Natalya Bailey: Rocket Engines and Electric Spacecraft Propulsion | Lex Fridman Podcast #157

Lex Fridman · Beginner ·🚀 Entrepreneurship & Startups ·5y ago
Natalya Bailey is a rocket propulsion engineer from MIT and now CTO of Accion Systems. Please support this podcast by checking out our sponsors: - Munk Pack: https://munkpack.com and use code LEX to get 20% off - Four Sigmatic: https://foursigmatic.com/lex and use code LexPod to get up to 60% off - Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium - Sun Basket: https://sunbasket.com/lex and use code LEX to get $35 off EPISODE LINKS: Natalya's Twitter: https://twitter.com/natalya926 Accion Systems: https://accion-systems.com/ PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 1:46 - Intelligent life in the universe 5:47 - Life in our solar system 7:52 - Humans on Mars 11:26 - Robots vs human in space exploration 12:20 - AI in space 16:25 - How rocket engines work 21:42 - How ion engines work 26:05 - How colloid engines work 35:03 - Material science 37:52 - Nuclear powered rocket engines 42:51 - Electric propulsion out in space 46:18 - Satellites 51:12 - Photo of Earth from the Moon 52:50 - Humans on Mars 55:12 - Propulsion without fuel 1:03:07 - How to build a rocket company 1:10:05 - SpaceX and commercial spaceflight 1:14:38 - Advice to startup founders 1:21:13 - Book recommendations 1:29:31 - Meaning of life CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/LexFridmanPage - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Lex Fridman · Lex Fridman · 0 of 60

← Previous Next →
1 Ido Portal: Movement
Ido Portal: Movement
Lex Fridman
 2 Ryan Hall: Moral Victory
Ryan Hall: Moral Victory
Lex Fridman
 3 Jimmy Pedro: Judo | Take It Uneasy Podcast
Jimmy Pedro: Judo | Take It Uneasy Podcast
Lex Fridman
 4 Foundations of Deep Learning (Hugo Larochelle, Twitter)
Foundations of Deep Learning (Hugo Larochelle, Twitter)
Lex Fridman
 5 TensorFlow Tutorial (Sherry Moore, Google Brain)
TensorFlow Tutorial (Sherry Moore, Google Brain)
Lex Fridman
 6 Nuts and Bolts of Applying Deep Learning (Andrew Ng)
Nuts and Bolts of Applying Deep Learning (Andrew Ng)
Lex Fridman
 7 Sequence to Sequence Deep Learning (Quoc Le, Google)
Sequence to Sequence Deep Learning (Quoc Le, Google)
Lex Fridman
 8 Torch Tutorial (Alex Wiltschko, Twitter)
Torch Tutorial (Alex Wiltschko, Twitter)
Lex Fridman
 9 Theano Tutorial (Pascal Lamblin, MILA)
Theano Tutorial (Pascal Lamblin, MILA)
Lex Fridman
 10 Deep Reinforcement Learning (John Schulman, OpenAI)
Deep Reinforcement Learning (John Schulman, OpenAI)
Lex Fridman
 11 Deep Learning for Speech Recognition (Adam Coates, Baidu)
Deep Learning for Speech Recognition (Adam Coates, Baidu)
Lex Fridman
 12 Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
Lex Fridman
 13 Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
Lex Fridman
 14 Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
Lex Fridman
 15 Foundations and Challenges of Deep Learning (Yoshua Bengio)
Foundations and Challenges of Deep Learning (Yoshua Bengio)
Lex Fridman
 16 MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
Lex Fridman
 17 MIT 6.S094: Deep Reinforcement Learning for Motion Planning
MIT 6.S094: Deep Reinforcement Learning for Motion Planning
Lex Fridman
 18 MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
Lex Fridman
 19 MIT 6.S094: Recurrent Neural Networks for Steering Through Time
MIT 6.S094: Recurrent Neural Networks for Steering Through Time
Lex Fridman
 20 MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
Lex Fridman
 21 Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars
Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars
Lex Fridman
 22 Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars
Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars
Lex Fridman
 23 MIT Sloan: Intro to Machine Learning (in 360/VR)
MIT Sloan: Intro to Machine Learning (in 360/VR)
Lex Fridman
 24 MIT 6.S094: Deep Learning
MIT 6.S094: Deep Learning
Lex Fridman
 25 MIT Self-Driving Cars (2018)
MIT Self-Driving Cars (2018)
Lex Fridman
 26 MIT 6.S094: Deep Reinforcement Learning
MIT 6.S094: Deep Reinforcement Learning
Lex Fridman
 27 MIT 6.S094: Computer Vision
MIT 6.S094: Computer Vision
Lex Fridman
 28 MIT 6.S094: Deep Learning for Human Sensing
MIT 6.S094: Deep Learning for Human Sensing
Lex Fridman
 29 MIT AGI: Artificial General Intelligence
MIT AGI: Artificial General Intelligence
Lex Fridman
 30 MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
Lex Fridman
 31 Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)
Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)
Lex Fridman
 32 Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
Lex Fridman
 33 Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)
Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)
Lex Fridman
 34 Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)
Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)
Lex Fridman
 35 Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars
Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars
Lex Fridman
 36 Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
Lex Fridman
 37 MIT AGI: Cognitive Architecture (Nate Derbinsky)
MIT AGI: Cognitive Architecture (Nate Derbinsky)
Lex Fridman
 38 MIT Advanced Vehicle Technology Study (MIT-AVT)
MIT Advanced Vehicle Technology Study (MIT-AVT)
Lex Fridman
 39 MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)
MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)
Lex Fridman
 40 Geoffrey Hinton: What are you excited about in deep learning?
Geoffrey Hinton: What are you excited about in deep learning?
Lex Fridman
 41 Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
Lex Fridman
 42 Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman
Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman
Lex Fridman
 43 Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4
Lex Fridman
 44 Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7
Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7
Lex Fridman
 45 Eric Schmidt: Google | Lex Fridman Podcast #8
Eric Schmidt: Google | Lex Fridman Podcast #8
Lex Fridman
 46 Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
Lex Fridman
 47 Deep Learning Basics: Introduction and Overview
Deep Learning Basics: Introduction and Overview
Lex Fridman
 48 Deep Learning State of the Art (2019)
Deep Learning State of the Art (2019)
Lex Fridman
 49 MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
Lex Fridman
 50 Self-Driving Cars: State of the Art (2019)
Self-Driving Cars: State of the Art (2019)
Lex Fridman
 51 Drago Anguelov (Waymo) - MIT Self-Driving Cars
Drago Anguelov (Waymo) - MIT Self-Driving Cars
Lex Fridman
 52 Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
Lex Fridman
 53 Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars
Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars
Lex Fridman
 54 Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
Lex Fridman
 55 Greg Brockman: OpenAI and AGI | Lex Fridman Podcast #17
Greg Brockman: OpenAI and AGI | Lex Fridman Podcast #17
Lex Fridman
 56 Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
Lex Fridman
 57 MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
Lex Fridman
 58 Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
Lex Fridman
 59 Rajat Monga: TensorFlow | Lex Fridman Podcast #22
Rajat Monga: TensorFlow | Lex Fridman Podcast #22
Lex Fridman
 60 Gavin Miller: Adobe Research | Lex Fridman Podcast #23
Gavin Miller: Adobe Research | Lex Fridman Podcast #23
Lex Fridman

Related AI Lessons

⚡
Equity World vs Upwork
Learn how to shift your influence and value creation into an equity-driven distribution system, moving away from freelance platforms like Upwork
Medium · Startup
 ⚡
Your Startup Equity Is Worth Less Than They Told You
Understand the true value of your startup equity by considering factors like vesting, valuation, and potential payout, and don't rely solely on the 'on paper' value presented to you.
Medium · Startup
 ⚡
Founder Failures: What I Learned Losing $50k
Learn from a founder's mistakes and $50k loss to improve your entrepreneurial skills and avoid common pitfalls
Dev.to · Sol Koren
 ⚡
How SpaceX preempted a $2B fundraise with a $60B buyout offer
Learn how SpaceX strategically acquired a company with a $60B buyout offer, preempting a $2B fundraise, and understand the implications for business strategy and entrepreneurship
TechCrunch AI

Chapters (21)

Introduction
1:46 Intelligent life in the universe
5:47 Life in our solar system
7:52 Humans on Mars
11:26 Robots vs human in space exploration
12:20 AI in space
16:25 How rocket engines work
21:42 How ion engines work
26:05 How colloid engines work
35:03 Material science
37:52 Nuclear powered rocket engines
42:51 Electric propulsion out in space
46:18 Satellites
51:12 Photo of Earth from the Moon
52:50 Humans on Mars
55:12 Propulsion without fuel
1:03:07 How to build a rocket company
1:10:05 SpaceX and commercial spaceflight
1:14:38 Advice to startup founders
1:21:13 Book recommendations
1:29:31 Meaning of life
Up next
Is Money Secretly Leaving Software for Physical Products? 👀 #shorts
Jacky Chou from Indexsy
Watch →