Very few can get high-accuracy answers consistently,” said Ravi Bommakanti, CTO of App Orchid. “Our Conversational Analytics Agent doesn’t just retrieve data, it interprets intent, applies context, ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Families of Black homicide victims are more likely to file victim compensation claims but face disproportionately high denial ...

With a projected market size of $166.6 billion by 2029, alloy steel remains vital for industrial processes, driven by its ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may ...

The centroid radii model (CRM)—defined as the distance from aneurysm surface points to the centroid—has shown promise in distinguishing ruptured from unruptured intracranial aneurysms by capturing ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Abstract: The Yang and Prentice (YP) regression models have attracted considerable attention in the scientific community due to their ability to handle survival data with crossing hazard functions.

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...