Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...

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AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered state, it can form stable imperfections known as ...

Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...

Gas-insulated equipment is an important part of the power system owing to its advantages of small footprint, large transmission capacity, and high reliability. Detection of insulation defects partial ...

Abstract: The mechanical defects of gas-insulated switchgear (GIS) equipments seriously threaten their safe and stable operation, but there are detection problems such as latency and weak vibration ...

This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal ...

Many driven and active nematic fluids exhibit complex microstructures, but their characteristics and dynamics are poorly understood. We explore the structures emerging in a pressure-driven nematic ...

Mechanism of the loss of activity of the most severe patient-derived mutants of glucose-6-phosphate dehydrogenase (G6PD) deficiency has remained elusive despite the availability of the G6PD structures ...