Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

The output of computer-vision research is overwhelmingly aimed towards monitoring humans. The potential ethical implications need more scrutiny.

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

In today’s increasingly digital economy, utility providers — whether delivering electricity, gas, water, or broadband — ...

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

A sweeping new review reveals how satellites are helping scientists track a quiet but widespread shift in global agriculture: ...

Detection of similar representations of a given query time series within longer time series is an important task in many applications such as finance, activity research, text mining and many more.

Wear an Apple Watch? Make sure you know about these health features that can help you better monitor your health right from ...

Cash has always been humanity’s oldest companion in the grand bazaar of existence. In the early chapters of our financial ...

Keywords: situatedness, individuality, kinematic data, optimal movement, fatigue, support vector machine, machine learning, movement classification. Citation: Burdack J, Horst F, Aragonés D, Eekhoff A ...