| Abstract Scope |
Artificial Intelligence (AI) and Machine Learning (ML) are increasingly being integrated into various engineering disciplines, including welding. Although these terms may appear technical or advanced, their fundamental principles are rooted in a concept that is familiar to welders and welding engineers: the ability to learn from patterns, data, and experience.
This keynote is intended to provide a comprehensive introduction to artificial intelligence (AI) and machine learning (ML) specifically tailored for the welding community. Its objective is to dispel misconceptions, foster confidence, and demonstrate how these technologies can complement, rather than supplant, human expertise in welding processes, inspection, and quality assurance. To enhance the accessibility of AI/ML concepts, the presentation commences by positioning these tools as familiar extensions of existing welding tools and techniques, akin to how a welding torch augments the craftsman’s capabilities. Subsequently, it reassures participants that they have already interacted with intelligent systems, such as adaptive controls and automated welders, establishing a shared foundation of experience. The session will elucidate AI and ML in straightforward terms, explaining that these systems do not possess consciousness but rather discern patterns within vast datasets. Finally, it will dispel the notion that AI surpasses human intelligence by presenting it as a rapid-learning assistant that relies on expert input and judgment, particularly in welding, where practical experience holds paramount significance.
Drawing on practical examples, the talk highlights how neural networks, like those developed by pioneering researchers like Prof. Bhadeshia, can predict properties by recognizing relationships between chemistry, process conditions, and resulting microstructures. On the industry side, many manufacturing and information technology companies have begun collaborating on AI-based visual inspection systems to detect weld defects in real-time—offering a glimpse of how these tools are quietly making welding more reliable on the shop floor. |