In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy experiments at the Large Hadron Collider (LHC) is ensuring the quality of ...

A research team at Texas A&M University is studying the use of Siri-like virtual assistant technology for use in space. The ...

Therefore, the autoencoder input and output both have 65 values -- 64 pixel grayscale values (0 to 16) plus a label (0 to 9). Notice that the demo program analyzes both the predictors (pixel values) ...

Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years.

And there are specialized techniques for working with specific types of data, such as fraud detection systems. That said, applying a neural autoencoder anomaly detection system to tabular data is ...

A team of Vietnamese students got to the finals of the LSI Design Contest thanks to an AI chip solution to detect anomalies on objects. The Vietnam National University (VNU) in Hanoi on Friday said ...