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NASA Frontier Development Lab (FDL) is dedicated to leveraging applied artificial intelligence research for space discovery and the benefit of humankind. FDL is a public / private partnership between the NASA’s Ames Research Center, the SETI Institute and leaders in commercial AI such as Intel AI, Google Cloud, IBM, KX and Nvidia - and private space, such as Lockheed Martin, KBRWyle, Space Resources Luxembourg and XPRIZE.

You can visit the NASA FDL website here: http://www.frontierdevelopmentlab.org/

You can see an overview of past NASA FDL challenges and results here: https://en.calameo.com/read/0055032804c2759a5c960?authid=wb8VPRbf3ugF

We just concluded an eight-week acceleration program hosted at the SETI Institute targeting seven different challenges. These challenges span the fields of Space Resources, Exoplanets, Space Weather, and Astrobiology.

You can see the announcement of these challenges on the SETI website here: https://www.seti.org/press-release/nasa-fdl-leverages-public-private-partnership-push-new-boundaries-space-science-artificial

Through these challenges we’ve been seeking the answer to questions such as:

Can we use AI to...

  • Discover new planets outside our solar system?
  • Tell us if exoplanets might be habitable?
  • Help us recognize extraterrestrial life if we find it?
  • Help moon rovers navigate without GPS?
  • Enable multiple rovers to work together?
  • Fix a broken solar observatory?
  • Predict the behavior of the Sun?

Now that we’ve presented our results at Intel AI in Santa Clara, Silicon Valley, it’s your turn to ask us questions.

Participating in the AMA will be:

Timothy Seabrook - Artificial Intelligence Mentor

Timothy is a doctoral candidate in CDT Autonomous Machines and Systems at Oxford University.

https://www.cs.ox.ac.uk/people/timothy.seabrook/

Molly D. O'Beirne - Planetary Scientist

Molly is a graduate research assistant and PhD candidate at the University of Pittsburgh Department of Geology and Planetary Science.

https://www.researchgate.net/profile/Molly_Obeirne

http://www.mdobeirne.com/

Richard Galvez - Heliophysics Scientist

Richard is a Moore-Sloan Data Science Fellow at the Courant Institute of Mathematical Sciences and Center for Cosmology and Particle Physics at New York University.

twitter.com/richardgalvez

Megan Ansdell - Planetary Scientist

Megan is currently a Postdoctoral Fellow at the University of California, Berkeley with the Center for integrative Planetary Sciences.

https://astro.berkeley.edu/researcher-profile/3629984-megan-ansdell

Find our "proof" here: r/https://twitter.com/nasa_fdl/status/1030411034081808384

27
29 comments

Of the seven challenges, what was the biggest breakthrough and why?

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Original Poster1 point · 1 month ago

Each of the seven challenges presented its own unique set of difficulties, with all teams making major contributions in each of their respective fields. With that said, Space Weather 2 received the 2018 FDL Contribution to Science Award, and being that I am part of that team, can expand a bit on our result.

The Space Weather 2 team was tasked with the challenge of creating a virtual version of an instrument that failed aboard NASA’s Solar Dynamics Observatory satellite. The instrument in question is the Extreme Ultraviolet Variability Experiment (EVE) module, meant to observe the extreme ultraviolet electromagnetic (EUV) spectrum coming from the Sun.

Having accurate and high-cadence measurements of the Sun’s EUV irradiance is a mission-critical issue for all space applications, since the EUV is the main driver of atmospheric disturbances, having paramount impact on the GPS, launch, aviation, and communications industry. Unfortunately, In 2014 the EVE instrument suffered a short circuit causing NASA to no longer have observations of this crucial EUV spectrum.

Beyond EVE, NASA’s Solar Dynamics Observatory also has onboard a high resolution imager, the Atmospheric Imaging Assembly (AIA), taking images of the sun every 12 seconds in 12 separate channels. Space Weather 2’s idea was to recast the problem of a lacking EVE as a computer vision problem, transforming the imagery from AIA into EUV spectra.

The idea worked successfully and now we have a replacement virtual instrument to inform us about the EUV spectra. Beyond this, the algorithm architecture worked well enough to be able to predict the EUV spectra 72 hours in the future to unprecedented precision well beyond existing methods. Because of this AI based solution, we were able to save NASA the trouble of having to launch a replacement instrument.

For more info on the instrumentation aboard NASA’s Solar Dynamics Observatory, see https://sdo.gsfc.nasa.gov/mission/instruments.php. P.s. the AIA imagery is pretty amazing, should check it out! https://www.youtube.com/watch?v=Y3-YJKb9E-s

sdo.gsfc.nasa.gov

SDO | Solar Dynamics Observatory

SDO is designed to help us understand the Sun's influence on Earth and Near-Earth space by studying the solar atmosphere on small scales of space and time and in many wavelengths simultaneously.

(from Richard Galvez)

What kinds of algorithms are you using to search for exoplanets? Is the goal to define interesting sub-spaces for closer search? How does it work? Tell me all the things!

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Original Poster2 points · 1 month ago

What kinds of algorithms are you using to search for exoplanets? Is the goal to define interesting sub-spaces for closer search? How does it work? Tell me all the things!

We are using deep convolutional neural nets to classify candidate exoplanet transits found in the light curves from the Kepler and TESS space missions. The goal is the rapidly classify these candidate exoplanet transits as true planets or "false positive" signals, so that scientists can follow up the likely exoplanets with ground-based telescopes, which is key to understanding their compositions and habitability. One of the most valuable parts of FDL is that it combines the scientists with the ML experts, so we could incorporate our "domain knowledge" into the architecture of the neural nets.

(from: Megan Ansdell)

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3

This is not the live discussion. Please join us here: r/https://www.reddit.com/r/IAmA/comments/983l5s/hey_reddit_we_are_four_researchers_from_a_team/

NASA Frontier Development Lab (FDL) is dedicated to leveraging applied artificial intelligence research for space discovery and the benefit of humankind. FDL is a public / private partnership between the NASA’s Ames Research Center, the SETI Institute and leaders in commercial AI such as Intel AI, Google Cloud, IBM, KX and Nvidia - and private space, such as Lockheed Martin, KBRWyle, Space Resources Luxembourg and XPRIZE.

You can visit the NASA FDL website here: http://www.frontierdevelopmentlab.org/

You can see an overview of past NASA FDL challenges and results here: https://en.calameo.com/read/0055032804c2759a5c960?authid=wb8VPRbf3ugF

We just concluded an eight-week acceleration program hosted at the SETI Institute targeting seven different challenges. These challenges span the fields of Space Resources, Exoplanets, Space Weather, and Astrobiology.

You can see the announcement of these challenges on the SETI website here: https://www.seti.org/press-release/nasa-fdl-leverages-public-private-partnership-push-new-boundaries-space-science-artificial

Through these challenges we’ve been seeking the answer to questions such as:

Can we use AI to...

  • Discover new planets outside our solar system?
  • Tell us if exoplanets might be habitable?
  • Help us recognize extraterrestrial life if we find it?
  • Help moon rovers navigate without GPS?
  • Enable multiple rovers to work together?
  • Fix a broken solar observatory?
  • Predict the behavior of the Sun?

Now that we’ve presented our results at Intel AI in Santa Clara, Silicon Valley, it’s your turn to ask us questions.

Participating in the AMA will be:

Timothy Seabrook - Artificial Intelligence Mentor

Timothy is a doctoral candidate in CDT Autonomous Machines and Systems at Oxford University.

twitter.com/richardgalvez

Molly D. O'Beirne - Planetary Scientist

Molly is a graduate research assistant and PhD candidate at the University of Pittsburgh Department of Geology and Planetary Science.

https://www.researchgate.net/profile/Molly_Obeirne

http://www.mdobeirne.com/

Richard Galvez - Heliophysics Scientist

Richard is a Moore-Sloan Data Science Fellow at the Courant Institute of Mathematical Sciences and Center for Cosmology and Particle Physics at New York University.

https://richardagalvez.github.io/about/

Megan Ansdell - Planetary Scientist

Megan is currently a Postdoctoral Fellow at the University of California, Berkeley with the Center for integrative Planetary Sciences.

https://astro.berkeley.edu/researcher-profile/3629984-megan-ansdell

Find our "proof" here: r/https://twitter.com/nasa_fdl/status/1030411034081808384

This is not the live discussion. Please join us here: r/https://www.reddit.com/r/IAmA/comments/983l5s/hey_reddit_we_are_four_researchers_from_a_team/

3
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Hey all!!

I haven't been around much because I got selected for Chief Petty Officer!!

We had the Force Master Chief run through the National Mall in DC today, and we have the rest of the night off! Gonna try and find a stream of the game and be here with you guys.

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please post a link if you find one

I'm partial to the 90's Browns jerseys...

Kevin Mack Bernie Kosar Eric Metcalf Clay Matthews Webster Slaughter Brian Brennam

u/markisnotmyrealname
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