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Machine Learning for the Mars Rover with Annie Didier - ML 029
About this Episode
Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. She explains each algorithm and how they go together to make the decisions that the Rover makes. Panel
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- Charles Max Wood
- Annie Didier
- MAARS - Machine Learning-based Analytics for Automated Rover Systems (Final Presentation)
- SCOTI: Science Captioning of Terrain Images for data prioritization and local image search
- MAARS: Machine learning-based Analytics for Automated Rover Systems
- SULU: Scalable and Distributed Machine Learning Framework with Unified Encoder for Mars Rover Missions
- AI4Mars - Zooniverse
- LinkedIn: Annie Didier
- Annie- When Breath Becomes Air
- Charles- The Martian
- Charles- Back Market
- Charles- monday.com
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
Hosts & Guests
No transcript available for this episode.
