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16 件
並び順
1:00:38EN
Lex Fridman· 2017年12月6日ポッドキャストThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safetyホスト Lex FridmanA Stanford engineer and former DOT innovation chief explains how autonomous racing, voluntary safety guidance, and data sharing could shape safer self-driving cars.セキュリティと安全性Autonomous Driving安全性とガバナンス+3
58:46EN
Lex FridmanポッドキャストCaging the Neural Network: How Aptiv Thinks About Safe Self-Drivingホスト Lex FridmanAptiv Autonomous Mobility's Karl Iagnemma and Oscar Beijbom explain why end-to-end learning is hard to trust in cars, and show how PointPillars and nuScenes push lidar perception forward.モデルと学習Autonomous DrivingDeep Learning+3
10:17EN
Lex FridmanポッドキャストWhy Great Robots Fail as Businesses, and What iRobot Got Rightホスト Lex FridmaniRobot co-founder Colin Angle explains why so many robotics companies collapse and how cost, vision and a clear user need shaped the Roomba.プロダクトと UXCompany BuildingProduct-Market Fit+3
1:07:22EN
Lex FridmanポッドキャストCars That Drive Empty: Emilio Frazzoli on Why Self-Driving Needs Rules, Not Just Dataホスト Lex FridmanThe nuTonomy CTO explains why full autonomy and shared fleets are where the value lies, and why the hardest open problem is deciding how vehicles should behave.Autonomous DrivingRoboticsAI startups & small teams+3
1:13:18EN
Lex FridmanポッドキャストHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and Machineホスト Lex FridmanLecture 2 of MIT's 2018 course on deep learning for self-driving cars covers the two paths to autonomy, how sensors compare, who is building what, and where deep learning can help.Autonomous Driving安全性とガバナンスRobotics+3
1:18:48EN
Lex FridmanポッドキャストData Movement, Not Math: How to Make Deep Learning Fit on Robots and Phonesホスト Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.インフラとデプロイInferenceAI cost & performance+3
1:05:15EN
Lex FridmanポッドキャストTaming the Long Tail: How Waymo Builds a Self-Driving Factoryホスト Lex FridmanWaymo principal scientist Drago Anguelov explains how machine learning infrastructure, hybrid design and smart simulated agents tackle the rare events of autonomous driving.モデルと学習Autonomous DrivingRobotics+3
1:27:15EN
Lex FridmanポッドキャストPolicy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement Learningホスト Lex FridmanOpenAI's John Schulman walks through the core methods of deep RL, from the score function estimator to TRPO and DQN, and says when each one is worth using.モデルと学習Reinforcement Learning機械学習の基礎+3
17:35EN
Lex FridmanポッドキャストHands Off the Wheel in San Diego: A Comma Two Demo Drive and a Tour of comma.ai's Hardware Shopホスト Lex FridmanAfter their podcast conversation, George Hotz takes Lex Fridman on an openpilot drive and then through the comma.ai offices, dashboards, assembly line and compute cluster.プロダクトと UXAutonomous DrivingAI startups & small teams+3
1:13:22EN
Lex FridmanポッドキャストThe Second 90%: What It Really Takes to Put Deep Learning on a Driverless Carホスト Lex FridmanWaymo's Sacha Arnoud walks MIT students through Waymo's history, its perception stack, and the industrial-scale labeling, compute and testing behind it.モデルと学習Autonomous DrivingRobotics+3
18:46EN
Lex FridmanポッドキャストA Brooding Stuffed Hedgehog and Lex Fridman's Case for Owning Lessホスト Lex FridmanIn an AMA, Lex Fridman uses his thrift-store hedgehog to talk about minimalism, anthropomorphism in robotics, and why shared experience binds people together.PhilosophyRobotics
37:18EN
Lex FridmanポッドキャストFrom Intelligent Copilots to Aurora: Sterling Anderson on Shared Control and Building a Self-Driving Companyホスト Lex FridmanA guest lecture in MIT's 6.S094 course tracing Anderson's path from shared human-machine control research, through Tesla Autopilot, to co-founding Aurora.Autonomous DrivingRoboticsHuman-AI Collaboration+2
11:29EN
Lex FridmanポッドキャストWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seenホスト Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.モデルと学習Autonomous DrivingRobotics+3
26:51EN
Lex FridmanポッドキャストA Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really Isホスト Lex FridmanThe former Hanson Robotics chief scientist explains how Sophia works, why she is not AGI, and why he thinks the illusion can still be put to good use.マルチモーダルとメディアAGI(汎用人工知能)Robotics+3
1:02:24EN
Lex FridmanポッドキャストFrom Looping Forklifts to Self-Driving Cities: Sertac Karaman on Motion Planningホスト 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
1:04:39EN
Lex FridmanポッドキャストFrom Udacity's Self-Driving Car Course to a Startup for Retirement Communities: Oliver Cameron on Building Voyageホスト 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.プロダクトと UXAutonomous DrivingAI startups & small teams+3