Semiconductor Engineering

Identifying PCB Defects with a Deep Learning Single-Step Detection Model

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 ...
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Deep learning automates defect detection in 2D materials

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...
pv magazine International

Ensemble deep learning for PV cell defect detection

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
PV Tech

‘Deep-level’ defects can enhance silicon cell efficiency – NREL

Certain defects in silicon solar cells appear to improve their performance, according to research by scientists at the US government's National Renewable Energy Laboratory. Published yesterday in a ...