streaming-data

IBM and Confluent have partnered to offer time series foundation models for real-time intelligence on streaming data, now available in early access on Confluent Cloud.

A walkthrough for building a continuous robotic data loop using Strands Robots, LeRobot, and Hugging Face Storage Buckets, enabling recording, training, and deployment from a single pipeline.

This paper presents an online framework for modeling streaming time series as dynamic mixtures of time-delay systems, addressing regime shifts and memory constraints via a summary system tensor and tensor decomposition.

This paper investigates disagreement-based drift detection in ensembles of incremental decision trees, finding that while effective in neural networks, the method underperforms loss-based detectors for tree ensembles due to limited model plasticity.