絞り込み結果
104 件並び順
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.
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.
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.
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.
1:13:40ENUnsupervised 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.
11:29ENLex 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.
2:02:13ENCognitive 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.
1:48:13ENCognitive 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.
1:17:31ENCognitive 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.
43:44ENNo 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.
1:22:17ENCognitive 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.
1:02:15ENUnsupervised 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.
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.