“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...

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 ...

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

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 ...

Advanced process control: TSMC is using the NVIDIA cuML machine learning library to accelerate large-scale analytics on NVIDIA GPUs. This lets TSMC speed algorithms and distill hundreds of thousands ...

The chip equipment maker is working with NUS and SIT to speed process development and train engineers for automated ...

Artificial Intelligence is no longer a futuristic concept: it is a present-day force reshaping industries. From healthcare to ...

Deeply's 'Listen AI Industrial' has already proven to have 99.87% accuracy in global automaker (Company H) production lines ...

The collaboration connects research lab optimisation with talent pipeline for industry needs. The National University of ...