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NASA Frontier Development Lab 2017

FDL brings together teams of experts in the physical sciences and specialists in data science and machine learning for an intense 8-week concentrated study on topics important to NASA – and to humanity’s future. The 8-week format encourages rapid iteration and prototyping to create outputs with meaningful application, papers and conference posters. The participants are masters, doctorate, or post-doc researchers in: Planetary Science, Heliophysics, Astronomy, Planetary Geology, Remote Sensing, or Data Science, Software Engineering, or Advanced Statistics. Problem areas this year are: Planetary Defense: Near-Earth Object 3D shape modeling or Comet detection; Space Weather: Coronal Mass Ejections (CMEs) or Solar-Terrestrial Interactions; Space Resources: Lunar Water or Asteroid Prospecting. Participants are hosted at NASA Ames Research Center and the SETI Institute. All participants are paid and provided accommodation and transport in Silicon Valley.
When 26 June 2017 06:25 AM to
18 August 2017 06:25 AM
Where Moffett Field CA USA
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Algorithms in use by Astro-Machine Learning bridge community:

  • Principal Component Analysis
  • Neural Network
  • Convolutional Neural Network
  • Decision Tree
  • Support Vector Machines
  • k-Nearest Neighbours
  • Kernel Density Estimation
  • Expectation-Maximization Algorithm
  • Kohonen Self-Organizing Map
  • Independent Component Analysis

More information about this event…