AI’s carbon footprint rivals aviation. "Tiny AI" emerges as a greener alternative. Can SLMs and edge-optimised chips shrink ...

The CMU spinout already trained on records from millions of Taiwanese patients, with early testing showing a 50% to 70% ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

Image courtesy by QUE.com AI research has always been a race against complexity: larger datasets, bigger models, and faster ...

Employees can now use AI to create realistic financial documents to defraud employers, elevating the risk of insider threats ...

The technical approach matters because it represents a different model for enterprise AI deployment. While most vendors build ...

Interpretability is the science of how neural networks work internally, and how modifying their inner mechanisms can shape their behavior--e.g., adjusting a reasoning model's internal concepts to ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Advancing rail safety requires sustained collaboration among regulators, railroads, suppliers, and researchers. FRA ...

New research shows supervised machine learning models combining Helicobacter pylori genomic data with patient demographics can accurately predict gastric cancer risk.