A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.
Researchers have published research detailing their development of an AI framework to detect defects in additively ...
A new wafer inspection platform combines AI analytics, sub-micron imaging, SWIR sensing, and precision metrology to help ...
Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...
The Department of Science and Technology (DOST) has unveiled new equipment capable of analyzing materials and detecting ...
This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...
TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...
Morning Overview on MSN
BMW uses AI to cut defects and boost efficiency in EV battery cell output
BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes ...
Taiwan-based manufacturer of AI fabric inspection machines shows end-to-end fabric defect detection and data integration from inspection through spreading to cutting NEW TAIPEI CITY, April 30, 2026 ...
As the technology improves, cybersecurity concerns multiply and the need for sophisticated data integration ramps up.
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