Fuxi
PulseAugur coverage of Fuxi — every cluster mentioning Fuxi across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI framework 3DTCR enhances tropical cyclone intensity prediction
Researchers have developed 3DTCR, a novel AI framework designed to improve the prediction of tropical cyclone intensity. This system reconstructs detailed three-dimensional structures of cyclones from global weather for…
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WeatherBridge adapter improves AI weather forecasts by bridging NWP and ERA5 data
Researchers have developed WeatherBridge, a novel adapter designed to improve the accuracy of pretrained weather forecasting models. This adapter bridges the gap between operational numerical weather prediction (NWP) in…
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VeinCast framework enhances weather forecasting with physics-guided graphs
Researchers have developed VeinCast, a novel framework for global medium-range weather forecasting that integrates physics-guided dynamic field graphs with graph-conditioned fusion. This approach combines predefined atm…
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AI weather emulators show promise but struggle with extreme heat prediction accuracy
A new arXiv paper evaluates six deep learning weather emulators, including Pangu-Weather, FuXi, ArchesWeather, AIFS, GraphCast, and Aurora, against traditional physics-based models for predicting extreme heat events. Wh…
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Ancient Chinese I Ching and Leibniz's binary system linked to AI origins
The development of artificial intelligence is rooted in a historical intellectual exchange between China and the West, predating modern computer science pioneers. German polymath Gottfried Wilhelm Leibniz developed the …
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AI weather models lag physics-based approaches for extreme events
AI weather models like GraphCast, PanguWeather, and Fuxi are showing promise in predicting daily weather conditions, surpassing traditional physics-based models in some instances. However, a recent study indicates these…
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AI weather models show promise for extreme event prediction with uncertainty quantification
A new study published on arXiv investigates the effectiveness of AI-based weather models in predicting extreme events by quantifying their uncertainty. Researchers found that while models like FuXi, GraphCast, and SFNO …