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 ...

If a physician needs to see what’s gone wrong inside a human body, it’s easy enough to order an ultrasound scan. But if the structural engineer wants to do the same in a block of concrete, his options ...

For entrances and transition areas, Magnattack Global developed a Magstride cleanable mat that contains 200 magnets that can ensure that metal fragments or metallic dust is not inadvertently tracked ...

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/ ├── ...

A notional concept for NASA's Habitable Worlds Observatory, a large space telescope proposed to launch as soon as the early 2040s. Credit: NASA's Goddard Space Flight Center Conceptual Image Lab ...

Abstract: The surface condition of rails is important for ensuring the safe and stable operation of railway vehicles, so real-time defect detection of rail surfaces is essential. However, manual ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

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 ...