Science

A novel Bayesian framework leverages probabilistic modeling to discover underlying equations from data, even in the presence of significant noise.

As healthcare increasingly relies on IoT and cloud computing, ensuring data privacy and security is paramount.

Researchers have developed a novel model that combines the strengths of wavelet transforms and transformer networks to achieve more accurate and efficient time series predictions.

New research demonstrates how connecting leading artificial intelligence models to structured knowledge dramatically improves their accuracy and reasoning skills.

A new deep learning approach offers a faster, non-invasive way to assess coronary artery blood pressure using standard imaging techniques.

A new deep learning framework automatically classifies a range of ocular diseases from retinal fundus photographs, promising faster and more accurate diagnoses.

A new framework leverages a model’s self-awareness to dynamically choose the best performing option from a suite of algorithms, boosting overall accuracy.

Researchers have developed an artificial intelligence framework that dramatically accelerates the modeling of blood flow through the body’s smallest vessels.

New research reveals that assessing the safety of large language model advice requires understanding the individual user and their unique vulnerabilities.

Researchers have developed a novel framework that uses textual data to dynamically refine time series models, significantly improving forecasting accuracy.