筛选结果
28 篇排序
1:50:08EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2024年8月7日播客Waymo 的受伤率低了五倍，却仍输给一辆 Lyft主持 Nathan Labenz人类司机平均每 1 亿英里才发生一起致命事故，这道门槛至今仍是自动驾驶争论的标尺。
3:04:52EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2024年5月1日播客医生在九个维度中有八个更青睐 AI：一位 GPT-4 红队测试者的侦察报告主持 Nathan LabenzNathan Labenz 在 80,000 Hours 播客上讲述 2023 年末的系统已经能做什么、哪些门槛仍然重要，以及两极化的政策之争为何反而成了强硬监管的礼物。
1:36:39EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2023年11月9日播客OpenAI 的 500 万美元押注：60 人团队想让 GPT-4V 赋予汽车常识主持 Nathan LabenzGhost Autonomy 联合创始人 John Hayes 在 Cognitive Revolution 节目里说，把多模态模型放进驾驶路径，可能会让自动驾驶在二十年的 DARPA 时代技术栈之后重新起步。
1:00:38EN
Lex 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.
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.
1:15:59ENLex Fridman播客Steering Through Time: How Recurrent Networks and LSTMs Learn from Sequences主持 Lex FridmanLex Fridman's MIT 6.S094 lecture walks from backpropagation basics to LSTMs and the way they are used to predict steering in self-driving cars.
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.
1:24:24EN → 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.
1:11:50ENLex Fridman播客Data Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the Wheel主持 Lex FridmanIn an MIT lecture, Lex Fridman shows how deep learning can sense pedestrians, driver posture, gaze, emotion and cognitive load, and why that matters for human-centered autonomy.
42:16EN → 简体中文Lenny's Podcast播客无人驾驶行程背后的产品纪律：Waymo 怎样把信任做成可设计的行为主持 Lenny RachitskyWaymo 产品管理高级总监 Shweta Shrivastava 解释自动驾驶产品如何赢得乘客信任、衡量安全，并撑住长期投入。
1:19:52ENLex Fridman播客From Pixels to Steering Wheels: Convolutional Networks and End-to-End Driving主持 Lex FridmanLex Fridman's MIT 6.S094 lecture explains how convolutional neural networks work, where deep learning helps a self-driving car, and how to train a network to steer from video.
1:27:30ENLex Fridman播客From NAND Gates to Self-Driving Traffic: Deep Reinforcement Learning in One Lecture主持 Lex FridmanLex Fridman's second MIT 6.S094 lecture walks from the humble perceptron to deep Q-learning and the browser-based DeepTraffic competition.
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.
1:21:57EN → 简体中文Lenny's Podcast播客Uber 产品负责人自己开车送餐：亲测、快发，以及数据说不时仍要出手主持 Lenny RachitskyUber 首席产品官 Sachin Kansal 讲极端亲测、压缩交付周期、人车混跑的自动驾驶，以及几次跟数据对着干的下注。
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.
37:18ENLex Fridman播客From Intelligent Copilots to Aurora: Sterling Anderson on Shared Control and Building a Self-Driving Company主持 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.
1:13:40EN
Unsupervised Learning: With Jacob Effron播客The Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Moment主持 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.
53:13ENLex Fridman播客How Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene Segmentation主持 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.
34:33ENLex Fridman播客Teaching Cars to Watch the Driver: Deep Learning for Semi-Autonomous Vehicles主持 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.
17:32ENLex Fridman播客Over-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming Memes主持 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.
11:29ENLex Fridman播客Why Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen主持 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.
1:31:29ENLex Fridman播客Is Driving More Like Chess or Conversation? Lex Fridman's Opening Lecture on Deep Learning for Self-Driving Cars主持 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.加载更多已显示 24 篇，共 28 篇