The model, trained and tested using anonymized medical data from the UK and Denmark, is able to predict health events over a ...

The researchers said their AI tool can predict diseases up to 20 years in advance, especially cancers, heart attacks, and ...

UPDATE (10/22/2025): A judge’s order from Oct. 22 extends Richard Allen’s timeline to file an appellant brief to within 55 days. INDIANAPOLIS — A motion filed this week in the appeal of Richard ...

The pan-Hellenic sanctuary of Delphi, where the oracle of Apollo spoke, was the site of the omphalos, the 'navel of the world'. Blending harmoniously with the superb landscape and charged with sacred ...

Artificial Intelligence, or AI, is now transforming how we detect, prevent and treat illness, promising earlier interventions, smarter therapies and more affordable care for everyone.​ ...

FNSPID (Financial News and Stock Price Integration Dataset), is a comprehensive financial dataset designed to enhance stock market predictions by combining quantitative and qualitative data. It ...

Abstract: Due to their large bandwidth, relatively low cost, and robust performance, Ultra-Wideband (UWB) radio chips can be used for a wide variety of applications, including localization, ...

In this repository, we provide a continuously updated collection of popular real-world datasets used for anomaly detection in the literature. Some of the datasets are converted from imbalanced ...

Abstract: Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have driven development in computer vision tasks such ...

Before joining CMU I was a Florence Nightingale Bicentennial Fellow and Tutor in Computational Statistics and Machine Learning at the University of Oxford. Prior to that, I was a Data Science ...