Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...

Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

A biotech company is using dogs and AI-powered breath analysis to improve early cancer detection through non-invasive at-home screening.

What do you love about coffee? Is it the caffeine boost in the morning, the creamy sweetness of a cappuccino or latte, the bucket of filter coffee you can sip on all day, or the quick kick of a good ...

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers identify potential system failures before they cause major problems, like a ...

Abstract: Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test questions based on individual performance.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...