Google Research released TimesFM-3, a 330-million-parameter forecasting model that analyzes time series data alongside related information and known future events such as sales promotions or weather f…
A developer released an MCP server for Google's TimesFM-3 time-series forecasting model, enabling tools like Claude Desktop and Cursor to call the model. The wrapper exposes forecast and quantile outp…
Google Research has released TimesFM-3, a 330-million-parameter foundation model for multivariate time-series forecasting that can reason across multiple related series and external signals zero-shot,…
A developer reports that Google's TimesFM-3 time-series forecasting model (timesfm-3-1400m) produces erroneous forecasts when the prediction horizon is set to 512 steps, due to a hardcoded sinusoidal …
Google Research released TimesFM-3, a 330 million parameter time series foundation model that performs zero-shot multivariate forecasting in a single forward pass, accepting multiple targets and covar…
Google Research introduced TimesFM-3, a 330-million-parameter time series foundation model that performs multivariate forecasting in a single forward pass, pre-trained on over 1 trillion time points. …