Google Releases TimesFM-3: A Zero-Shot Foundation Model for Multivariate Forecasting

TimesFM-3: A zero-shot foundation model for multivariate forecasting

Google Research released TimesFM-3, a zero-shot foundation model for multivariate time-series forecasting. It predicts multiple related sequences—like temperature, humidity, and wind speed—without fine-tuning. The post doesn't disclose specific parameters, training data size, or benchmark comparisons. The key selling point is zero-shot multivariate capability, which saves practitioners in supply chain, energy, or finance from training separate models per scenario.