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Abstract: Visual steel surface defect detection is an essential step in steel sheet manufacturing. Several machine learning-based automated visual inspection (AVI) methods have been studied in recent ...

Abstract: Solar power has become an attractive alternative of electricity energy. Solar cells that form the basis of a solar power system are mainly based on multicrystalline silicon. A set of solar ...

The number of defects detected through inspection is exploding at each new process node. There are now millions of defects being identified on each wafer, but only a fraction of those can cause ...

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AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...

NVIDIA (NASDAQ:NVDA) revealed that Taiwan Semiconductor Manufacturing Co. (NYSE:TSM) is deploying a range of its artificial intelligence and accelerated computing technologies throughout semiconductor ...

Machine vision helps poultry processors automate efficiently. Explore how AI-based vision systems identify defects, prevent costly mistakes, and guide automation strategy.

TSMC has expanded its three-decade partnership with NVIDIA by integrating accelerated computing, CUDA-X libraries, and machine learning models directly into its semiconductor fabrication facilities to ...