Abstract: The focus of this research is to use deep learning models to advance PCB (printed circuit board) panel defect detection in industrial manufacturing, in particular to evaluate and compare the ...
Researchers have published research detailing their development of an AI framework to detect defects in additively ...
Smart manufacturing technologies, such as digital tools and connected systems, can improve visibility, performance and ...
Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
Artificial intelligence is reshaping additive manufacturing by enabling real-time process optimization, automated design generation, and advanced quality control. From aerospace to food production, AI ...
Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
Abstract: As hybrid bonding becomes more prevalent in 3D semiconductor packaging, detecting and identifying defect formation in multi-layer stacked dies become increasingly important. This study ...
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