Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135

Lex Fridman · Beginner ·📐 ML Fundamentals ·5y ago
Charles Isbell is the Dean of the College of Computing at Georgia Tech. Please support this podcast by checking out our sponsors: - Neuro: https://www.getneuro.com and use code LEX to get 15% off - Decoding Digital: https://appdirect.com/decoding-digital - MasterClass: https://masterclass.com/lex to get 15% off annual sub - Cash App: https://cash.app/ and use code LexPodcast to get $10 EPISODE LINKS: Charles's Twitter: https://twitter.com/isbellHFh Charles's Website: https://www.cc.gatech.edu/~isbell/ 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 2:36 - Top 3 movies of all time 8:45 - People are easily predictable 14:27 - Breaking out of our bubbles 26:13 - Interactive AI 32:45 - Lifelong machine learning 41:12 - Faculty hiring 48:47 - University rankings 56:15 - Science communicators 1:05:39 - Hip hop 1:14:39 - Funk 1:16:03 - Computing 1:31:55 - Race 1:47:59 - Cop story 1:56:20 - Racial tensions 2:05:42 - MLK vs Malcolm X 2:09:03 - Will human civilization destroy itself? 2:13:34 - Fear of death and the passing of time 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

⚡
ML Compilers Aren’t All the Same — Here’s Why
ML compilers like PyTorch, TensorRT, and CoreML have different architectures and design choices, impacting their performance and compatibility across hardware and workloads.
Medium · Programming
 ⚡
ML Compilers Aren’t All the Same — Here’s Why
Learn why ML compilers differ in architecture and design, and how these differences impact model deployment and performance
Medium · Deep Learning
 ⚡
ML Compilers Aren’t All the Same — Here’s Why
Learn why ML compilers differ in architecture and design, and how these differences impact model deployment and performance
Medium · LLM
 ⚡
How Machines Draw the Line: A Beginner’s Guide to Regression
Learn the basics of regression in machine learning and how it's used to make predictions, with examples and explanations for beginners
Medium · Machine Learning

Chapters (18)

Introduction
2:36 Top 3 movies of all time
8:45 People are easily predictable
14:27 Breaking out of our bubbles
26:13 Interactive AI
32:45 Lifelong machine learning
41:12 Faculty hiring
48:47 University rankings
56:15 Science communicators
1:05:39 Hip hop
1:14:39 Funk
1:16:03 Computing
1:31:55 Race
1:47:59 Cop story
1:56:20 Racial tensions
2:05:42 MLK vs Malcolm X
2:09:03 Will human civilization destroy itself?
2:13:34 Fear of death and the passing of time
Up next
Aléatoire : une introduction aux probabilités - Partie 1
Coursera
Watch →