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Researchers built an AI system that adapts to process changes, maintaining defect detection accuracy and lowering retraining ...
Our fifth annual Forbes Asia 100 to Watch list provides a window into the vibrant world of startups and small companies in ...
Event-based cameras and real-time motion analysis are redefining robot vision, tackling assembly challenges that traditional ...
Interesting Engineering on MSN2d
New hybrid 3D printing method reduces plastic waste while preserving durability
A new MIT toolkit blends eco-friendly filaments with strong plastics, making 3D printing greener without losing strength.
Tech Xplore on MSN12d
KAIST develops AI that automatically detects defects in smart factory manufacturing processes even when conditions change
Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory ...
AZoRobotics on MSN11d
Self-Adapting AI for Smart Factory Defect Detection
KAIST researchers introduce TA4LS, an AI technology that adapts to manufacturing changes, improving defect detection accuracy by up to 9.42% without retraining.
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