Time-series foundation model
PulseAugur coverage of Time-series foundation model — every cluster mentioning Time-series foundation model across labs, papers, and developer communities, ranked by signal.
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Anlu method enhances time series anomaly detection with counterfactual supervision
Researchers have developed Anlu, a novel method for in-context time series anomaly detection (TSAD) that leverages counterfactual supervision. This approach addresses the challenge of anomaly detection where the definit…
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IBM and Confluent partner to bring AI time-series models to real-time data streams
IBM has partnered with Confluent to integrate its Time Series Foundation Models (TSFM) into Confluent's real-time data streaming platform. This collaboration aims to enable businesses to leverage AI for forecasting, ano…
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New EncoTESS model efficiently analyzes stellar light curves for age prediction
Researchers have developed EncoTESS, a novel Time Series Foundation Model (TSFM) designed to analyze raw TESS light curve data from stars. This model is significantly smaller than typical TSFMs, making it accessible for…
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APEX model advances wireless network forecasting and anomaly detection
Researchers have developed APEX, a new network-native transformer model designed for time-series forecasting and anomaly detection in wireless network operations. Unlike generic models, APEX is specifically pre-trained …
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TSFM Embeddings Improve Industrial Equipment RUL Prediction
Researchers have developed a novel method for predicting the Remaining Useful Life (RUL) of industrial equipment by leveraging pre-trained time-series foundation models (TSFMs). This approach uses Chronos-2 as a frozen …