How Artificial Intelligence could predict catastrophic events

After the huge earthquake that occured in Turkey it is highly important to predict catastrophic events. Here are all details.

After the huge earthquake that happened in Turkey the idea of preventing earthquakes before came to the agenda again. Researchers from Brown and MIT have developed methods to anticipate severe events without the requirement for big data sets.

Computational modeling faces an almost insurmountable challenge when it comes to disaster prediction brought on by catastrophic events, but this situation can change.

How Artificial Intelligence could predict catastrophic events

disaster ai

In an article published in Nature Computational Science, the researchers detail how they combined a potent machine learning method created at Brown University with statistical algorithms that require less data for reliable predictions. Due to the combination, they were able to forecast uncommon occurrence scenarios, probabilities, and even timescales in the absence of prior data.

As a result, the research team discovered that this new framework can offer a way to avoid the requirement for enormous amounts of data that are typically required for these kinds of computations, effectively reducing the enormous challenge of predicting rare events to a question of quality over quantity.

Professor of Applied Mathematics and Engineering George Karniadakis stated, "You have to understand that these are stochastic phenomena.