“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.
Abstract: Semiconductor manufacturers aim to fabricate defect-free wafers in order to improve product quality, increase yields, and reduce costs. Typically, wafer defects form spatial patterns that ...
The chip equipment maker is working with NUS and SIT to speed process development and train engineers for automated ...
The collaboration connects research lab optimisation with talent pipeline for industry needs. The National University of ...
Deeply's 'Listen AI Industrial' has already proven to have 99.87% accuracy in global automaker (Company H) production lines ...
Soldier systems operating at the tactical edge are failing not because they lack advanced sensors or autonomy, but because ...
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
Wind shear, a sudden change in wind speed or direction, is a major cause of aviation incidents; it was responsible for 18% of ...
A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...
A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from ...
Neutrino experiments are entering an era of unprecedented detector scale, precision, and data complexity. From liquid argon time projection chambers and ...
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