MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...

Revolut, the global fintech with more than 65 million customers, is launching a new in-app feature designed to protect users ...

Researchers at China University of Petroleum (East China) present a comprehensive AI-driven strategy that enhances the efficiency and reliability of materials research across semiconductors, ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Abstract: Cardiovascular disease remains a major global health issue requiring accurate early risk prediction to enable timely intervention. Traditional approaches ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...