Artificial Intelligence #time-series#forecasting
FlowState: New Time-Series Model Handles Any Sampling Rate Without Retraining
IBM Research has developed FlowState, a novel time-series foundation model (TSFM) that is sampling-rate-equivariant, meaning it can handle data sampled at different rates without retraining. The model uses a state space encoder and a functional basis decoder to achieve continuous-time modeling, and it outperforms larger models on the GIFT-Eval benchmark while being one of the smallest TSFMs.
Jun 16, 2026 1 source