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📢 Calling all space enthusiasts and machine learning aficionados! We are thrilled to unveil the ML4Space! 🚀 Are you passionate about space science and exploration? Do you want to delve into the cutting-edge world of machine learning and its applications in this exciting field? Look no further – this is the event you’ve been waiting for!
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📢 Our latest work, AI for Space Traffic Management, authored by Chiara Manfletti, Cláudia Soares and myself, has been published in the Journal of Space Safety Engineering 🚀 Check out the paper here
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
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Presenter of a session to discuss the problem of space debris and how AI can be leveraged to mitigate it.
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Podcast guest in a session focusing on how AI can be used in spacecraft collision avoidance.
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Panellist in a session focusing on the different careers and opportunities available in the space sector.
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Panellist in a discussion focusing on the role of women in space.
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Presenter of a session focusing on how AI has the potential to quickly analyse data and provide satellite operators with recommendations and manoeuvring suggestions to avoid collisions and save costs.
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Moderator of a panel of experts to explore the impact of AI in various scientific domains such as Space, Physics, Healthcare and Biology.
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Moderator of a panel of experts, “Future of ML For Space: Challenges, Needs and Expectations”, to discuss the role of ML in the future of the space sector.
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Presenter of a session focusing on the future of the space sector and the role of AI in space traffic management.