Micro-gesture recognition (MGR) is emerging as a new frontier in affective computing, focused on analyzing subtle, involuntary body movements that ...

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

This article is about a real event. It is not satire, parody, or metaphor. In late April 2026, OpenAI publicly explained why ...

Combines Virgo's endoscopy dataset with Rajpurkar Lab's medical AI expertise to advance disease detection, risk ...

EMBL Grenoble's Marquez Team has developed an AI-based training method that automates crystal screening and identification ...

This Perspective reviews how AI is moving drug discovery from long, costly experimental pipelines toward earlier clinical translation, with an AI-designed TNIK inhibitor trial serving as an important ...

Edinburgh-based AI consultancy, New Gradient, has developed a pioneering machine learning tool to enhance woodland monitoring ...

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model performs. The business case stacks up on paper. Then production arrives, and ...

A Scottish artificial intelligence firm has developed a machine learning tool to accelerate woodland creation. Backed by the ...

"The results have been overwhelmingly positive, demonstrating a validated approach to automated woodland measurement, reporting and verification using Earth observation data.” Edinburgh-based Heineken ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...