A new framework called ESACRIF integrates survival analysis, explainable AI, counterfactual reasoning and profit-aware ...

Another day and another new model grabs the limelight. Product teams scramble to see how it can be used for their own ...

Four models on six public datasets: a majority-class guess, logistic regression, default boosted trees and a 200-fit tuned ...

Researchers in Beijing built logistic regression and XGBoost models that predict bone scintigraphy diagnostic categories before scanning, finding that probability calibration restores reliability ...

Artificial intelligence (AI) models have transformed weather forecasting, but their skill for unprecedented weather extremes ...

Connecting to RAG and maintaining operations You think you've improved the search system, but then you find that documents ...

Bureau of Transportation Statistics updates preliminary estimate models for key U.S. transport metrics, providing faster data ...

Researchers have shown that reasoning models can act as automated jailbreak agents and persuade other AI systems to bypass safety controls.

Last time, I compared five methods side-by-side using the same table and the same data split. The evaluation scores (Macro F1 ...

Distributional regression (DR) refers to regression methods that model the entire conditional probability distribution of a response variable given a set of explanatory variables. The generalized ...

NVIDIA has released Kumo Tabular, an open foundation model that predicts classification and regression outcomes from labeled ...

For stochastic models that can generate different outputs from identical inputs, property-based testing helps identify which ...