Nixtla Raises $16 Million Series A To Advance Time Series Intelligence and Agentic Forecasting

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

Anomaly Detection for Time Series Data with Deep Learning

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 ...
Science Daily

MIT researchers use large language models to flag problems in complex systems

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 ...
Business Wire

Falkonry Unveils GPU-Based, High-Speed Time Series Anomaly Detection Application

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 Bolsters Global Industrial AI Competitiveness with NPU-Based Time-Series AI Project

FutureMain Co., Ltd., a specialized industrial AI company focused on equipment diagnostics and predictive maintenance, announced that it is playing a pivotal role in a next-generation intelligent semi ...
InfoWorld

5 ways companies can use time-series forecasting

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...