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Current IssueComing to Terms With AI
In this issue, we examine the profound effect artificial intelligence and machine learning are having on manufacturing and business processes. We follow technology, innovation, and money as automation becomes the new key indicator of growth in our industry.
Box Build
One trend is to add box build and final assembly to your product offering. In this issue, we explore the opportunities and risks of adding system assembly to your service portfolio.
IPC APEX EXPO 2024 Pre-show
This month’s issue devotes its pages to a comprehensive preview of the IPC APEX EXPO 2024 event. Whether your role is technical or business, if you're new-to-the-industry or seasoned veteran, you'll find value throughout this program.
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iNEMI Call-for-Participation: AI Enhancement to AOI for PCBA, Phase 2
June 27, 2023 | iNEMIEstimated reading time: 1 minute
Join us to learn how artificial intelligence (AI) can enhance performance of automated optical inspection (AOI) machines. This webinar will share results from Phase 1 of the iNEMI AI Enhancement to AOI for PCBA project and talk about plans for Phase 2.
Machine learning and artificial intelligence (AI) models have been adopted to help with the pass/fail judgement of AOI machines, enabling detection of true failures with greater accuracy and in less time. Integration of AI can also help reduce man-hours, re-inspection and repeated machine program optimization processes. In Phase 1, an industry-wide survey assessed adoption status and identified challenges of AI for AOI in board assembly. Based on survey results, the project team designed a test vehicle incorporating the most common defect and component types and ran an experimental trial on AI training and AOI inspection.
Phase 2 of the project aims to establish common language and performance metrics to evaluate the value of adding AI to AOI capabilities and provide recommendations to the industry for future implementation and improvement opportunities. In addition, the project is calling for industry participation in experiments that will use the established test vehicles for training and/or inspection of existing AI for AOI solutions. This project can help industry mitigate technology gaps and improve inspection efficiency and accuracy as well as reduce cost.
Registration
This webinar is open to industry. Two sessions (with the same content) are scheduled, and advance registration is required. Click on the links below to register.
Session 1
Tuesday, July 11
9:00-10:00 a.m. EDT (US)
3:00-4:00 p.m. CEST (Europe)
9:00-10:00 p.m. CST (China)
Session 2
Friday, July 14
11:00 a.m. — 12:00 p.m. CST (China)
8:00-9:00 p.m. PDT (US) on Thursday, July 13
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Nolan’s Notes: Coming to Terms With AI
05/07/2024 | Nolan Johnson -- Column: Nolan's NotesHow fast do things move in the world of data analytics? Here’s an example. We’ve been planning this issue on artificial intelligence for the past few months, and, in fact, I had already written this column about a month ago. Then I went to IPC APEX EXPO and upended it all. I originally had compared AI to drag racing in that (CPU) horsepower and new (data) vehicles have steadily delivered higher performance competition. That seemed pretty accurate given how generative AI models dominated the popular media with amazing results—and sometimes spectacular crashes.