Scaling up Spacecraft Operations with AI | DevsDay.ru

Scaling up Spacecraft Operations with AI

Moscow Artificial Intelligence & Deep Learning

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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 12:00 MSK, 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.


Организатор: Moscow Artificial Intelligence & Deep Learning

We’re excited to bring you the latest happenings in AI, Machine Learning, Deep Learning, Data Science and Big Data.

Who are we? We’re H2O.ai (https://www.h2o.ai/), creators of the world’s leading open-source machine learning platform, used by hundreds of thousands of data scientists and 18,000 organizations around the world.

Our goal is to congregate with data enthusiasts and discuss trending topics in the world of AI. We also regularly invite esteemed industry influencers and thought leaders who talk shop on all things data science.

Sound like a good time?

Interested in H2O or our automatic machine learning platform, H2O Driverless AI? Learn more here: https://www.h2o.ai/download/

Already a rainmaker (H2O power user) or have questions? Please visit our StackOverflow page. (http://stackoverflow.com/questions/tagged/h2o)

If you’d like to speak at future meetups, co-promote your meetup or inquire about sponsorship opportunities, please reach out to [email protected]

Read about our code of conduct here: https://www.h2o.ai/code-of-conduct/

Thank you for advancing the future of data science,

Ian

Follow us on Twitter: @h2oai

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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 12:00 MSK, 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. Организатор: Moscow Artificial Intelligence & Deep Learning We’re excited to bring you the latest happenings in AI, Machine Learning, Deep Learning, Data Science and Big Data. Who are we? We’re H2O.ai (https://www.h2o.ai/), creators of the world’s leading open-source machine learning platform, used by hundreds of thousands of data scientists and 18,000 organizations around the world. Our goal is to congregate with data enthusiasts and discuss trending topics in the world of AI. We also regularly invite esteemed industry influencers and thought leaders who talk shop on all things data science. Sound like a good time? Interested in H2O or our automatic machine learning platform, H2O Driverless AI? Learn more here: https://www.h2o.ai/download/ Already a rainmaker (H2O power user) or have questions? Please visit our StackOverflow page. (http://stackoverflow.com/questions/tagged/h2o) If you’d like to speak at future meetups, co-promote your meetup or inquire about sponsorship opportunities, please reach out to [email protected] Read about our code of conduct here: https://www.h2o.ai/code-of-conduct/ Thank you for advancing the future of data science, Ian Follow us on Twitter: @h2oai
2020-06-18T00:00:00.0000000
2020-06-18T00:00:00.0000000
Scaling up Spacecraft Operations with AI
Moscow Artificial Intelligence & Deep Learning
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Scaling up Spacecraft Operations with AI
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