The statistical architecture behind the new analysis deserves attention because it differs meaningfully from the ...

Researchers have built a Bayesian liquid neural network that scores posture quality while quantifying its own uncertainty and ...

A Bayesian system stabilizes quantum links, achieving phase stabilization at the shot-noise limit—the lowest possible noise ...

Large language models (LLMs), the artificial intelligence (AI) systems underpinning the functioning of ChatGPT and other ...

This valuable study substantially improves the phylogenetic framework for Kinetoplastea through greatly expanded sampling of free-living neobodonids; the phylogenomic analyses provide convincing ...

We trained ChatGPT to project the final score for every college football game in Week 6, along with ATS and Over/Under picks ...

Understanding how contagion unfolds on large, heterogeneous networks is essential for predicting and controlling spreading ...

Mechanistic modeling of chemical transformations offers a compelling basis for understanding reactivity and allows for ...

I have written about computational psychiatry in several articles so far. Since then, there has been considerable progress in research, but it does not seem to be a topic of much discussion in the ...

Introduction A few years ago, I was running demand forecasting models for work. The accuracy was decent, and the dashboard ...

A multi-fidelity tabular prior-data fitted network model for accurate prediction and uncertainty quantification Accurate prediction of unknown labels from feature-label datasets using machine learning ...