Ôîðóìû
Ñåðâåðû
Ñóñï³ëüñòâî
|
|
The integration of artificial intelligence (AI) and machine learning (ML) in welding inspection technology has opened up new possibilities for improved defect detection and classification. AI-powered algorithms can analyze large datasets of inspection results, identify patterns, and predict defect likelihood. ML-based systems can learn from experience and adapt to new inspection scenarios.
