Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...

A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by ...

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars and customized advertisements. Research has shown, however, that these systems memorize ...