Alphabet's Google and OpenAI said their artificial-intelligence models won gold medals at a global mathematics competition, ...

Deep research’ AI agents combine large language models with sophisticated reasoning frameworks to conduct in-depth, ...

Climate models are no longer anchored in historical hindsight – they’re evolving into tools for stress-testing an increasingly volatile future. For Kevin Sharp (pictured), chief risk officer at ICAT, ...

This story was originally published by the Reuters Institute for the Study of Journalism.

The culprit isn't computational power or model sophistication — it's data variety. While enterprises rush to deploy large ...

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic applications.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.