45:35

Ido Portal: Movement

09:17

Ryan Hall: Value of Competition | Take It Uneasy Podcast

03:22

Ryan Hall: Moral Victory

04:37

Ryan Hall: Best Martial Art for Self Defense | Take It Uneasy Podcast

09:48

Ryan Hall: Principles of Jiu Jitsu | Take It Uneasy Podcast

01:00:13

Jimmy Pedro: Judo | Take It Uneasy Podcast

03:39

Automated Synchronization of Driving Data: Video, Audio, IMU, and Telemetry

02:48

Drive Gaze Region Classification in a Tesla

04:08

Detecting Driver Frustration from Audio and Video (IJCAI 2016)

01:00:51

Foundations of Deep Learning (Hugo Larochelle, Twitter)

01:02:06

TensorFlow Tutorial (Sherry Moore, Google Brain)

01:19:48

Nuts and Bolts of Applying Deep Learning (Andrew Ng)

01:20:59

Sequence to Sequence Deep Learning (Quoc Le, Google)

57:15

Torch Tutorial (Alex Wiltschko, Twitter)

01:03:26

Theano Tutorial (Pascal Lamblin, MILA)

01:27:16

Deep Reinforcement Learning (John Schulman, OpenAI)

01:31:53

Deep Learning for Speech Recognition (Adam Coates, Baidu)

01:29:04

Deep Learning for Natural Language Processing (Richard Socher, Salesforce)

01:24:44

Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)

01:25:17

Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)

01:12:00

Foundations and Challenges of Deep Learning (Yoshua Bengio)

01:31:29

MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars

01:27:30

MIT 6.S094: Deep Reinforcement Learning for Motion Planning

01:19:53

MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

01:15:59

MIT 6.S094: Recurrent Neural Networks for Steering Through Time

34:33

MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles

01:00:38

Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars

01:02:24

Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars

01:28:53

MIT Sloan: Intro to Machine Learning (in 360/VR)

01:02:07

MIT 6.S094: Deep Learning

01:13:19

MIT Self-Driving Cars (2018)

57:55

MIT 6.S094: Deep Reinforcement Learning

53:14

MIT 6.S094: Computer Vision

01:11:50

MIT 6.S094: Deep Learning for Human Sensing

51:19

MIT AGI: Artificial General Intelligence

01:35:09

MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)

52:29

Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)

01:13:22

Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars

01:17:38

Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)

01:55:04

Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)

01:07:22

Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars

37:18

Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars

01:30:52

MIT AGI: Cognitive Architecture (Nate Derbinsky)

02:32

MIT Advanced Vehicle Technology Study (MIT-AVT)

02:41

MIT-AVT: Tesla Model 3

15:43

MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)

55:37

MIT AGI: Autonomous Weapons Systems Policy (Richard Moyes)

01:22:58

Max Tegmark: Life 3.0 | Lex Fridman Podcast #1

01:03

Geoffrey Hinton: What are you excited about in deep learning?

01:00:15

Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)

57:54

Christof Koch: Consciousness | Lex Fridman Podcast #2

03:50

Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman

08:11

Arguing Machines: Tesla Autopilot vs Neural Network

07:40

MIT Human-Centered Autonomous Vehicle

37:54

Steven Pinker: AI in the Age of Reason | Lex Fridman Podcast #3

42:19

Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4

02:43

Playing Guitar in a Self-Driving Car

01:13

Black Belt Speech | Lex Fridman

54:03

Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5

01:26:45

Guido van Rossum: Python | Lex Fridman Podcast #6