Automated Intent Classification Using Deep Learning . Learn ... Our test accuracy was only 0.70, which pales in comparison to the 0.96 achieved manually in the referenced article.

Essentially, a machine learning framework covers a variety of learning methods for classification, regression, clustering, anomaly detection, and data preparation, and may or may not include ...

TOKYO--(BUSINESS WIRE)--OKI (TOKYO: 6703) has developed ‘ship classification AI system technology’ for the automatic classification of ship types through deep learning of underwater sounds ...

A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...

Sep. 3, 2021 — Researchers have developed a deep learning-based method that can predict the possible onset of Alzheimer's disease from brain images with an accuracy of over 99 percent. The ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...