Scaling up Spacecraft Operations with AI

This is an online event - register here: https://bit.ly/37gUyB8

Earth counts about 2000 human-made objects in orbit and far more if you count the debris. Nowadays, contracts are signed to send the same amount of satellites in large scale projects called constellations. With collaborative and adversarial objects crossing each other at 7km per second, one has to make sure they are all in good shape of operations. How do you check on 2000 spacecrafts when today's missions require 2 to 10 people per satellite? Ground teams have to scale up and AI might be their best teammate.

On June 18th at 11AM CET, H2O.ai will be sharing the virtual stage with Dr Redouane Boumghar, core contributor at the Libre Space Foundation, for an online meetup where he will give his view and expertise on how AI is being used in spacecraft operations. As part of his talk, he will present the Polaris project, an international team of enthusiasts and space professionals who maintain open source machine learning pipelines to analyze spacecraft telemetry, extract their different behaviors, link them, and learn from the context in order to build transportable knowledge and reasoning.

Dr. Redouane Boumghar, aka Red, worked on many different Artificial Intelligence projects in robotics and perception in the satellite imagery industry. He is a former research fellow in the team for AI in Space Operations at the European Space Agency and currently leads ideation processes for the data intelligence portfolio for the European Central Bank. Red believes in open inter-planetary collaboration where space is claimed the libre way. That's why, as a core contributor of the Libre Space Foundation, he shares and maintains a fully open source machine learning project for future autonomous space operations.