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 ...

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

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

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 ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

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

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

See how automotive testers handle hardware-driven, safety-critical systems to gain fresh insight into testing complex ...

Stephens Annual Investment Conference 2025 November 18, 2025 9:00 AM ESTCompany ParticipantsAaron Foley - Senior ...

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

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

Red Hat said OpenShift 4.20 has new capabilities to simplify the deployment and management of large AI workloads. For example, the LeaderWorkerSet application programming interface automates ...