Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

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

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

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.