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 ...

SportsLine's self-learning AI reveals NFL player props and its SGP picks for Ravens vs. Steelers on 'Sunday Night Football' ...

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

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

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

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...