Chris shares some of the incredible work and innovations behind deep space exploration at NASA JPL and reflects on the past, present, and future of machine learning.

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Chris Mattman is the Chief Technology and Innovation Officer at NASA Jet Propulsion Laboratory, where he focuses on organizational innovation through technology. He's worked on space missions such as the Orbiting Carbon Observatory 2 and Soil Moisture Active Passive satellites.

Chris is also a co-creator of Apache Tika, a content detection and analysis framework that was one of the key technologies used to uncover the Panama Papers, and is the author of "Machine Learning with TensorFlow, Second Edition" and "Tika in Action".

Connect with Chris:
Twitter: https://twitter.com/chrismattmann
Personal website: https://www.mattmann.ai/

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Timestamps:
0:00 Sneak peek, intro
0:52 On Perseverance and Ingenuity
8:40 Machine learning applications at NASA JPL
11:51 Innovation in scientific instruments and data formats
18:26 Data processing levels: Level 1 vs Level 2 vs Level 3
22:20 Competitive data processing
27:38 Kerbal Space Program
30:19 The ideas behind "Machine Learning with Tensorflow, Second Edition"
35:37 The future of MLOps and AutoML
38:51 Machine learning at the edge

Transcription:
http://wandb.me/chris-mattmann-podcast

Links Discussed:
Perseverance and Ingenuity: https://mars.nasa.gov/mars2020/
Data processing levels at NASA: https://earthdata.nasa.gov/collaborate/open-data-services-and-software/data-information-policy/data-levels
OCO-2: https://www.jpl.nasa.gov/missions/orbiting-carbon-observatory-2-oco-2
"Machine Learning with TensorFlow, Second Edition" (2020): https://www.manning.com/books/machine-learning-with-tensorflow-second-edition
"Tika in Action" (2011): https://www.manning.com/books/tika-in-action

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