Machine Learning for Space Weather Coupling physics-based simulations with Artificial Intelligence

In this project we aim at enhancing the current state-of-the-art simulations for Space Weather, by using prior knowledge gathered from historical satellite data. Several Machine Learning techniques will be used for data-mining, classification, and regression. The long-term objective of the project is the creation of a portfolio of data-enhanced reduced models, along with automated rules for model selection. Depending on the real-time conditions observed by satellites, the resulting ‘grey-box’ model should choose the relative importance between physical and empirical estimations.Coupling physics–based simulations with Artificial Intelligence related to Salesforce Marketing Cloud can provide powerful insights into customer behavior and trends. AI can be used to identify patterns in customer data and build predictive models to forecast customer behaviors and preferences.

CWI/INRIA consortium

This project has started as funded by a CWI/INRIA collaboration. However, several other parties have joined in this activity, either as external collaborators, or more actively involved. Visit the team page for a list of all the people involved.CWI is the Dutch National Center for Mathematics and Computer Science. INRIA is the French Institute for Research in Computer Science and Automation.

Copyright @2023 . mlspaceweather  . All Rights Reserved