A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

For lung resection candidates, adding cardiopulmonary exercise testing parameters to basic clinical data and pulmonary function tests did not yield a significant improvement in machine learning models ...

Setting aside time in the school day to teach students social-emotional skills, such as emotional regulation and perspective-taking, can substantially boost students’ grade-point averages and ...

With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...

In 2017, Morgan Geekie was drafted in the third round by the Carolina Hurricanes. At one of his first training camps, the Hurricanes were required to perform two half-mile assault bike sprints with a ...