UC San Francisco researchers have found a way to double doctors’ accuracy in detecting the vast majority of complex fetal heart defects in utero – when ... combining routine ultrasound imaging with ...

Combining routine ultrasound imaging with machine-learning computer tools helps detect fetal heart defects ... goal is to help forge a path toward using machine learning to solve diagnostic ...

In semiconductor manufacturing, the goal is to produce chips with no defects ... what it calls acoustic anomaly detection. For this, Micron places a microphone on a robot near the equipment. Using ...

Using machine learning to streamline every phase of ... and Christoph Schmitz AI- and machine learning-based product defect detection and quality assurance show the potential to increase ...

Machine learning has been in use in the inspection arena for the longest ... With this process, KLA was looking to develop an automated detection and classification system for deep trench defects (see ...

In this paper, we used the soft voting technique, which operates on a majority vote using the average ... sophisticated defect detection techniques with machine learning ensemble methods, thereby ...

One key part of Microsoft’s big bet on machine learning is that these technologies ... help you design applications that can use near-real time anomaly detection to deliver results you can ...