Software defect prediction has become an indispensable strategy for preserving system quality and optimizing maintenance efficiency in modern software engineering. However, data scarcity in new ...

Laser powder bed fusion (LPBF) is revolutionizing metal 3D printing, but ensuring consistent quality is still a challenge. Researchers are now using AI and machine learning to monitor melt pools, ...

The AIM9 inspection platform combines visual inspection and leak detection with outputs of up to 600 vials per minute, ...

BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes ...

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing demand for smaller, faster, and more powerful chips. As the speed of ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

ABSTRACT: Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy ...

Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...

Abstract: Micro-LEDs are pivotal for next-generation display and sensing technologies, where high-precision defect inspection is essential. Existing methods often struggle with subtle inter-class ...