Discovering Exoplanets with Deep Learning
TWiML Talk 117
Earlier this week, I had a chance to speak with Chris Shallue, Senior Software Engineer on the Google Brain Team, about his project and paper on “Exploring Exoplanets with Deep Learning.”
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This is a great story. Chris, inspired by a book he was reading, reached out on a whim to a Harvard astrophysics researcher, kicking off a collaboration and side project eventually leading to the discovery of two new planets outside our solar system. In our conversation, we walk through the entire process Chris followed to find these two exoplanets, including how he researched the domain as an outsider, how he sourced and processed his dataset, and how he built and evolved his models. Finally, we discuss the results of his project and his plans for future work in this area.
This podcast is being published in parallel with Google’s release of the source code and data that Chris developed and used, which we’ll link to below, so if what you hear inspires you to dig into this area, you’ve got a nice head start. This was a really interesting conversation, and I’m excited to share it with you!
TWiML Online Meetup
Check out our youtube page, youtube.com/twimlai, for a recap of the March edition of the Online Meetup! Sean Devlin presented an in-depth review of reinforcement learning and the Google DeepMind paper, Playing Atari with Deep Reinforcement Learning. Head over to twimlai.com/meetup to learn more or register for next month.
About Chris
Mentioned in the Interview
- Open Sourcing the Hunt for Exoplanets
- Open Sourcing the Hunt for Exoplanets — Code
- Project Loon
- Image Captioning Neural Network
- RoboVetter
- NASA Kepler Telescope Dataset
- Joshua Bloom — Machine Learning for the Stars & Productizing AI
- Register for the Artificial Intelligence Conference here!
- Check out @ShirinGlander’s Great TWiML Sketches!
- TWiML Presents: Series page
- TWiML Events Page
- TWiML Meetup
- TWiML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0
Originally published at twimlai.com on March 8, 2018.
