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 ...

The MarketWatch News Department was not involved in the creation of this content. Deep learning reduces simulation times from hours to milliseconds DAEJEON, South Korea, Jan. 27, 2026 /PRNewswire/ -- ...

The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.

Photo-induced force microscopy (PiFM) is a sophisticated nanoscale characterization approach that combines the elevated spatial resolution of atomic force microscopy (AFM) with infrared (IR) ...

Built a real-time, purely classical computer vision system for fabric defect detection using multi-method analysis (GLCM, FFT, Gabor, statistical variance, background subtraction, and edge–Hough), ...

In May 2025, Google officially introduced Material 3 Expressive, the next evolution of Android’s design language, arriving after the launch of Android 16. This sweeping UI update is a significant step ...

A swastika and German eagle tiled into the floor of a Beaver County home do not represent a material defect and the building’s seller was under no obligation to inform potential buyers of the hate ...

A FastAPI application for detecting defects in fabric images using a YOLO11l model. Upload an image via the API and get predicted defects, confidence scores, and annotated heatmaps.

Thanks to advances in metrology, it’s now possible to scrutinise a SiC puck before it’s wafered and identify material defects that govern yield and profitability. BY IVAN ORLOV, CAROLINE CHÈZE AND ...

A research team from Skoltech, Ben-Gurion University of the Negev, N.M. Emanuel Institute of Biochemical Physics RAS, and other scientific organizations have studied the effect of various types of ...