TimesFM-2.5
PulseAugur coverage of TimesFM-2.5 — every cluster mentioning TimesFM-2.5 across labs, papers, and developer communities, ranked by signal.
- 2026-08-22 product_launch Google released TimesFM-2.5, a time-series forecasting foundation model. source
- 2026-08-02 product_launch Google released a tutorial for its TimesFM 2.5 time-series forecasting model. source
- 2026-07-11 product_launch Google Research released TimesFM 2.5, an open-source foundation model for time-series forecasting. source
2 day(s) with sentiment data
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Time-series AI models show potential for inference acceleration via block skipping
Researchers have investigated the computational efficiency of time-series foundation models, specifically Chronos-Bolt and TimesFM 2.5. Their study explored whether entire Transformer blocks could be removed during infe…
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New research tackles in-context learning for time-series AI models
Researchers are exploring methods to improve the in-context learning capabilities of time-series foundation models (TSFMs). A new paper investigates how models like Chronos-2, TimesFM-2.5, and TabPFN-TS handle counterfa…
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Google AI releases TimesFM-3 for multivariate time series forecasting
Google AI has unveiled TimesFM-3, a 330 million parameter foundation model designed for multivariate time series forecasting. Unlike its predecessors, which were limited to univariate predictions, TimesFM-3 can jointly …
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New framework identifies biases in time series foundation models
A new research paper proposes a causal analysis framework to identify biases and failure modes in time series foundation models before deployment. The study applied this framework to Chronos-2 and TimesFM-2.5, revealing…
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Google releases TimesFM-2.5 for time-series forecasting
Google has released TimesFM-2.5, a time-series forecasting foundation model with 200 million parameters. This model aims to provide a strong starting point for demand forecasting tasks, eliminating the need to train mod…
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Google releases tutorial for TimesFM 2.5 time-series forecasting model
Google has released a comprehensive tutorial for its TimesFM 2.5 time-series forecasting model. The tutorial covers various aspects of the model, including zero-shot prediction, backtesting, covariate integration, and a…
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TimesFM 2.5 enhances time-series forecasting with new features
TimesFM 2.5, a time-series forecasting model, has been updated to include advanced features for end-to-end workflow development. The new version supports backtesting, covariate integration, anomaly detection, and scalab…
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Google Research releases TimesFM 2.5 for zero-shot time-series forecasting
Google Research has released TimesFM 2.5, an open-source foundation model for time-series forecasting. This model, with 200 million parameters and a context window of up to 16,384 points, can predict future trends witho…
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Darts library unifies foundation models for zero-shot time series forecasting
A new collection of foundation models for time series forecasting has been developed within the Darts Python library. This initiative aims to unify the interfaces of various pre-trained models, including Chronos-2, Time…