UB cancer researchers published a study on why young people vape, and used AI to determine the best ways to get them to stop.

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine learning in regulated finance, governance alignment, fairness, compliance, ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...

Eggs and poultry provide important sources of protein globally, driving a major industry with large economic impacts.

Anisha Jadhav's SPX framework revolutionizes Agile story point estimation. This AI breakthrough, published by IEEE, offers ...

A new study finds that innovation performance across countries is shaped by a tightly interconnected yet uneven global ...