Transformer for Time Series Forecasting

IBM Granite 3.2 uses conditional reasoning, time series forecasting and document vision to ...

In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...

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 ...

San Francisco Fed

The Anatomy of Out-of-Sample Forecasting Accuracy

We introduce the performance-based Shapley value (PBSV) to measure the contributions of individual predictors to the out-of-sample loss for time-series forecasting models. Our new metric allows a ...

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IBM Granite 3.2 uses conditional reasoning, time series forecasting and document vision to ...

5 ways companies can use time-series forecasting

The Anatomy of Out-of-Sample Forecasting Accuracy

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