Any home gardener knows they have to tailor their watering regime for different plants. Forgetting to water their flowerbed ...

This work marks the first practical use of boson sampling, long seen as a key demonstration of quantum computing’s potential to outperform classical methods. The researchers used computer simulations ...

FICO has updated its latest credit score models to include buy now, pay later data, showing how important this pandemic-era tool has become in the overall consumer debt market. The credit score ...

A Tribune reporter and data nerd went looking for a smarter way to evaluate and draft NBA players. From Cooper Flagg to a few under-the-radar risers, here's what he found.

The training of molecular models of quantum mechanical properties based on statistical machine learning requires large data sets which exemplify the map from chemical structure to molecular property.

For the extended state observer (ESO) design, the most challenging issue is to exploit efficient nonlinear observation performance, while maintaining desirable linear numerical tractability under ...

Streamflow modeling is considered as an essential component for water resources planning and management. There are numerous challenges related to streamflow prediction that are facing water resources ...

The data to train clinical AI models for hospitals and other health-care settings need to accurately reflect the variability of patients, diseases and medical practices, she adds. Without that, the ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...