This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

There are a number of complex tasks involved in the manufacturing of electronic assemblies, all of which can go wrong. In order to ensure quality standards are met, the fabrication of the printed ...

The evolution of PCBs from large and antiquated “printed wiring boards” to today’s fine-line designs on high-density interconnect (HDI) PCBs, IC substrates (ICS) and more, has been matched by ...

Analyzing failures in printed circuit boards (PCBs) is critical to ensure the functionality and reliability of electronic devices. A synopsis of the methods and techniques utilized in PCB failure ...

Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...