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Morning Edition · Saturday, July 4, 2026

Google Research Ships TabFM, a Zero-Shot Foundation Model for Tables

Trained entirely on synthetic data, TabFM predicts on unseen tables in a single forward pass and reportedly beats gradient-boosted trees on dozens of datasets.

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Google Research Ships TabFM, a Zero-Shot Foundation Model for Tables

Google Research published TabFM, a foundation model for classification and regression on tabular data that makes predictions on a brand-new table in a single forward pass with no dataset-specific training. As noted in AI channels, it foreca…

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Part of a tracked trend

Foundation Models Expand Beyond Text and Images

The foundation-model paradigm keeps spreading into data types it had not conquered, tables, time series, structured records, steadily displacing task-specific classical methods across enterprise workloads.

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