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, ...

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 ...

Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...

Successful AI adoption in healthcare depends on scalable infrastructure, trust-building through transparency, and the ...

Detectors trained on human prose can flag straightforward syntax and a measured tone as machine-generated. Society has always ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Presenting a comprehensive benchmark dataset designed to assess the proficiency of AI-generation detectors amidst real-world scenarios. Recent advances in large language models have enabled them to ...

Summary: Researchers successfully utilized machine learning to identify hidden neurological warning signs in the brain’s baseline electrical rhythms, bypassing the need to capture active seizures for ...

In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...

Abstract: Sign language recognition devices are effective approaches to breaking the communication barrier between signers and non-signers and exploring human-machine interactions. Wearable gloves ...