A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining secure clustering with efficient computation, the study ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...

A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes applications. By introducing ...

QuadSci, the most predictive and prescriptive AI for customer intelligence, has been selected as the winner of the 2026 Machine Learning Company of the Year award in the 9th annual AI Breakthrough ...

SYDNEY, June 24 (Xinhua) -- Scientists in Australia have developed an "explainable" artificial intelligence (AI) tool that could help doctors diagnose schizophrenia by analyzing brainwave patterns.

Scientists in Australia have developed an “explainable” artificial intelligence (AI) tool that could help doctors diagnose schizophrenia by analyzing brainwave patterns, AzerNEWS reports, citing ...

Magdalena Ramada, global insurtech innovation leader at WTW, spoke with Digital Insurance about the value and potential of AI ...

Shekar Vollem, a Senior Software Engineer, researcher, inventor, peer reviewer, and technology leader whose work spans ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.