Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Researchers developed a Wordle-solving strategy that succeeds 99% of the time by focusing on information gain rather than likely answers. The method uses Shannon entropy to identify guesses that ...

Pasta sauce sold in 41 states has received the FDA's most urgent recall classification due to contamination with a potentially deadly bacteria.

Abstract: Uncertainty analysis of classification or regression models is a key feature of probabilistic approaches to supervised learning, allowing the assessment of how trustworthy predictions are.

Power grid icing is a severe natural hazard that threatens the safe and stable operation of power systems. With the expansion of ultra-high voltage (UHV) power grids, systematic assessment of icing ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

In this mini-review, the methods used to investigate interactions between procedural and declarative systems in category learning are considered. Methods that were originally used to establish ...