The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

Lacework added an automated time-series modeling to its existing anomaly detection capabilities and enhanced its alert system for better threat detection and investigation at scale. Polygraph then ...

Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming Anomaly detection covers a large number of data analytics use cases.

This article introduces neural networks, including brief descriptions of feed-forward neural networks and recurrent neural networks, and describes how to build a recurrent neural network that detects ...

CUPERTINO, Calif.--(BUSINESS WIRE)--Falkonry today announced an automated anomaly detection application called Falkonry Insight which operates on high-speed sensor time series data. Insight is the ...

FutureMain Co., Ltd., a specialized industrial AI company focused on equipment diagnostics and predictive maintenance, ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

Civilian UAVs rely on unencrypted civilian GPS signals, making them easy prey for spoofers who broadcast slightly stronger fake satellite signals. Once the drone locks onto the counterfeit ...