Lattice Semiconductor announced the latest release of the Lattice sensAI solution stack, delivering expanded model support, ...

Surprisingly, the training increased accuracy by similar amounts in super recognizers and typical recognizers, Gray said.

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

A booth demo highlights why the Cognex In-Sight 3800 makes quick work of executing inspection tasks on high-speed ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled downtime at a BMW plant.

Celeprint push throughput boundaries. Manufacturers prioritize hybrid solutions to tackle yield issues, while automotive giants integrate transparent screens. Future growth hinges on achieving ...

Abstract: Aiming at the problems of low detection accuracy and high miss rate for small-object defects on tile surfaces, this paper proposes a detection algorithm based on Improved YOLO11. Firstly, ...