Radically Curious
Today we are chatting with Chris Mattmann, deputy chief technology officer at NASA JPL, responsible for AI division and everything data science when it comes to space exploration and missions beyond our blue planet.
He is a professor of computer science and a major contributor to open source software, serves as a Director at the Apache Foundation and actively contributing to multiple software projects including Hadoop and Tika, Solr and Lucene.
Don’t forget to like, subscribe and comment on the most interest parts of the conversation. Thank you and enjoy!
Chris Mattmann on the web:
https://twitter.com/chrismattmann
https://www.linkedin.com/in/chrismattmann/
Summary:
01:10 – Introduction to Chris and his work at NASA JPL
02:45 – Bridging science, business, academia and governments
03:48 – Mars missions, rovers and preventing contamination of space with coronavirus
05:40 – Being risk-averse, limitations and radiation hardened chips, running deep learning locally in space
08:29 – Constraints of deep space when it comes to machine learning and radio communications
11:08 – $2.4 billion project and 7 minutes of terror
12:20 – Cost of error and balance between risk and benefit, end-to-end formulation of JPL
15:00 – NASA’s Team X and the challenges of rapid design of solutions for space missions
16:45 – Building data science solutions without data, solving for unique situations that were never observed before
18:35 – Inability to explain deep learning versus classical explainable models
19:45 – Neural networks are not the holy grail
20:00 – Explainable Artificial Intelligence initiative, WestWorld debug mode and lack of mainstream focus on explainability
22:30 – Lack of progress within causal inference, feature engineering and understanding the difference between dogs and cats
24:15 – Capturing and collecting data is expensive, the challenge of domain adaptation
27:45 – Cult of AGI (Artificial General Intelligence), GPT-3 hype, saving humanity from SkyNet
30:10 – Rise against the machines and the fallacy of retraining blue collar professionals to code
32:00 – AI hype, the fears of Elon Musk, closed-source AI solutions, fake news
37:35 – Data ethics and influencers behind the news, clickbait and funding driven hype
39:00 – Importance of curiosity and passion
#ArtificialIntelligence #GPT3 #deeplearning #datascience #XAI #openai