A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

In the 21st century, as global trade expands and cargo volumes surge, ports face mounting pressure to operate efficiently. A ...

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...

Shayne Coplan started Polymarket five years ago. He claims it is the most accurate tool out there for predicting future ...

Meadows once teeming with buzzing insects and colorful plants are quietly losing their diversity. But how fast is this change ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

Meteorologists are agog at the accuracy of a brand-new artificial-intelligence-based hurricane model. Google’s DeepMind model — which uses historical data, not physics, in its forecasts — outperformed ...