Using time-series data. Anomaly Detector works like most Azure platform services, offering a REST API that accepts JSON-formatted data.A C# SDK makes it easier to build code to work with the ...

4. Fault Detection Model Development using AI. Faults using sensor data can be detected by artificial intelligence techniques such as machine learning and neural networks. These techniques involve the ...

Interested in understanding how AI and machine learning are being used to prevent bot-based fraud attempts, I attended a few recent webinars with Kount's 3 Key Elements Needed For Successful Bot ...

Due to their multi-tenant architecture, these dedicated models are designed to detect and prevent fraud for each customer and industry, specifically tuned and optimized for maximum efficiency.

The associated TIDEP-01027 reference design demonstrates using the device in corner and front long-range radar systems for functions such as blind-spot detection, front cross-traffic assist, and ...

Fetal Heart Defect Detection Improved by Using Machine Learning. By Elizabeth Fernandez. Share on ... MD, trained a group of machine-learning models to mimic the tasks that clinicians follow in ...