A fine-tuned VGG16 network achieved 84.0 percent subset accuracy and an 85.2 percent micro-averaged F1-score on a held-out ...

All materials contain inherent defects. These are not always harmful, since they can be used to engineer and introduce ...

AINewsWire Editorial Coverage: Conversations about artificial intelligence tend to center on models, semiconductors and server farms. Before any of those processors can do useful work, though, each ...

Boost yield and ROI with AI-enabled defect classification, EUV-ready inspection, low false positives, predictive maintenance and fab-wide data integration.Dublin, Oct. (GLOBE NEWSWIRE) -- "Mask ...

Boost EUV ROI through higher yield and uptime, AI-driven process control, defect reduction, resilient sourcing, and high-NA readiness.Dublin, Oct. (GLOBE NEWSWIRE) -- "Extreme Ultraviolet Lithography ...

An attention-enhanced version of the YOLOv8s computer-vision model achieved a precision of 93.2%, an F1-score of 92.7% and a ...

I have urgently changed the topic I announced for next time.I have changed the schedule.To get straight to the point, in the ...

October 2026 - ViTrox Showcases AI-Powered SMT Inspection and Manufacturing Intelligence Solutions at NEPCON Asia 2026. PENANG, MALAYSIA - October 2026 - ViTrox, which aims t ...

OverviewBMW uses AI-powered cameras and sensors to identify assembly errors during vehicle manufacturing.Intelligent ...

A research team led by experts from IBM and Google has developed MAAT, an autonomous multi-agent framework that significantly improves software testing efficiency and accuracy, earning top honors at ...

Pune: AI-powered multi-agent framework research designed to make software testing more autonomous has received the Best Paper Award at the International IEEE Conference on Applied Intelligence and ...

As manufacturers look to automate inspection of increasingly complex, high-value components, KITOV.ai has introduced KITOV Prime, a robotic inspection system designed to automate the visual detection ...