Advancing horizons in remote sensing: a comprehensive survey of deep learning models and applications in image classification and beyond
In recent years, deep learning has significantly reshaped numerous fields and applications,
fundamentally altering how we tackle a variety of challenges. Areas such as natural …
fundamentally altering how we tackle a variety of challenges. Areas such as natural …
The value of convergence research for developing trustworthy AI for weather, climate, and ocean hazards
Artificial Intelligence applications are rapidly expanding across weather, climate, and natural
hazards. AI can be used to assist with forecasting weather and climate risks, including …
hazards. AI can be used to assist with forecasting weather and climate risks, including …
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
Studying low-likelihood high-impact extreme weather events in a warming world is a
significant and challenging task for current ensemble forecasting systems. While these …
significant and challenging task for current ensemble forecasting systems. While these …
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography
Abstract The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and
Coastal Oceanography (AI2ES) focuses on creating trustworthy AI for a variety of …
Coastal Oceanography (AI2ES) focuses on creating trustworthy AI for a variety of …
Integrating Numerical and Physical Insights Into Scientific Deep Learning
M McCabe - 2024 - search.proquest.com
Scientific deep learning is an emerging, exciting field with great potential. Many problems in
computational physics could benefit from the high accuracy function approximation …
computational physics could benefit from the high accuracy function approximation …