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43 件
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1:24:24EN
Lenny's PodcastポッドキャストIntelligence for Heavy Machines: Qasar Younis on Why Physical AI Will Change Farms, Mines and Roads Firstホスト Lenny RachitskyThe Applied Intuition co-founder explains why the biggest near-term AI impact is in vehicles and industrial machines, and shares the values, reading habits and management philosophy behind a quiet $15 billion company.企業と戦略Autonomous SystemsRobotics+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
1:39:10EN
Lenny's PodcastポッドキャストAfter the Keyboard: Why Physical AI Is the Next Frontier, According to a Veteran Hardware Leaderホスト Lenny RachitskyCaitlin Kalinowski, who has built products at Apple, Meta and OpenAI, explains why robotics is heating up, what actually gates it, and how to build hardware that ships.企業と戦略RoboticsProduct Strategy+3
1:13:40EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Momentホスト 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
1:19:34EN
Lenny's PodcastポッドキャストFei-Fei Li on ImageNet, World Models and Why Everyone Has a Role in AIホスト Lenny RachitskyThe scientist often called the godmother of AI traces how big data sparked deep learning, explains why spatial intelligence is the next frontier, and shows what World Labs' first product, Marble, can do.モデルと学習World models画像と動画+3
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
1:48:13EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストRobotics Hits Its GPT-3.5 Moment: Inside Gemini Robotics, From Embodied Reasoning to Origamiホスト Nathan LabenzGoogle DeepMind researchers Keerthana Gopalakrishnan and Ted Xiao explain how Gemini Robotics works, what it can and cannot do, and where the field goes next.モデルと学習RoboticsMultimodal AI+2
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