Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Zone & Co, the leading ERP-native, AI-powered financial operations platform, today announced a strategic partnership with Nixtla to embed TimeGPT, Nixtla's foundation model for time series, directly ...

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

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 ...

Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians ...

The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...

The agency wants to beef up its capabilities as bad actors deploy the technology and ahead of major gatherings this year, ...

Overview: AI-powered DeFi is transforming static blockchain protocols into adaptive financial systems that can assess risk, detect fraud, and adjust operations ...