Google AI has unveiled TimesFM-3, a new foundation model designed for multivariate time series forecasting. Unlike its predecessors, which were limited to univariate predictions, TimesFM-3 can simultaneously forecast multiple related time series and incorporate both historical and known future external factors. The model, featuring 330 million parameters, was trained on over a trillion time points and utilizes a novel architecture with causal temporal attention and full variate attention to capture complex inter-series dependencies, generating forecasts in a single forward pass. AI
IMPACT Enhances forecasting capabilities by enabling simultaneous prediction of multiple related time series and integration of future external data.
RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Read on Google AI / Research →
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
