Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

The accuracy of weather forecasts produced by AI models beat meteorologists’ contemporary methods. But how they work is a bit ...

Many personal transportation-related decisions—such as vehicle purchases—are influenced by life events, like the birth of a child or a change in employment. Modeling tools that reflect how life ...

Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

It seems like yesterday, long before there were handheld GPS units, smart phones and even Google Maps that my staff and I were prepping for another set of proof of performance measurements. Drawing ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.