Science

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.

Researchers demonstrate a new framework for performing probabilistic reasoning with biologically inspired spiking neural networks.

New research reveals how strategically designed assessments, built around interconnected problems, can effectively evaluate genuine understanding and resist being solved by generative AI.

A novel methodology combining machine learning with expert insights is offering more accurate forecasts of illegal border crossings into Europe.