絞り込み結果
19 件並び順
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月1日ポッドキャストFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Exploreホスト Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
1:50:08ENCognitive Revolution "How AI Changes Everything"· 2024年8月7日ポッドキャストWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.ホスト Nathan LabenzHuman drivers average one fatal crash per 100 million miles — and that bar still defines the self-driving debate.
1:16:11ENCognitive Revolution "How AI Changes Everything"· 2024年7月11日ポッドキャストScooping Food Into Boxes Is 70 Percent of Plant Laborホスト Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.
1:20:44ENCognitive Revolution "How AI Changes Everything"· 2024年3月30日ポッドキャストSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 Daysホスト Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.
1:40:07ENCognitive Revolution "How AI Changes Everything"· 2023年7月4日ポッドキャストThirty thousand voltage updates a second: inside Skydio’s autonomy stackホスト Nathan LabenzHayk Martiros walks Nathan Labenz through a two-pound drone that sees in every direction, runs more than ten neural nets on board, and will not be weaponized.
2:45:10EN
Lex Fridman· 2022年1月22日ポッドキャスト · 2 人A Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.ゲスト Yann Lecun · ホスト Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.
2:30:30ENLex Fridman· 2021年7月31日ポッドキャスト · 2 人The Fallacy of the Successful First Stepゲスト Ishan Misra · ホスト Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.
1:41:37ENLex Fridman· 2020年7月21日ポッドキャスト · 2 人The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solvedゲスト Jitendra Malik · ホスト Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.
1:22:51ENLex Fridman· 2020年5月19日ポッドキャスト · 2 人Density, Not Demos: Sertac Karaman on Robots That Fly and Driveゲスト Sertac Karaman · ホスト Lex FridmanThe MIT roboticist and Optimus Ride co-founder on why sharing space with people is harder than building the machine, and why flying at transportation scale is still the tougher problem.
56:47ENLex Fridman· 2019年9月8日ポッドキャスト · 2 人Why Vijay Kumar Refuses to Call Them Dronesゲスト Vijay Kumar · ホスト Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.
1:09:11ENLex Fridman· 2019年6月10日ポッドキャスト · 2 人Don't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in Chargeゲスト Gavin Miller · ホスト Lex FridmanAdobe Research's head tells Lex Fridman why smart defaults, fixable errors, and intern-scale bets matter more than a fully automatic Photoshop.
32:45ENLex Fridman· 2019年4月12日ポッドキャスト · 2 人Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminateゲスト Elon Musk · ホスト Lex FridmanAfter MIT published a study of functional vigilance on Autopilot, Lex Fridman sat down with Musk to argue about cameras on drivers, fleet data, and whether humans still belong in the loop.
1:25:16ENLex FridmanポッドキャストFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional Networksホスト 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.
54:33ENLex Fridmanポッドキャスト · 2 人Vision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving Raceゲスト Self-Driving Cars · ホスト 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.
1:11:50ENLex FridmanポッドキャストData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the Wheelホスト 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.
1:19:52ENLex FridmanポッドキャストFrom Pixels to Steering Wheels: Convolutional Networks and End-to-End Drivingホスト 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.
1:13:22ENLex 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.
15:43ENLex Fridmanポッドキャスト · 2 人Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Studyゲスト MIT-AVT · ホスト Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
53:13ENLex FridmanポッドキャストHow Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene Segmentationホスト 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.