Weather forecasting traditionally relies on numerical weather prediction (NWP) systems that integrate global observations, data assimilation (DA), and physics-based models. However, further advances ...
Seasonal climate forecasting is important for societal welfare, as it supports decision-makers in taking proactive steps to mitigate risks from adverse climate conditions or to take advantage of ...
Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...
A new model deployed at Hong Kong Observatory and National Meteorological Centre uses machine learning algorithms to boost ...
FirstQFM, a pioneer in machine learning foundation models for quantum computing, announces a significant milestone in the commercial application of quantum computing today at the ISC High Performance ...
The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...
A recent study has introduced a new machine learning model aimed at improving the accuracy of renewable energy forecasting. Published in March 2021 under the title An Efficient Supervised Machine ...
In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...
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