The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

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 ...

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...

According to IBM, attention is not all you need when forecasting certain outcomes with generative AI. You also need time. Earlier this year, IBM made its open-source TinyTimeMixer (TTM) model ...

We introduce the performance-based Shapley value (PBSV) to measure the contributions of individual predictors to the out-of-sample loss for time-series forecasting models. Our new metric allows a ...

ARTIFICIAL INTELLIGENCE TECHNOLOGY CONTINUES TO GROW IN LEAPS AND BOUNDS, AND DEVELOPERS AT DEEPMIND, WHICH IS A COMPANY THAT’S OWNED BY GOOGLE, SAY THEY’VE DEVELOPED AN AI WEATHER FORECAST MODEL THAT ...

BOULDER, Colo. – OpenSnow, a trusted source for the most accurate U.S. weather forecasts, snow reports, and AI-powered weather maps, is launching first-of-their-kind new tools this winter that ...

The National Oceanic and Atmospheric Administration has introduced a new suite of weather forecasting models that are driven by Artificial Intelligence and are expected to deliver faster and more ...

After a merciful lack of hurricanes in the U.S. and an unusually quiet Gulf of Mexico, the 2025 Atlantic hurricane season wasn’t too memorable in Louisiana. But the season will be remembered for ...