The butterfly effect suggests that small changes in a system can have a large impact on eventual outcomes. One metaphor used ...

AI weather models can accurately predict everyday weather but often fail to forecast rare, unprecedented events like Category ...

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.

A team of international astronomers led by Richard Teague, the Kerr-McGee Career Development Professor in the Department of ...