The AI models are very good at this. Generally, they can achieve the same accuracy as a top-of-the-line, supercomputer-based ...

In the remote and hostile realm of the Amundsen Sea Embayment, West Antarctica, powerful winds known as low-level jets (LLJs) ...

A recent study published in Geophysical Research Lettersreveals how shifts in water density in the subpolar North Atlantic ...

The sun's corona—the outermost layer of its atmosphere, visible only during a total solar eclipse—has long intrigued ...

Understanding of the long-range atmospheric transport (LRT) behavior of decabromodiphenyl ether (BDE-209) is still limited. Most existing model-based approaches to assessing an organic chemical's ...

Specifically, to break the limitations of existing continuous-time models in handling nonstationary problems, a discrete recurrent neural dynamics model is proposed to robustly deal with noise. This ...

AI neural networks fail to predict unprecedented weather events unless such events have precedent in their training data.

This choice has multiple advantages, including the ease of incorporating physics priors in the dynamics model and perception model, and the ease of planning manipulation actions. In addition, physical ...