AI-enhanced vision systems automate medical device quality control, replacing manual inspection with flexible solutions.

A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science ...

Abstract: Insulator defect detection (IDD) of transmission lines is crucial for power system safety and stability, with Un-manned Aerial Vehicle (UAV)-based machine learning methods becoming prevalent ...

The ‘Tapping Mode SQUID-on-Tip’ (TM-SOT) microscope enables multimodal imaging to be performed extremely close to the sample surface using tapping mode feedback. This allows for stability during ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...

The largest liver study in the history of the NHS has launched this week, aiming to detect liver disease at an early stage so treatment can begin before it progresses to cirrhosis. Around 70% of ...

Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...

DDA provides real-time defect detection capabilities for manufacturing quality control using computer vision and machine learning. The system runs at the edge using AWS IoT Greengrass, enabling ...

Microsoft’s cross-platform .NET takes interesting dependencies, including a fork of Google’s Skia, now to be co-maintained with Uno Platform. The news that the .NET UI framework Uno Platform project ...