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

A peer-reviewed study of 64,988 U.S. college students has drawn a sharp line between heavy social media use and loneliness, defining “excessive” as 16 or more hours per week. The research, drawn from ...

As AI models become more capable and more specialised, the question for users is no longer whether to use AI, but which AI to trust for a given task. Perplexity’s latest product update, called Model ...

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

A higher oxidative balance score (OBS), a composite indicator of pro- and antioxidant exposures, is associated with increased odds of allergic rhinitis (AR) in an adjusted analysis, according to a ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by ...

The Fisher–Kolmogorov–Petrovsky–Piskunov equation is a diffusive logistic model for the population density of an invasive species. This paper presents a one-level numerical simulation of the ...

The Ford Escape has been a popular choice among compact SUVs since its debut for the 2001 model year. Having undergone multiple facelifts over four generations, it's almost a shame the American brand ...

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...