Machine Learning’s ‘Amazing’ Ability to Predict Chaos | Quanta Magazine

Why is weather unpredictable? The natural world is governed by thousands of factors, and their relationships are intrinsically chaotic, making them hard to model and so to predict – at least for humans. In most systems the number of variables is so massive that even identifying them is impossible – think about the flickering of the flames of a large bonfire, or how topography affects weather formations. Researchers at the University of Maryland have proven that they can train a machine learning model on the existing time-series data, and the model was able to predict future states approximately 8 times further to the future than a human.
In new computer experiments, artificial-intelligence algorithms can tell the future of chaotic systems.