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 ...

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 ...

Now that Erin has dissipated, we can make such a determination, and in the biggest test of the Atlantic season to date, ...

WM-2’s new forecasting records can be attributed to both WindBorne’s novel pipeline of atmospheric data, as well as to the company’s proprietary AI modeling innovations PALO ALTO, Calif.--(BUSINESS ...

We first construct a new generalized Hausman test for detecting the structural change in a multiplicative form of covariance matrix time series model. This generalized Hausman test is asymptotically ...

Machine Learning-based weather models have the potential to revolutionise global seasonal forecasting, according to new Met ...