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

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...