Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...