BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Greater adherence to healthful plant-based dietary patterns was associated with lower breast cancer incidence and reduced all ...

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

For retailers and investors, the message is that consumers are still in the game—they’re just demanding a clearer value ...

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...

New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...

The four faculty that assembled to explore artificial general intelligence represent multiple disciplines across UC San Diego, a public research university that prioritizes cross-collaboration.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...