Researchers are trying to understand why some wild species do better than others over time, as the environment changes.

Using machine learning and math, a Brigham Young University student improved a key tool firefighters rely on during wildfire season As Utah enters the heart of wildfire season, wind might be the most ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

The formula, developed by a URV research team, accurately describes the movement patterns of people. The results have been published in the journal Nature Communications How many people will travel ...

The Tokyo University of Science in Japan shares that a recent “breakthrough” will improve AI applications in finance, weather forecasting, and speech recognition. Reservoir computing is said to be ...