The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Subscription fraud doesn’t act like fraud—that’s why most systems miss it. It’s no longer flagged cards or flash-sale spikes—it’s ghosted free trials, promo ...

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

The company wants developers to stop straining its website, so it created a cache of Wikipedia pages formatted specifically ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications.

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using ...

Altair, a global leader in computational intelligence, has partnered with Databricks, the data and AI company, to empower ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

“To truly evaluate and solve A.I.’s black-box paradox, we need to understand it on a psychological and architectural ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...