Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.

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

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.

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

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...