Kürzlich aktualisierte Kanäle

Wählen, um nur diesen Kanal zu sehenAlle Kanäle →

Neueste Artikel

4.485 Artikel
Sortieren
1:10:58EN
Lex Fridman· 3. Juni 2019Podcast · 2 StimmenThe Hadoop Lesson That Made Google Give TensorFlow AwayGast: Rajat Monga · Moderation: 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.Open Source & CommunityOpen-source ecosystemsCommunity building+3
1:13:06EN
Lex Fridman· 13. Mai 2019Podcast · 2 StimmenThe Compiler That Got Apple, Google, and Intel to Share a CodebaseGast: Chris Lattner · Moderation: Lex FridmanChris Lattner walks through LLVM, Clang, Swift, TPU numeric formats, and why compiler work is mostly software engineering.Infrastruktur & DeploymentOpen-source ecosystemsSoftware engineering+1
5 Folien57:57EN
Jane Street· 8. Mai 2019Sebastian 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.Software engineeringBenchmarksInfrastruktur & Deployment
1:46:01EN
Lex Fridman· 29. Apr. 2019Podcast · 2 StimmenThe Night AlphaStar Beat TLO, the Team Went to a BarGast: Oriol Vinyals · Moderation: 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.AgentenReinforcement LearningMulti-agent systems+3
1:08:37EN
Lex Fridman· 18. Apr. 2019Podcast · 2 StimmenA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs WorkGast: Ian Goodfellow · Moderation: 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.Modelle & TrainingGenerative mediaML-Grundlagen+3
32:45EN
Lex Fridman· 12. Apr. 2019Podcast · 2 StimmenElon Musk: Every Driver Input Is an Error Tesla Autopilot Must EliminateGast: Elon Musk · Moderation: 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.SicherheitAutonomous DrivingHuman-in-the-Loop-Validierung+3
1:25:07EN
Lex Fridman· 3. Apr. 2019Podcast · 2 StimmenThe Only Real Freedom Is How AGI Is BornGast: Greg Brockman · Moderation: 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.Unternehmen & StrategieAGI TimelinesSicherheit & Governance+3
1:21:56EN
Lex Fridman· 20. März 2019Podcast · 2 StimmenWe Keep Waiting for AGI. Eric Weinstein Says Artificial Life Is Already HereGast: Eric Weinstein · Moderation: 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.SicherheitSicherheit & GovernanceExistential Risk+3
1:01:24EN
Lex Fridman· 12. März 2019Podcast · 2 StimmenLeslie Kaelbling: You Buy the Ticket Before You Can Plan the AirportGast: Leslie Kaelbling · Moderation: 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.AgentenReinforcement LearningRobotics+3
8 Folien1:08:44EN
Jane Street· 8. März 2019Nathan 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.Programming LanguagesSoftware engineeringPrivacy & data governance
7 Folien1:18:13EN
Jane Street· 11. Feb. 2019Lindsey 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.Programming LanguagesSoftware engineering
55:24EN
Lex Fridman· 7. Feb. 2019Podcast · 2 StimmenKyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single OneGast: Kyle Vogt · Moderation: 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.Unternehmen & StrategieAutonomous DrivingRobotics+3
1:20:21EN
Lex Fridman· 19. Jan. 2019Podcast · 2 StimmenEinstein Was the Worst of Five Ph.D. StudentsGast: Tomaso Poggio · Moderation: Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.Modelle & TrainingML-GrundlagenAI research+3
46:25EN
Lex Fridman· 17. Jan. 2019PodcastDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke ThroughModeration: Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.Modelle & TrainingDeep LearningAI research+3
5:12EN
3Blue1Brown· 13. Jan. 2019The Collision Puzzle That Reveals Digits of πAn idealized pair of sliding blocks produces a surprising counting pattern.MathematicsPhysics
21:42EN
a16z· 2. Jan. 2019Podcast · 2 StimmenDavid Oyelowo on Queen of Katwe and Who Gets to Tell StoriesGast: David Oyelowo · Moderation: Ben HorowitzA 2016 conversation about the film, representation and opportunities in Hollywood.Storytelling
26:16EN
a16z· 2. Jan. 2019Podcast · 4 StimmenInnovation, AI and Google I/O: A 2016 DiscussionGast: Benedict Evans, Connie Chan, Steven Sinofsky · Moderation: Kyle RussellA historical discussion of Google Assistant, Instant Apps and Daydream as products and platforms.Product StrategyAI History
35:37EN
a16z· 2. Jan. 2019Podcast · 4 StimmenCoding Literacy and Opening Paths Into TechnologyGast: Susan Mernit, Laura Weidman Powers, Reshma Saujani · Moderation: Chrissie BrodiganA 2014 discussion on coding education, confidence, mentorship and barriers to tech careers.EducationSoftware engineeringCareers
24:58EN
a16z· 2. Jan. 2019Podcast · 2 StimmenInvesting in Underserved CommunitiesGast: Kesha Cash · Moderation: Tawny HolguinKesha Cash and Tawny Holguin discuss impact, returns and the Mayvenn business model.InvestingVenture Capital
1:06:17EN
Lex Fridman· 28. Dez. 2018Podcast · 2 StimmenLibratus Beat the World's Best Poker Players Without a Neural NetworkGast: Tuomas Sandholm · Moderation: 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.AgentenMulti-agent systemsAI research+1
1:19:59EN
Lex Fridman· 23. Dez. 2018Podcast · 2 StimmenSchmidhuber’s bet: true meta-learning rewrites the learner, not the last layerGast: Juergen Schmidhuber · Moderation: 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.Modelle & TrainingML-GrundlagenAGI Timelines+3
42:45EN
Lex Fridman· 16. Dez. 2018Podcast · 2 StimmenA one-legged robot learned a backflip from "this is better"Gast: Pieter Abbeel · Moderation: 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.Modelle & TrainingReinforcement LearningRobotics+2
1:26:21EN
Lex Fridman· 9. Dez. 2018Podcast · 2 StimmenThe Machine Should Never Treat Its Objective as GospelGast: Stuart Russell · Moderation: 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.SicherheitSicherheit & GovernanceAutonomous Driving+3
1:03:45EN
Jane Street· 7. Dez. 2018Jane 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.Programming LanguagesSoftware engineeringDeveloper productivity+1
Mehr laden24 von 4.485 angezeigt