The new research, published in the Journal of Machine Learning Research, takes an innovative “axiomatic approach” to defining ...

Combining data across mismatched maps is a key challenge in global health and environmental research. A powerful modeling ...

Learn how transformer-based models like Chronos and PatchTST are revolutionizing predictive analytics across industries.

The legal AI landscape remains fragmented, with different European countries piloting tools like contract management AI in ...

Large language and deep learning computing models – two systems generally thought of as simply AI – are commonly used these ...

Using a newly developed verification framework, researchers have uncovered safety limitations in open-source self-driving ...

Gully erosion is the most severe form of soil erosion, and it can seriously impact agricultural fields, contributing to ...

The clean energy transition requires new means to transport energy that are less reliant on burning fossil fuels. This ...

University of Utah researchers have unveiled a new tool kit that uses AI to predict whether individuals will develop progressive and chronic diseases years before symptoms appear.

Background Current cardiovascular disease (CVD) risk prediction models tailored for older adults are inadequate. This study ...

Abstract: The Spatio-Temporal Traffic Prediction (STTP) problem is a classical problem with plenty of prior research efforts that benefit from ... we propose an analytic framework, called STAnalytic, ...