Making matters worse, today’s AI chatbots never admit they don’t know something, and they speak confidently and ...

Can weather forecasts speed up predictions to help better prepare for inclement weather? This is what a recent study ...

New research reveals a statistical technique used in Alzheimer's drug trials inflates clinical efficacy claims by 29x.

Artificial intelligence is beginning to transform climate science, not just by improving forecasts, but by helping ...

As generative AI and large language models (LLMs) rapidly reshape the research landscape, psychological scientists are seeking guidance on how to responsibly integrate these tools into their work. The ...

Dr. Scott Simpson, professor of Chemistry and chair of the Department of Chemistry, is a co-author of a newly accepted paper in the Journal of Chemical Information and Modeling that could help ...

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

Abstract: Emerging transistors lack the statistical compact models needed to evaluate the yield of integrated circuits. To address this, we propose a novel framework combining a variational ...

The following is a summary of a story that originally appears on the Trinity College of Arts & Sciences website. As a new assistant professor in Duke’s Department of Statistical Science, Lasse ...

Introduction Today, arterial blood gas (ABG) testing is widely used in various hospital departments to support diagnosing diseases and predicting patient conditions. However, interpreting the ...