Stanford engineers debuted a new framework introducing computational tools and self-reflective AI assistants, potentially advancing fields like optical computing and astronomy.

A new computational approach developed at the University of Chicago promises to shed light on some of the world's most puzzling materials—from high-temperature superconductors to solar cell ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Some requests by reviewers to cite their own publications are coercive and can unnecessarily delay indexation and publication.

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...

Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.

Learn how the flow of costs impacts manufacturing firms, covering raw materials, work-in-process, finished goods, and cost of ...

Introduction This article outlines the research protocol for a multicentre, randomised, controlled study designed to evaluate the therapeutic effect of a modified olfactory training (MOT) based on ...