NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

New "Prism" workspace launches just as studies show AI-assisted papers are flooding journals with diminished quality.

Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.

Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI ...

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

The U.S. Food and Drug Administration (FDA) has issued new draft guidance modernizing statistical methodologies used in clinical trials, formally recognizing Bayesian approaches that align with the ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...