筛选结果
166 篇排序
56:47EN → 简体中文
Lex Fridman· 2019年9月8日播客 · 2 人对谈Vijay Kumar 为什么不肯把它们叫作“无人机”嘉宾 Vijay Kumar · 主持 Lex Fridman宾夕法尼亚大学（Penn）机器人学家谈蜂群设计、真正的自主，以及为什么限制天空的仍是电池而不是算法。
1:13:06EN → 简体中文Lex Fridman· 2019年8月19日播客 · 2 人对谈洛克希德·马丁首席技术官谈自主、月球，以及“不出错”的文化嘉宾 Keoki Jackson · 主持 Lex Fridman洛克希德·马丁的 Keoki Jackson 告诉 Lex Fridman：重返月球是容易的部分，证明学习系统在任何情况下仍会做出正确的事，才是真正的难题。
1:59:37EN → 简体中文Lex Fridman· 2019年8月5日播客 · 2 人对谈车道居中，是唯一已经有用的自动驾驶功能嘉宾 George Hotz · 主持 Lex Fridmancomma.ai 创始人 George Hotz 对 Lex Fridman 讲述，为什么保持在车道内胜过 5 级（Level 5）自动驾驶的承诺，以及无人驾驶出租车（robotaxi）技术栈为什么依然没有网络效应（network effect）。
44:48EN → 简体中文Lex Fridman· 2019年7月22日播客 · 2 人对谈Chris Urmson：无人驾驶之路，与能让你打个盹的那条路分道扬镳嘉宾 Chris Urmson · 主持 Lex FridmanLex Fridman 与 Aurora CEO Chris Urmson 聊了 DARPA 挑战赛、为什么激光雷达（lidar）是工具而非拐杖，以及 L2 辅助驾驶的经济账为什么长不成真正的自动驾驶。
1:01:24EN → 简体中文Lex Fridman· 2019年3月12日播客 · 2 人对谈Leslie Kaelbling：先买票，再规划机场嘉宾 Leslie Kaelbling · 主持 Lex FridmanMIT 机器人学家在与 Lex Fridman 的对话中讲述，为什么抽象、信念空间（belief space）里的控制，以及内置偏置，比在符号派和神经网络派之间站队更重要。
55:24EN → 简体中文Lex Fridman· 2019年2月7日播客 · 2 人对谈Kyle Vogt 做出高速公路改装套件，还没卖出一台就砍掉了嘉宾 Kyle Vogt · 主持 Lex FridmanCruise 总裁兼首席技术官 Kyle Vogt 对 Lex Fridman 讲述：这位玩着 BattleBots 长大的堪萨斯少年，为什么放弃了一款能用的产品，转而与通用汽车合作，并在 2019 年把原型一步步推向量产。
42:45EN → 简体中文Lex Fridman· 2018年12月16日播客 · 2 人对谈单腿机器人只凭“这个更好”学会了后空翻嘉宾 Pieter Abbeel · 主持 Lex FridmanPieter Abbeel 对 Lex Fridman 说明，为什么偏好比较、自我对弈、十分钟示范，以及杂乱的模拟器组合，是深度强化学习（RL）的切实路径。
1:00:38ENLex Fridman· 2017年12月6日播客The Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safety主持 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.
24:22ENLex Fridman播客 · 2 人对谈Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Musk嘉宾 Jim Keller · 主持 Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.
54:33ENLex Fridman播客 · 2 人对谈Vision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving Race嘉宾 Self-Driving Cars · 主持 Lex FridmanThe opening lecture of MIT's 6.S094 course surveys 2018's milestones, the industry's optimistic predictions, and the beliefs about driving and humans that will decide who wins.
11:11ENLex Fridman播客 · 2 人对谈Yann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not General嘉宾 Yann Lecun · 主持 Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.
58:46ENLex Fridman播客Caging the Neural Network: How Aptiv Thinks About Safe Self-Driving主持 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.
1:23:18EN
Cognitive Revolution "How AI Changes Everything"播客From GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the Internet主持 Nathan LabenzKeerthana Gopalakrishnan and Ted Xiao walk through RT-2, RT-X, RT-Trajectory, AutoRT, Learning to Learn Faster and PIVOT, and say what is still missing for general-purpose robots.
10:17ENLex Fridman播客Why Great Robots Fail as Businesses, and What iRobot Got Right主持 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.
1:07:22ENLex Fridman播客Cars That Drive Empty: Emilio Frazzoli on Why Self-Driving Needs Rules, Not Just Data主持 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.
1:10:19EN
Unsupervised Learning: With Jacob Effron播客The Robot That Folded the Laundry: Physical Intelligence’s Three Frontiers主持 Jacob EffronKarol Hausman and Danny Driess explain how robot foundation models moved from coded primitives to web-scale pretraining, and why performance is now the hard gate.
1:24:24EN → 简体中文
Lenny's Podcast播客真正会改写农场、矿场和公路的，是装进重型机器里的智能主持 Lenny RachitskyApplied Intuition 联合创始人 Qasar Younis 认为，未来五到十年 AI 最大的冲击会落在车辆和工业机械上，并讲了这家安静做到 150 亿美元估值的公司如何定价值观、读书、做管理。
1:13:18ENLex Fridman播客Human-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and Machine主持 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.
1:18:48ENLex Fridman播客Data Movement, Not Math: How to Make Deep Learning Fit on Robots and Phones主持 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.
1:05:15ENLex Fridman播客Taming the Long Tail: How Waymo Builds a Self-Driving Factory主持 Lex FridmanWaymo principal scientist Drago Anguelov explains how machine learning infrastructure, hybrid design and smart simulated agents tackle the rare events of autonomous driving.
1:27:15ENLex Fridman播客Policy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement Learning主持 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.
17:35ENLex Fridman播客Hands Off the Wheel in San Diego: A Comma Two Demo Drive and a Tour of comma.ai's Hardware Shop主持 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.
1:13:22ENLex Fridman播客The Second 90%: What It Really Takes to Put Deep Learning on a Driverless Car主持 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.
18:46ENLex Fridman播客A Brooding Stuffed Hedgehog and Lex Fridman's Case for Owning Less主持 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.加载更多已显示 24 篇，共 166 篇