An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...

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

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

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 ...

The adoption of deep learning techniques in recent literature is motivated by their superior performance compared to classical machine learning methods. However, ethical and regulatory concerns ...

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

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

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...

AI’s next wave is physical. The winners will turn real-world data into reliable, safe machines that can work outside the demo ...

The terrestrial water cycle is a fundamental component of Earth's climate system, governing the exchange of water between land surfaces and the atmosphere.

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 ...

Abstract: Accurate and interpretable suicide risk assessment is critical for timely intervention in mental health contexts. This study presents an explainable machine learning approach for suicide ...