最新の記事
4,484 件並び順
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.
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.
1:10:58ENLex Fridman· 2019年6月3日ポッドキャスト · 2 人The Hadoop Lesson That Made Google Give TensorFlow Awayゲスト Rajat Monga · ホスト Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.
1:13:06ENLex Fridman· 2019年5月13日ポッドキャスト · 2 人The Compiler That Got Apple, Google, and Intel to Share a Codebaseゲスト Chris Lattner · ホスト Lex FridmanChris Lattner walks through LLVM, Clang, Swift, TPU numeric formats, and why compiler work is mostly software engineering.
57:57EN
Jane Street· 2019年5月8日Sebastian Funk on a Fast, Safe and Maintainable Packet ProcessorSebastian Funk · Jane StreetA single-core market-data case study shows how latency targets, allocation control and generated code can coexist with high-level abstractions.
1:46:01ENLex Fridman· 2019年4月29日ポッドキャスト · 2 人The Night AlphaStar Beat TLO, the Team Went to a Barゲスト Oriol Vinyals · ホスト Lex FridmanOriol Vinyals on how DeepMind turned StarCraft II into a sequence problem, built a league of agents, and still refuses to call the game solved.
1:08:37ENLex Fridman· 2019年4月18日ポッドキャスト · 2 人A Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs Workゲスト Ian Goodfellow · ホスト Lex FridmanLex Fridman talks with Ian Goodfellow about the 2014 invention of generative adversarial networks, adversarial examples as a security problem, and what still has to be built before machines can hold a fact the way a person does.
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.
1:25:07ENLex Fridman· 2019年4月3日ポッドキャスト · 2 人The Only Real Freedom Is How AGI Is Bornゲスト Greg Brockman · ホスト Lex FridmanGreg Brockman tells Lex Fridman why OpenAI’s job is to set the initial conditions of general intelligence, not to monopolize who builds it.
1:21:56ENLex Fridman· 2019年3月20日ポッドキャスト · 2 人We Keep Waiting for AGI. Eric Weinstein Says Artificial Life Is Already Hereゲスト Eric Weinstein · ホスト Lex FridmanOn the Lex Fridman Podcast, the mathematician and Thiel Capital managing director argues that selection without intelligence can already parasitize us, and that our bigger failure is wisdom that never caught up with the toys.
1:01:24ENLex Fridman· 2019年3月12日ポッドキャスト · 2 人Leslie Kaelbling: You Buy the Ticket Before You Can Plan the Airportゲスト Leslie Kaelbling · ホスト Lex FridmanThe MIT roboticist tells Lex Fridman why abstractions, belief-space control, and built-in bias matter more than picking a tribe of symbols or neural nets.
1:08:44ENJane Street· 2019年3月8日Nathan Linger on Ontology: A Language-Oriented Permissions SystemNathan Linger · Jane StreetHow Jane Street represents permissions as typed declarations and presents them through an English-language interface.
1:18:13ENJane Street· 2019年2月11日Lindsey Kuper on Abstractions for Correct and Efficient Parallel ComputingLindsey Kuper · University of California, Santa CruzFrom lattice-based shared state to non-invasive parallel languages and neural-network verification, high-level abstractions can make systems both safer and faster.
55:24ENLex Fridman· 2019年2月7日ポッドキャスト · 2 人Kyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single Oneゲスト Kyle Vogt · ホスト Lex FridmanThe Cruise president and CTO tells Lex Fridman why a BattleBots kid from Kansas walked away from a working product, partnered with GM, and is spending 2019 grinding from prototype to production.
1:20:21ENLex Fridman· 2019年1月19日ポッドキャスト · 2 人Einstein Was the Worst of Five Ph.D. Studentsゲスト Tomaso Poggio · ホスト Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.
46:25ENLex Fridman· 2019年1月17日ポッドキャストDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Throughホスト Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
5:12EN
3Blue1Brown· 2019年1月13日The Collision Puzzle That Reveals Digits of πAn idealized pair of sliding blocks produces a surprising counting pattern.
21:42EN
a16z· 2019年1月2日ポッドキャスト · 2 人David Oyelowo on Queen of Katwe and Who Gets to Tell Storiesゲスト David Oyelowo · ホスト Ben HorowitzA 2016 conversation about the film, representation and opportunities in Hollywood.
26:16ENa16z· 2019年1月2日ポッドキャスト · 4 人Innovation, AI and Google I/O: A 2016 Discussionゲスト Benedict Evans, Connie Chan, Steven Sinofsky · ホスト Kyle RussellA historical discussion of Google Assistant, Instant Apps and Daydream as products and platforms.
35:37ENa16z· 2019年1月2日ポッドキャスト · 4 人Coding Literacy and Opening Paths Into Technologyゲスト Susan Mernit, Laura Weidman Powers, Reshma Saujani · ホスト Chrissie BrodiganA 2014 discussion on coding education, confidence, mentorship and barriers to tech careers.
24:58ENa16z· 2019年1月2日ポッドキャスト · 2 人Investing in Underserved Communitiesゲスト Kesha Cash · ホスト Tawny HolguinKesha Cash and Tawny Holguin discuss impact, returns and the Mayvenn business model.
1:06:17ENLex Fridman· 2018年12月28日ポッドキャスト · 2 人Libratus Beat the World's Best Poker Players Without a Neural Networkゲスト Tuomas Sandholm · ホスト Lex FridmanTuomas Sandholm tells Lex Fridman how game theory, abstraction, and search — not deep learning — took heads-up no-limit Texas Hold'em, and why the harder work is deploying that toolkit outside the casino.
1:19:59ENLex Fridman· 2018年12月23日ポッドキャスト · 2 人Schmidhuber’s bet: true meta-learning rewrites the learner, not the last layerゲスト Juergen Schmidhuber · ホスト Lex FridmanJürgen Schmidhuber tells Lex Fridman how Gödel machines, compression-as-science, Power Play, LSTMs, and world models all descend from a teenage plan to multiply one person’s curiosity into a better physicist than he could ever be.
42:45ENLex Fridman· 2018年12月16日ポッドキャスト · 2 人A one-legged robot learned a backflip from "this is better"ゲスト Pieter Abbeel · ホスト Lex FridmanPieter Abbeel tells Lex Fridman why preference comparisons, self-play, ten-minute demos, and messy ensembles of simulators are the practical path through deep reinforcement learning.もっと見る4,484 件中 24 件を表示