Read more about Textile industry embraces AI for defect detection amid data and cost challenges on Devdiscourse ...

Detecting macro-defects on wafers and tracing them to their root cause is getting easier due to tool improvements and ...

Dr. Kotecha has redefined engineering education by integrating emerging technologies, global collaborations, and experiential ...

Artificial intelligence has long been tethered to high-performance data centers and cloud computing, reliant on the massive infrastructure needed to train and run deep learning models. But as AI ...

Google Cloud CEO Thomas Kurian has revamped the channel go-to-market strategy, introduced a slew of AI innovation and tells ...

Increasing complexity of semiconductor devices necessitates a fundamental rethinking of defect detection methodologies.

The field of computer vision has witnessed significant advancements in recent years, driven by the development of deep learning models and the availability of large-scale datasets. However, despite ...

Inside India’s smart factories, AI doesn’t sleep—robots team up, machines predict failures, and digital twins rethink reality ...

Explore advanced methods for measuring display defects and mura, analyzing their correlation to human visual perception for ...

To address this issue, this study proposes an adaptive foreground perception-based data augmentation (AFP-IA) strategy for IPR defect detection. This strategy employs appropriate digital image ...