This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Trained on 9.7 trillion tokens of evolutionary data, EDEN designs therapeutics from large gene insertion to antimicrobial peptides.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...

Life on the windswept plains of what is now central Ukraine offered little mercy around 18,000 years ago. Trees were scarce.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...