Abstract Details
(2020) Science Autonomy and the ExoMars Mission: Machine Learning to Help Find Life on Mars
Da-Poian V, Lyness E, Brinckerhoff W, Danell R, Li X & Trainer M
https://doi.org/10.46427/gold2020.522
The author has not provided any additional details.
06d: Room 2, Thursday 25th June 05:36 - 05:39
Victoria Da-Poian
Eric Lyness
William Brinckerhoff View abstracts at 5 conferences in series
Ryan Danell View abstracts at 4 conferences in series
Xiang Li View all 2 abstracts at Goldschmidt2020
Melissa Trainer View abstracts at 3 conferences in series
Eric Lyness
William Brinckerhoff View abstracts at 5 conferences in series
Ryan Danell View abstracts at 4 conferences in series
Xiang Li View all 2 abstracts at Goldschmidt2020
Melissa Trainer View abstracts at 3 conferences in series
Listed below are questions that have been submitted by the community that the author will try and cover in their presentation. To submit a question, ensure you are signed in to the website. Authors or session conveners approve questions before they are displayed here.
Submitted by Charles Magee on Monday 22nd June 13:14
Dear Dr Da-Poian, How does the machine learning deal with the planetary science situation where the results are weirder than anything people had anticipated?
Dear Dr Da-Poian, How does the machine learning deal with the planetary science situation where the results are weirder than anything people had anticipated?
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