An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...

The combination of artificial intelligence and human collaboration is transforming the analysis of tissue (anatomopathological) samples obtained from biopsies or surgical specimens. A study published ...

U.S. researchers are beginning to identify clinical characteristics that distinguish “super responders” to GLP-1 weight-loss ...

Semiconductors are usually cheaper to buy than make. Nvidia's chips, though, are expensive and in short supply. That's why ...

The Qualcomm Snapdragon X2 Elite improves upon its predecessor in almost every way, with improved performance and efficiency ...

Most of what’s sold as “contextual” today still runs on the same keyword logic we used a decade ago. The industry didn’t ...

Quantum computing is moving from lab curiosity to practical tool far faster than most people realize, and the shift could ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work ...

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

Known as a Tensor Processing Unit (or TPU), it looks like an unassuming little chip but, says Mr Pichai, it will one day ...

It’s useful to think of our engagement with algorithms as a social contract. Political theorists have long used the social contract as a device to explain why individuals submit to the authority of a ...

“Dust, wind and sand dynamics appear to be the main seasonal drivers of slope streak formation,” Bickel said in a statement. ...