Using a text classification model trained on historical data, enterprises can ... the model’s performance by plotting the confusion matrix and computing accuracy, precision, and recall.

AI could help pathologists identify HER2-low and HER2-ultralow breast cancers with greater accuracy, according to findings scheduled for presentation at ASCO Annual Meeting.In a study of more than 100 ...

While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the box.

Objective Neonatal sepsis is a significant cause of morbidity and mortality, particularly in preterm infants. Despite its ...

The proposed system redefines smart livestock farming by eliminating the need for wearable devices and manual observation.

Lipostar processed data with a blank filter, with variables annotated using the selected database. Lipostar allows users to ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

By applying this technique on a set of support vectors and not on a full dataset, we achieve a significant reduction of the computational time and increased accuracy. Finally, a standard multi-class ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

The new benchmark, called Elephant, makes it easier to spot when AI models are being overly sycophantic—but there’s no ...

A new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at ...