Google Research·· 2026-09-01
TimesFM-3: A zero-shot foundation model for multivariate forecasting
TimesFM-3: A zero-shot foundation model for multivariate forecasting
AI summary
Google Research released TimesFM-3, its first time-series foundation model pretrained natively for multivariate forecasting, with 330 million parameters and over 1 trillion pretraining time points.
Selection record
Threshold 60Official, first-handFirst 58Second 55
Not admittedSum of both 113 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：介绍TimesFM-3时序基础模型及架构评测
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Google Research · research.google