Abstract: Defect detection is vital for quality control in industrial production. This article presents a method leveraging pretrained contrastive learning models to enhance defect detection. We ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Aseptic processing demands reliable, robust, and validated analytical methods to ensure sterility, safety, and quality, ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Karavel, the AI-driven compliance platform that streamlines regulatory monitoring, ad reviews and compliance workflows for ...

The next generation of high-bandwidth memory, HBM4, was widely expected to require hybrid bonding to unlock a 16-high memory ...

Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that ...

Daniel Goran, Product Manager at Bruker, gives us a behind-the-scenes look at the new eWARP EBSD system. Here, he explains how the new design meets the needs of researchers with its advanced optics ...

Nanomaterials, Energy Storage, Electrochemical Sensors, Sensing Technologies Share and Cite: Anney, A. and Biswas, S. (2026) ...

Electro- and photocatalytic materials are central to enabling sustainable energy conversion processes such as water splitting, CO2 reduction, oxygen ...

As global markets for high-performance separation materials require increasingly stringent quality assurance standards, ...

This study constitutes a demonstration of highly textured, large-area perovskite photodiodes integrated sturdily onto ...