Canada

It plans to launch a hybrid model this spring that uses both AI and traditional forecasting and says the combination of the two will lead to more accurate predictions.

Scientists for years have been using "AI" neural network models for approximating differential equations and parts of complex models. The transformer architecture is just the next step in that, which allows us to scale up training and get more capabilities out of neural nets.

As an example, Google just released TimesFM, which is an AI model for timeseries which is pretty cool