Case Studies of AI for Superhuman Quality Control in Electronics
The question is not whether manufacturers should adopt AI, but how quickly they can start reaping its benefits.
Artificial intelligence (AI) is reshaping industries globally, and new innovations are unlocking benefits across the manufacturing sector. Quality control is one of the largest opportunities for the application of AI technologies. In a recent webinar titled “AI for Electronics Quality Control: Practical Applications & Case Studies,” I shared how machine learning and AI can revolutionize quality control in electronics manufacturing. I want to shed light on the profound impact these technologies have on improving processes, reducing costs, and enhancing product quality.
AI isn’t just one “thing,” it’s a collection of technologies – a toolbox filled with various tools, each suited for specific tasks. For the electronics manufacturing world, the most relevant tools are: