Machine learning (ML ... will need data to “train” the computer algorithms that drive the approach. And this means having process sensors sophisticated enough to track multiple parameters ...

Using wearable sensors and advanced machine learning algorithms, researchers offer a practical and cost-effective solution for capturing detailed movement data, essential for balance analysis.

They're working with colleagues at the University of Maryland, Baltimore and elsewhere to use machine learning algorithms to analyze data from wearable, movement-tracking sensors to help automate ...

The global energy grid is undergoing a profound transformation. Moving from traditional centralized control systems to more dynamic, distributed structures, thi ...