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 ...

Learn how the Advanced Internal Rating-Based (AIRB) approach helps financial institutions internally assess credit risk using ...

Introduction Many neonatal deaths are avoidable using existing low-cost evidence-based interventions. This study evaluated ...

Lakeland Financial (LKFN) is drawing attention after recent share performance metrics showed mixed signals, with a small 1 day gain and negative returns over the past 3 months and year for long term ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

TEAM may encourage hospitals to improve the quality of the care their patients receive after being discharged. But it also ...

Key Insights WSP Global's estimated fair value is CA$197 based on 2 Stage Free Cash Flow to Equity WSP Global's ...

Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Graduate School of Integrated Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Japan As part of the robotics technologies required for In-situ resource utilization ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...