In reliability engineering, few indicators are as consistently revealing as the particles that infiltrate a lubrication ...

Engineers can now optimize FDM parts for real applications with reduced trial-and-error testing, allowing manufacturers to ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

As the industry continues to face rising fire incidents and insurance challenges, operators are rethinking how they manage ...

Researchers at the Department of Energy's Oak Ridge National Laboratory partnered with the University of Tennessee to develop ...

Vernon, an industrial town with just a little more than 200 residents, has become Southern California’s unlikely AI data ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...