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 ...

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 ...

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 ...

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 Washington Institute for STEM, Entrepreneurship and Research (WISER) and the Fraunhofer Institute for Industrial Mathematics ITWM have successfully completed a joint research project as part of ...

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