Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...

We consider a functional linear Cox regression model for characterizing the association between time-to-event data and a set of functional and scalar predictors. The functional linear Cox regression ...

From edge innovation to universal AI model builder: ModelCat emerges with a fresh brand, expanded vision, and groundbreaking "AI-in-the-Loop" technology for the $1.8T AI solutions market. SUNNYVALE, ...

Anthropic, an artificial intelligence research company, has published findings indicating that large language models (LLMs) may perform worse when given more time or steps to reason during inference.

New estimators for Cox regression that maximize a weighted version of the partial likelihood are considered. Their asymptotic properties on the model are sketched. Estimators with bounded influence ...