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News
Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting
1+ week, 5+ day ago (332+ words) MarkTechPost Google Research has released TimesFM-3, a 330 million parameter time series foundation model that forecasts multiple related series in a single forward pass. Every TimesFM checkpoint through 2.5 was univariate: one series, its own history, nothing else. TimesFM-3 is pretrained natively…...
Forecasting Model Retraining Needs Before Performance Drops
2+ week, 3+ day ago (1275+ words) “” is published by Nooral.ai - Data & AI Company....
MetaCaster: Meta-Learning Agents Train Lightweight Forecasters in Minutes Instead of Hours
2+ week, 4+ day ago (426+ words) This is not another AutoML wrapper. The meta-agent orchestrates data generation, architecture selection, and training loops to produce task-specific forecasters in minutes. The result is a deployable model that runs inference without touching the foundation layer again. Time-series forecasting in…...
7 Challenges of AI Demand Forecasting in 2026
3+ week, 3+ day ago (1386+ words) Every forecast inherits the flaws of the data beneath it. Product hierarchies change without warning. Promotions go untagged. Stockouts get logged as zero sales instead of lost demand. An AI model trained on that history learns the noise along with…...
Scientists Identify a Surprising 129-Day Limit for Predicting the Weather
3+ week, 4+ day ago (352+ words) A new study suggests the atmosphere may retain enough information for weather to remain theoretically predictable for roughly 129 days under ideal conditions. How far into the future could weather ever be predicted, even if forecasters knew the atmosphere perfectly? Meteorologists…...