Chaînes mises à jour récemment

Choisissez-en une pour ne voir qu’elleToutes les chaînes →

Résultats

18 articles
Trier
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 1 juil. 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreAnime : Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.Entreprise et stratégieFine-tuningAgent orchestration+3
1:50:08EN
Cognitive Revolution "How AI Changes Everything"· 7 août 2024PodcastWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.Anime : Nathan LabenzHuman drivers average one fatal crash per 100 million miles — and that bar still defines the self-driving debate.AgentsAutonomous DrivingSécurité et gouvernance+3
1:16:11EN
Cognitive Revolution "How AI Changes Everything"· 11 juil. 2024PodcastScooping Food Into Boxes Is 70 Percent of Plant LaborAnime : Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.RoboticsData quality & curationLocal inference+3
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· 30 mars 2024PodcastSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 DaysAnime : Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.Modèles et entraînementAI researchTransformers & attention+3
1:40:07EN
Cognitive Revolution "How AI Changes Everything"· 4 juil. 2023PodcastThirty thousand voltage updates a second: inside Skydio’s autonomy stackAnime : 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.AgentsRoboticsAutonomous Systems+3
2:45:10EN
Lex Fridman· 22 janv. 2022Podcast · 2 voixA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Invité : Yann Lecun · Anime : 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.Modèles et entraînementWorld modelsComputer Vision+3
2:30:30EN
Lex Fridman· 31 juil. 2021Podcast · 2 voixThe Fallacy of the Successful First StepInvité : Ishan Misra · Anime : 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.Modèles et entraînementComputer VisionMultimodal AI+3
1:41:37EN
Lex Fridman· 21 juil. 2020Podcast · 2 voixThe Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't SolvedInvité : Jitendra Malik · Anime : 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.Modèles et entraînementVision et vidéoAutonomous Driving+3
1:22:51EN
Lex Fridman· 19 mai 2020Podcast · 2 voixDensity, Not Demos: Sertac Karaman on Robots That Fly and DriveInvité : Sertac Karaman · Anime : 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.RoboticsAutonomous DrivingAutonomous Systems+3
56:47EN
Lex Fridman· 8 sept. 2019Podcast · 2 voixWhy Vijay Kumar Refuses to Call Them DronesInvité : Vijay Kumar · Anime : Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.RoboticsAutonomous SystemsMulti-agent systems+3
1:09:11EN
Lex Fridman· 10 juin 2019Podcast · 2 voixDon't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in ChargeInvité : Gavin Miller · Anime : Lex FridmanAdobe Research's head tells Lex Fridman why smart defaults, fixable errors, and intern-scale bets matter more than a fully automatic Photoshop.Produit et UXGenerative mediaHuman-AI Collaboration+3
32:45EN
Lex Fridman· 12 avr. 2019Podcast · 2 voixElon Musk: Every Driver Input Is an Error Tesla Autopilot Must EliminateInvité : Elon Musk · Anime : 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.SécuritéAutonomous DrivingValidation avec humain dans la boucle+3
1:25:16EN
Lex FridmanPodcastFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional NetworksAnime : 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.Modèles et entraînementDeep LearningComputer Vision+3
54:33EN
Lex FridmanPodcast · 2 voixVision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving RaceInvité : Self-Driving Cars · Anime : 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.Autonomous DrivingDeep LearningComputer Vision+3
1:11:50EN
Lex FridmanPodcastData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelAnime : 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.Multimodal et médiasDeep LearningVision et vidéo+3
1:19:52EN
Lex FridmanPodcastFrom Pixels to Steering Wheels: Convolutional Networks and End-to-End DrivingAnime : 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.Modèles et entraînementAutonomous DrivingDeep Learning+3
1:13:22EN
Lex FridmanPodcastThe Second 90%: What It Really Takes to Put Deep Learning on a Driverless CarAnime : 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.Modèles et entraînementAutonomous DrivingRobotics+3
53:13EN
Lex FridmanPodcastHow Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene SegmentationAnime : 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.Modèles et entraînementComputer VisionDeep Learning+3