard prediction requires expensive km-scale numerical simulations. Here, a generative diffusion model is explored for downscaling global inputs to km-scale, as a cost-effective alternative.
Morteza Mardani +12 more
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Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Artificial intelligence for quantum computing
Nature CommunicationsArtificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas.
Yuri Alexeev +27 more
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Lightweight Fruit-Detection Algorithm for Edge Computing Applications
Frontiers in Plant Science, 2021 In recent years, deep-learning-based fruit-detection technology has exhibited excellent performance in modern horticulture research. However, deploying deep learning algorithms in real-time field applications is still challenging, owing to the relatively
Wenli Zhang +11 more
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