最近更新的频道

点选即可只看该频道浏览全部频道 →

筛选结果

113 篇
排序
26:02EN
Lex Fridman· 2020年2月9日播客Moore’s Law Is Not Dead—It Is a Cascade of S-Curves主持 Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.基础设施与部署SemiconductorsScaling Laws+3
1:13:51EN
Lex Fridman· 2020年1月19日播客Answering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI Stack主持 Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.安全Privacy & data governanceOpen-source ecosystems+3
46:25EN
Lex Fridman· 2019年1月17日播客Deep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Through主持 Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.模型与训练Deep LearningAI research+3
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.安全Autonomous Driving安全与治理+3
1:29:03EN
Lex Fridman· 2016年9月27日播客From Word Vectors to Memory Networks: The Building Blocks of Deep NLP主持 Lex FridmanRichard Socher explains how word embeddings, recurrent models, GRUs, pointer mixtures, and dynamic memory networks turn language tasks into trainable end-to-end systems.模型与训练Deep Learning机器学习基础+2
1:00:51EN
Lex Fridman播客Deep Learning From the Ground Up: Hugo Larochelle's One-Hour Tour of Neural Network Foundations主持 Lex FridmanA fast, equation-level walk through feed-forward networks, backpropagation, practical training tricks, dropout and batch normalization, from the 2016 Deep Learning School.模型与训练Deep Learning机器学习基础+1
1:07:29EN
Lex Fridman播客Deep Reinforcement Learning from First Principles: Rewards, Q-Learning, Policy Gradients and AlphaZero主持 Lex FridmanLex Fridman's MIT 6.S091 opening lecture walks from the basic RL framework through DQN, actor-critic methods and AlphaZero to the unsolved problem of moving from simulation to the real world.模型与训练Reinforcement LearningDeep Learning+3
9:59EN
Lex Fridman播客Is Language or Vision Harder? Ilya Sutskever on the Unity of Machine Learning主持 Lex FridmanIn a short clip from his 2020 conversation with Lex Fridman, Ilya Sutskever explains why vision, language and reinforcement learning share the same few principles, and why asking which problem is harder is the wrong question.模型与训练机器学习基础Deep Learning+3
19:24EN
Lex Fridman播客Lex Fridman's 30-Day Challenge: 20,000 Push-ups and Pull-ups, With Advice From David Goggins主持 Lex FridmanLex Fridman explains how a tweet became a month-long physical and mental test, and what David Goggins told him about suffering, injuries and habit.
21:41EN
Lex Fridman播客From Simulated Majorities to "You Are Probably Simulated": Bostrom on the Missing Step in the Simulation Argument主持 Lex FridmanNick Bostrom explains to Lex Fridman why the simulation argument rests on a much weaker assumption than the Doomsday argument, and where its physical limits might lie.Simulation HypothesisPhilosophyExistential Risk
13:55EN
Lex Fridman播客Resistance Is the Ego's Voice: Steven Pressfield on Fear, the Self and the Next Idea主持 Lex FridmanSteven Pressfield explains where the force he calls Resistance comes from and why the real fight happens at the most mundane level.PhilosophyCreativityPsychology
54:58EN
Lex Fridman播客Eric Weinstein on Geometric Unity: One Canvas, Fourteen Dimensions and a Theory of Everything主持 Lex FridmanEric Weinstein talks with Lex Fridman about releasing his Oxford lecture, why academia resists his ideas, and how Geometric Unity tries to derive matter from the geometry of spacetime.Philosophy of ScienceMathematicsScience Communication
1:25:16EN
Lex Fridman播客From Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional Networks主持 Lex FridmanA 2016 Deep Learning School talk covering how convnets work, how the ImageNet winners evolved, and how to apply them without being a hero.模型与训练Deep LearningComputer Vision+3
25:06EN
Lex Fridman播客Living Inside the Brain's Story: Joscha Bach on Simulation, Self and Consciousness主持 Lex FridmanIn a clip from his conversation with Lex Fridman, Joscha Bach argues that consciousness, identity and even God are software-like patterns, and that we exist inside a narrative our brain generates.PhilosophyPhilosophy of MindConsciousness & Intelligence+3
11:51EN
Lex Fridman播客Building a Brain: Paola Arlotta on the Choreography of Human Brain Development主持 Lex FridmanA Harvard stem cell biologist walks through how the embryo builds the cerebral cortex, why order and environment matter, and why development continues into our twenties.Neuroscience & AIComputational BiologyNeuroscience+1
1:24:43EN
Lex Fridman播客From Sparse Coding to GANs: A Tour of Unsupervised Deep Learning in 2016主持 Lex FridmanRuslan Salakhutdinov walks through autoencoders, Boltzmann machines, variational autoencoders and adversarial networks at the Deep Learning School, with candid notes on what did and did not work.模型与训练Deep Learning机器学习基础
58:46EN
Lex 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.模型与训练Autonomous DrivingDeep Learning+3
14:49EN
Lex Fridman播客Elon Musk Rates Memes and Ends Up Defending Nuclear Power, the British Museum and the Cheeseburger主持 Lex FridmanIn a lighthearted excerpt from his conversation with Lex Fridman, Elon Musk scores a stack of printed memes on a one-to-eleven scale and gives serious answers whenever a joke touches a real topic.Science CommunicationHistory
1:15:59EN
Lex 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.模型与训练Deep Learning机器学习基础+2
23:37EN
Lex Fridman播客Pave Your Own Path: Lex Fridman on Impostor Syndrome, Envy and Gratitude主持 Lex FridmanIn an Ask Me Anything episode, Lex Fridman answers listeners' questions about self-doubt by arguing against comparison, for finding your own passion, and for pairing self-criticism with gratitude.Career GrowthPhilosophyPersonal Growth
29:54EN
Lex Fridman播客Seven Levels of a Pandemic: Pain, Challenge and Hope From Biology to Philosophy主持 Lex FridmanLex Fridman maps the coronavirus onto seven levels of attack on society and proposes a response and a reason for hope at each one.Public HealthExistential RiskPhilosophy+2
10:17EN
Lex 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.产品与体验Company BuildingProduct-Market Fit+3
18:46EN
Lex Fridman播客Deep Learning Plus One Idea: Ilya Sutskever on Building AGI主持 Lex FridmanIn a May 2020 conversation, Sutskever discusses self-play, simulation, bodies and consciousness, tests of intelligence, and how an AGI might be governed and aligned.模型与训练通用人工智能Reinforcement Learning+3
22:59EN
Lex Fridman播客Penrose on Why Consciousness Can't Be a Computation主持 Lex FridmanRoger Penrose explains how a dissatisfaction with AI optimism, a tip about microtubules and a rethink of quantum mechanics led him to Orch OR.Philosophy of MindConsciousness & IntelligenceAI research+3
加载更多已显示 24 篇,共 113 篇