Abstract: Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

YourStory presents the daily news roundup from the Indian startup ecosystem and beyond. Here's the roundup for Wednesday, ...

Abstract: Drowsiness while driving is a core threat to global safety on roads, resulting in significant traffic accidents and fatalities. Efficient strategies to combat drowsy driving are an emerging ...

Summary: Researchers established the first direct, non-invasive molecular tracking method to objectively measure sleep deprivation within human bodily fluids. P The research team tracked healthy adult ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

The transportation management system has significant opportunity to combine fleet data with machine learning to make new solutions. Many practical AI tools for fleets are available on transportation ...

A high-performance biodegradable pressure sensor has been developed as a key technology for wearable AI health care robotics ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.