AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

Grey forecasting models represent a class of mathematical techniques designed to generate predictions from limited and often uncertain data. Rooted in grey system theory, these models emphasise the ...

The deal brings ResiShares’ forecasting models and analytics tools into ATTOM’s national data platform, which covers most U.S ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

The field of economic models and forecasting encompasses the development and application of theoretical, empirical and computational frameworks to predict future economic outcomes. These models range ...

Much like the invigorating passage of a strong cold front, major changes are afoot in the weather forecasting community. And the end game is nothing short of revolutionary: an entirely new way to ...

Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for smaller organizations with limited resources. Over the last year, we’ve seen ...

In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...

Machine learning models are taking over in the field of weather forecasting, from a quick “how long will this rain last” to a 10-day outlook, all the way out to century-level predictions. The ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

Oct. 31 (UPI) --In the wake of the destructive Hurricane Otis, we find ourselves at a pivotal moment in the history of weather forecasting. The hurricane roared ashore with 165-mph winds and ...

The National Oceanic and Atmospheric Administration (Noaa) is launching three new AI-driven global weather prediction models designed to significantly advance forecast speed, efficiency and accuracy.