A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

In this piece Rajat Kochhar of Ericsson's CTO office looks at the possibilities quantum AI offers for the telecoms space.

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

For years, the loudest argument around generative tools has been that artificial intelligence will flatten originality and smother human imagination. A growing body of research is now pointing in a ...

The most effective way to resolve disputes is to prevent them from arising in the first place. Businesses that make the ...

In 1969, Jack and Laura Dangermond launched Esri with a bold idea: geographic tools could help people understand – and ...

As AI embeds itself into every corner of business, most executives continue to underestimate the distinct security risks ...

The first time a Large Language Model engine openly takes responsibility for personal health. A transformative step for ...

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...

MicroRNAs, whose discovery was recognized with the 2025 Nobel Prize in Physiology or Medicine, are central regulators of gene ...