최신 글
4,484개정렬
1:01:24EN
Lex Fridman· 2019년 3월 12일팟캐스트 · 2명Leslie Kaelbling: You Buy the Ticket Before You Can Plan the Airport게스트 Leslie Kaelbling · 진행자 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.
1:08:44EN
Jane Street· 2019년 3월 8일Nathan 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· 2019년 2월 11일Lindsey 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· 2019년 2월 7일팟캐스트 · 2명Kyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single One게스트 Kyle Vogt · 진행자 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· 2019년 1월 19일팟캐스트 · 2명Einstein Was the Worst of Five Ph.D. Students게스트 Tomaso Poggio · 진행자 Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.
46:25ENLex Fridman· 2019년 1월 17일팟캐스트Deep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Through진행자 Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
5:12EN
3Blue1Brown· 2019년 1월 13일The Collision Puzzle That Reveals Digits of πAn idealized pair of sliding blocks produces a surprising counting pattern.
21:42EN
a16z· 2019년 1월 2일팟캐스트 · 2명David Oyelowo on Queen of Katwe and Who Gets to Tell Stories게스트 David Oyelowo · 진행자 Ben HorowitzA 2016 conversation about the film, representation and opportunities in Hollywood.
26:16ENa16z· 2019년 1월 2일팟캐스트 · 4명Innovation, AI and Google I/O: A 2016 Discussion게스트 Benedict Evans, Connie Chan, Steven Sinofsky · 진행자 Kyle RussellA historical discussion of Google Assistant, Instant Apps and Daydream as products and platforms.
35:37ENa16z· 2019년 1월 2일팟캐스트 · 4명Coding Literacy and Opening Paths Into Technology게스트 Susan Mernit, Laura Weidman Powers, Reshma Saujani · 진행자 Chrissie BrodiganA 2014 discussion on coding education, confidence, mentorship and barriers to tech careers.
24:58ENa16z· 2019년 1월 2일팟캐스트 · 2명Investing in Underserved Communities게스트 Kesha Cash · 진행자 Tawny HolguinKesha Cash and Tawny Holguin discuss impact, returns and the Mayvenn business model.
1:06:17ENLex Fridman· 2018년 12월 28일팟캐스트 · 2명Libratus Beat the World's Best Poker Players Without a Neural Network게스트 Tuomas Sandholm · 진행자 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· 2018년 12월 23일팟캐스트 · 2명Schmidhuber’s bet: true meta-learning rewrites the learner, not the last layer게스트 Juergen Schmidhuber · 진행자 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· 2018년 12월 16일팟캐스트 · 2명A one-legged robot learned a backflip from "this is better"게스트 Pieter Abbeel · 진행자 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.
1:26:21ENLex Fridman· 2018년 12월 9일팟캐스트 · 2명The Machine Should Never Treat Its Objective as Gospel게스트 Stuart Russell · 진행자 Lex FridmanStuart Russell talks with Lex Fridman about metareasoning, self-driving reliability, and why uncertainty about human goals is the core of the control problem.
1:03:45ENJane Street· 2018년 12월 7일Jane Street and the OCaml CompilerYaron Minsky · Jane StreetRon Minsky traces an accidental language adoption into a long-term commitment to compiler engineering and a shared open-source ecosystem.
33:07ENLex Fridman· 2018년 12월 4일팟캐스트 · 2명They Ran an Extension Cord Next Door and Invented Google게스트 Eric Schmidt · 진행자 Lex FridmanEric Schmidt tells Lex Fridman that Larry and Sergey never held the entrepreneurship meeting: they had a better algorithm, too little power in the dorm, and a $100,000 check.
15:50EN3Blue1Brown· 2018년 12월 2일Why a Sphere’s Surface Area Is Four Times Its ShadowGrant Sanderson · 3Blue1BrownTwo geometric routes from a sphere to circles, and a generalization to convex shapes.
1:20:09ENLex Fridman· 2018년 11월 29일팟캐스트 · 2명Stack Overflow Was Never Designed for Beginners게스트 Jeff Atwood · 진행자 Lex FridmanOn Stack Overflow’s tenth birthday, Jeff Atwood talks with Lex Fridman about puzzles, leadership, Discourse, and why a software team’s health is how fast it can change one word.
1:37:30EN
Google DeepMind· 2018년 11월 23일Volodymyr Mnih: A Tour of Deep Reinforcement Learning AgentsVolodymyr Mnih · DeepMindFrom DQN and replay to A3C and IMPALA, a 2018 lecture traces the design choices behind deep RL agents.
1:26:44ENLex Fridman· 2018년 11월 22일팟캐스트 · 2명He raised Python like a child, then set it free게스트 Guido van Rossum · 진행자 Lex FridmanIn a 2018 conversation with Lex Fridman, Guido van Rossum traces Python from electronics kits and Conway's Game of Life to the Thursday morning he resigned as benevolent dictator for life.
54:03ENLex Fridman· 2018년 11월 16일팟캐스트 · 2명The Hardest Part of Learning Was Left Out of the Textbooks게스트 Vladimir Vapnik · 진행자 Lex FridmanVladimir Vapnik tells Lex Fridman why intelligence is the work of inventing predicates that shrink the admissible set of functions, not of fitting a rule to a mountain of data.
1:06:51ENJane Street· 2018년 10월 24일Marius Eriksen: Reflow for Incremental Cloud Data ProcessingMarius Eriksen · GRAILA functional language and runtime turn data workflows into typed programs, reuse prior results and provision cloud resources on demand.
42:18ENLex Fridman· 2018년 10월 20일팟캐스트 · 2명An Adult Can Change Last Year's Mind. A Network Still Cannot.게스트 Yoshua Bengio · 진행자 Lex FridmanYoshua Bengio tells Lex Fridman that the missing pieces of deep learning sit in credit assignment, training objectives, and a kind of compositionality borrowed from classical AI — not in ten thousand layers.더 보기4,484개 중 24개 표시