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Matthew Berman· 12 may 2023Google I/O 2023: Bard, PaLM 2 and AI Across Google's ProductsMatthew Berman · Forward FutureMatthew Berman reviews Google's 2023 AI announcements and weighs its focus on improving established products.
7:53ENMatthew Berman· 4 abr 2023HuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.
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Cognitive Revolution "How AI Changes Everything"· 30 mar 2023Pódcast130,000 Teleop Demos: Google's GPT Playbook for RobotsPresenta: Nathan LabenzKeerthana Gopalakrishnan of Google Robotics tells Nathan Labenz how RT-1, SayCan, and PaLM-E turn language-model scaling into kitchen-ready mobile manipulators.
1:21:20ENCognitive Revolution "How AI Changes Everything"· 9 mar 2023PódcastFreeze the eyes and the brain. Train only the optic nerve.Presenta: Nathan LabenzJunnan Li and Dongxu Li tell Nathan Labenz how BLIP cleaned noisy web captions, and how BLIP-2 connected a frozen vision model to a frozen language model in under ten days on one A100.
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No Priors: AI, Machine Learning, Tech, & Startups· 16 feb 2023Pódcast · 2 vocesEmad Mostaque’s bet: open small models, not one giant brainPresenta: Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.
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跟李沐学AI· 12 ene 2023多模态论文串讲：BLIP、CoCa 与 BEiT-3从图文数据清理到统一预训练，梳理三种视觉语言模型的结构、目标函数与相互联系。
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Lex Fridman· 21 sept 2022Pódcast · 2 vocesA Smile Is Not Happiness: Rana el Kaliouby on Emotion AI and the Empathy CrisisInvitado: Rana el Kaliouby · Presenta: 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.
2:30:30ENLex Fridman· 31 jul 2021Pódcast · 2 vocesThe Fallacy of the Successful First StepInvitado: Ishan Misra · Presenta: 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.
1:00:11ENLex Fridman· 17 jun 2019Pódcast · 2 vocesRosalind Picard: Clippy Never Saw You Frown, and That's the Whole ProblemInvitado: Rosalind Picard · Presenta: 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.
1:23:18ENCognitive Revolution "How AI Changes Everything"PódcastFrom GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the InternetPresenta: 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.
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Unsupervised Learning: With Jacob EffronPódcastAdobe's Firefly Bet: A Billion Beta Images, Creative Control, and Trust at ScalePresenta: 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.
1:53:14ENCognitive Revolution "How AI Changes Everything"PódcastWorth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute CapPresenta: 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.
1:03:24ENUnsupervised Learning: With Jacob EffronPódcastWhy Sora Bet on People, Not Just PixelsPresenta: 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.
1:31:52ENLex FridmanPódcastFrom Phonemes to CTC: How Deep Learning Rebuilt Speech RecognitionPresenta: 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.
1:45:55ENCognitive Revolution "How AI Changes Everything"PódcastFrom Static Structures to Moving Molecules: Where AI for Protein Design Stands After AlphaFold 3Presenta: 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.
1:02:57ENCognitive Revolution "How AI Changes Everything"PódcastVirtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the ClinicPresenta: 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.
23:54ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIPresenta: 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.
45:46ENUnsupervised Learning: With Jacob EffronPódcastGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfacePresenta: Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
15:43ENLex FridmanPódcast · 2 vocesInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving StudyInvitado: MIT-AVT · Presenta: Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
1:13:40ENUnsupervised Learning: With Jacob EffronPódcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentPresenta: 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.
11:29ENLex FridmanPódcastWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenPresenta: Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.
2:02:13ENCognitive Revolution "How AI Changes Everything"PódcastWiring Without a Vision: What OpenAI's and Google's Dueling Launches Really SignalPresenta: 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.
1:48:13ENCognitive Revolution "How AI Changes Everything"PódcastRobotics Hits Its GPT-3.5 Moment: Inside Gemini Robotics, From Embodied Reasoning to OrigamiPresenta: 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.
1:17:31ENCognitive Revolution "How AI Changes Everything"PódcastImage AI Is Still at the GPT-2 Stage: Suhail Doshi on Building a Unified Vision ModelPresenta: 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.Cargar másMostrando 24 de 118