A new study has unveiled one of the most accurate corporate credit risk forecasting models to date. This study is a result of collaboration among quantitative finance experts from data and AI leader ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

The fracture risk assessment tool (FRAX) has become the most popular predictor in clinical practice since it was developed by the World Health Organization in 2008, but a revision aims to resolve some ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...

While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...

Nvidia used NATTEN to fine-tune its prediction model, Cosmos Predict, and the company introduced the second version of the ...

Sports betting, once confined to race tracks and bookmakers’ offices, has evolved into a structured global industry with ...

Unanet's Kim Koster explains how Probability of Award helps GovCons move from intuition to data-driven forecasting and ...

Official commentary suggests the Fed prefers to keep the crowd guessing, but market sentiment remains moderately confident ...

A new study suggests that advanced artificial intelligence models, increasingly used in medicine, can exhibit human-like ...

Open-weight language models can say "no" only for so long. Their safety filters break down when pushed through longer ...