New Study on Synthetic Data-Driven Sub-surface Anomaly Detection by VE3 AI Research

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...
Technology Networks

AI in the LIMS: How Machine Learning Is Changing Research Data Management

AI in LIMS platforms is reshaping research data management, from automated data capture to anomaly detection. Discover how ...
Electronic Design

Explainable AI for Anomaly Detection

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier detection. There ...

AI-based tissue anomaly detection may reduce duration of liver cancer surgery

A liver cancer diagnosis frequently leads to surgery, with the goal of completely removing all malignant tissue. To ensure that no tumor remains in the organ, the resected tissue is subjected to ...