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131 件
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2:36:21EN
Lex Fridman· 2022年9月21日ポッドキャスト · 2 人A Smile Is Not Happiness: Rana el Kaliouby on Emotion AI and the Empathy Crisisゲスト Rana el Kaliouby · ホスト Lex FridmanThe Affectiva founder and Smart Eye deputy CEO talks with Lex Fridman about teaching machines to read faces, sensing drivers inside the cabin, and why she is proudest of the people her company grew.マルチモーダルとメディアMultimodal AI画像と動画+3
2:30:30EN
Lex 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.モデルと学習Computer VisionMultimodal AI+3
1:00:11EN
Lex Fridman· 2019年6月17日ポッドキャスト · 2 人Rosalind Picard: Clippy Never Saw You Frown, and That's the Whole Problemゲスト Rosalind Picard · ホスト Lex FridmanThe MIT professor who named affective computing on emotion recognition, privacy, seizure-detecting wearables, and why a device you can take off is safer than a camera you cannot see.マルチモーダルとメディア安全性とガバナンスPrivacy & data governance+3
1:23:18EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストFrom GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the Internetホスト 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.モデルと学習RoboticsMultimodal AI+3
53:02EN
Unsupervised Learning: With Jacob EffronポッドキャストAdobe's Firefly Bet: A Billion Beta Images, Creative Control, and Trust at Scaleホスト Jacob EffronAdobe's Alexandre explains how Firefly moved from research to product, how Adobe balances creative control with generative speed, and why trust and feedback loops are central to its AI strategy.プロダクトと UXGenerative mediaProduct Strategy+3
1:53:14EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストWorth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute Capホスト Nathan LabenzZvi Mowshowitz and Nathan Labenz survey OpenAI's launch spree, AI pricing and bundling, data pollution, deepfakes, the reversal curse, calls to cap training compute, and Amazon's Anthropic deal.企業と戦略AI StrategyProduct Strategy+3
1:03:24EN
Unsupervised Learning: With Jacob EffronポッドキャストWhy Sora Bet on People, Not Just Pixelsホスト Jacob EffronThe Sora team explains how a video model became a social creation network, what cameos revealed about human creativity, and why the next frontier is world simulation.マルチモーダルとメディアGenerative media画像と動画+3
1:31:52EN
Lex FridmanポッドキャストFrom Phonemes to CTC: How Deep Learning Rebuilt Speech Recognitionホスト Lex FridmanBaidu's Adam Coates walks through the traditional speech pipeline, the CTC-based end-to-end engine that replaced much of it, and what it takes to scale and deploy it.モデルと学習Deep LearningMultimodal AI+2
1:45:55EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストFrom Static Structures to Moving Molecules: Where AI for Protein Design Stands After AlphaFold 3ホスト Nathan LabenzComputational biochemist Amelie Schreiber walks Nathan Labenz through six months of progress in structure prediction, molecular dynamics, peptide and antibody models, and early agent-driven design workflows.Computational BiologyAI for scienceMultimodal AI+1
1:02:57EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストVirtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the Clinicホスト Nathan LabenzTanishq Mathew Abraham explains how deep learning turns label-free 3D tissue images into virtual H&E stains fast enough to guide tumor surgery.マルチモーダルとメディアAI in healthcareMultimodal AI+1
23:54EN
No Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIホスト Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.モデルと学習ファインチューニング検索拡張生成(RAG)+3
45:46EN
Unsupervised Learning: With Jacob EffronポッドキャストGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interfaceホスト Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.マルチモーダルとメディア音声 AIMultimodal AI+3
15:43EN
Lex 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.Autonomous DrivingインフラとデプロイMultimodal AI+2
1:13:40EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Momentホスト 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.Autonomous DrivingRoboticsMultimodal AI+3
11:29EN
Lex FridmanポッドキャストWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seenホスト Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.モデルと学習Autonomous DrivingRobotics+3
2:02:13EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストWiring Without a Vision: What OpenAI's and Google's Dueling Launches Really Signalホスト Nathan LabenzZvi Mowshowitz and Nathan Labenz unpack the week of GPT-4o and Google I/O, from rushed demos and AI companions to the big tech singularity and the exodus from OpenAI's safety team.企業と戦略AI StrategyProduct Strategy+3
1:48:13EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストRobotics Hits Its GPT-3.5 Moment: Inside Gemini Robotics, From Embodied Reasoning to Origamiホスト Nathan LabenzGoogle DeepMind researchers Keerthana Gopalakrishnan and Ted Xiao explain how Gemini Robotics works, what it can and cannot do, and where the field goes next.モデルと学習RoboticsMultimodal AI+2
1:17:31EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストImage AI Is Still at the GPT-2 Stage: Suhail Doshi on Building a Unified Vision Modelホスト Nathan LabenzPlayground AI's founder explains why image generation has barely begun to deliver real utility, and why his team is betting 2024 on editing and a single model that can create, edit and understand pixels.マルチモーダルとメディアGenerative mediaMultimodal AI+3
43:44EN
No Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Roblox's 20-Year Bet: Building the Holodeck with Native AI Modelsホスト Sarah Guo, Elad GilRoblox CEO Dave Baszucki explains how 13 billion monthly hours of 3D interaction data could power smarter NPCs, virtual doppelgängers and a cloud-native future for games.プロダクトと UXMultimodal AIGenerative media+3
1:22:17EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストOne Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM Mホスト Nathan LabenzVivek Natarajan and Tao Tu explain how Google built a single generalist biomedical model that reads images, genomics and text, and what it will take to put it in front of patients.モデルと学習AI in healthcareMultimodal AI+3
1:02:15EN
Unsupervised Learning: With Jacob EffronポッドキャストSuno’s CEO Says the Future of Music Is a Conversation, Not a Promptホスト Jacob EffronSuno CEO Mikey Shulman explains how AI music is moving from text prompts to co-creation, why music evals are subjective, and what he would build next.マルチモーダルとメディアGenerative mediaMultimodal AI+3
45:12EN
Sequoia CapitalポッドキャストInside a Robot Data Factory: How Mecka Sensorizes Humans to Train RobotsMecka AI founder Josh Gao explains how a company collects, quality-checks and licenses egocentric human data, and why robotics will arrive as a steady unlock of tasks rather than a single breakthrough.モデルと学習RoboticsData quality & curation+2