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1:13:40EN
Unsupervised Learning: With Jacob EffronPodcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentHost Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.Autonomous DrivingRoboticsMultimodal AI+3
53:13EN
Lex FridmanPodcastHow Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene SegmentationHost Lex FridmanLex Fridman's MIT 6.S094 lecture walks from the basics of image classification through landmark network architectures to pixel-level segmentation, optical flow and the SegFuse competition.Models & trainingComputer VisionDeep Learning+3
34:33EN
Lex FridmanPodcastTeaching Cars to Watch the Driver: Deep Learning for Semi-Autonomous VehiclesHost Lex FridmanLex Fridman's MIT 6.S094 lecture on using driver-facing cameras and neural networks to understand body pose, gaze, emotion and cognitive load.Models & trainingAutonomous DrivingVision & video+3
17:32EN
Lex FridmanPodcastOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming MemesHost Lex FridmanLex Fridman and George Hotz rate printed programming memes, and the jokes turn into candid talk about testing, hiring, social media and the power of neural networks.Software engineeringDeveloper workflows & testingWorkflow automation+3
11:29EN
Lex FridmanPodcastWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenHost Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.Models & trainingAutonomous DrivingRobotics+3
1:31:29EN
Lex FridmanPodcastIs Driving More Like Chess or Conversation? Lex Fridman's Opening Lecture on Deep Learning for Self-Driving CarsHost Lex FridmanThe first lecture of MIT 6.S094 introduces neural networks, reinforcement learning and computer vision through the question of how hard driving really is.Models & trainingDeep LearningAutonomous Driving+3
1:02:24EN
Lex FridmanPodcastFrom Looping Forklifts to Self-Driving Cities: Sertac Karaman on Motion PlanningHost Lex FridmanAn MIT professor traces motion planning from the DARPA Urban Challenge to the future of transportation and the cities built around cars.Autonomous DrivingRoboticsAI research+2
1:27:41EN
Lex FridmanPodcastDeep Learning in 2020: Lex Fridman's Tour of Transformers, Self-Play, Self-Driving and What Comes NextHost Lex FridmanAn MIT lecture surveys the biggest advances of 2017 to 2019 across language, reinforcement learning, deep learning theory and autonomous vehicles, and lists Fridman's hopes for the year ahead.Models & trainingDeep LearningAI research+3
1:04:39EN
Lex FridmanPodcastFrom Udacity's Self-Driving Car Course to a Startup for Retirement Communities: Oliver Cameron on Building VoyageHost Lex FridmanVoyage CEO Oliver Cameron tells the unconventional story of how a self-driving curriculum became a car, then a company that deploys in retirement communities, and what he learned along the way.Product & UXAutonomous DrivingAI startups & small teams+3
1:02:06EN
Lex FridmanPodcastDeep Learning for Self-Driving Cars: Why Edge Cases and Human Nature Are the Real ProblemHost Lex FridmanLex Fridman opens MIT's 6.S094 with a tour of what deep learning is, how it works, what it has achieved and where it still breaks, framed around autonomous vehicles.Models & trainingAutonomous DrivingDeep Learning+3