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4,484 件
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7:45EN
Lex Fridman· 2019年11月6日ポッドキャスト · 2 人Sean Carroll on Hilbert Space, Entropy and Infinityゲスト Sean Carroll · ホスト Lex FridmanAn accessible discussion of abstract spaces and physical uncertainty.
1:29:58EN
Lex Fridman· 2019年11月1日ポッドキャスト · 2 人Believe the Schrödinger Equation. The Cost Is Extra Worldsゲスト Sean Carroll · ホスト Lex FridmanSean Carroll talks with Lex Fridman about why many-worlds is the barest form of quantum mechanics, why spacetime may only be an approximation, and why measurement should not be a primitive in the laws of physics.Quantum MechanicsPhilosophy of ScienceScience Communication+2
14:55EN
Lex Fridman· 2019年10月29日ポッドキャスト · 2 人Kasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questionsゲスト Garry Kasparov · ホスト Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.AI HistoryPhilosophyHuman-AI Collaboration+3
55:24EN
Lex Fridman· 2019年10月27日ポッドキャスト · 2 人The Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and Putinゲスト Garry Kasparov · ホスト Lex FridmanThe former world champion tells Lex Fridman why losing to IBM still hurt, why chess was never the peak of intellect, and why he lives in New York.モデルと学習Human-AI CollaborationAI History+3
20:34EN
Lex Fridman· 2019年10月26日ポッドキャスト · 2 人Teaching Machines the Frameworks Humans Take for Grantedゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.RAG とナレッジAI researchAGI(汎用人工知能)+3
4:15EN
Lex Fridman· 2019年10月25日ポッドキャスト · 2 人Michio Kaku on Einstein, Nature and the Limits of Physicsゲスト Michio Kaku · ホスト Lex FridmanA 2019 conversation considers cosmic meaning, scientific laws and ethics.Philosophy of SciencePhysics
スライド 6 枚47:18EN
Jane Street· 2019年10月24日Unboxed Types and Memory Layouts for OCamlStephen Dolan · Jane StreetStephen explains a proposed type-system extension for controlling data representation while retaining OCaml’s fast separate compilation.Programming LanguagesSoftware engineeringSemiconductors
1:01:00EN
Lex Fridman· 2019年10月22日ポッドキャスト · 2 人A Hundred Billion Galaxies, and We're Still a Type 0.7 Civilizationゲスト Michio Kaku · ホスト Lex FridmanTheoretical physicist Michio Kaku talks with Lex Fridman about aliens, string theory, digital immortality, and why fusion and Mars are the next civilizational steps.AGI TimelinesConsciousness & IntelligenceNeuroscience & AI+3
2:24:31EN
Lex Fridman· 2019年10月11日ポッドキャスト · 2 人Watson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain Itselfゲスト David Ferrucci · ホスト Lex FridmanLex Fridman talks with David Ferrucci about IBM Watson, why prediction is not understanding, and why high-stakes decisions need machines that can reason with us.RAG とナレッジ検索拡張生成(RAG)AI research+3
22:20EN
3Blue1Brown· 2019年10月8日Why a Polar Plot of Primes Forms Spirals and RaysA visualization connects approximations of π, residue classes and the distribution of prime numbers.Mathematics
1:25:01EN
Lex Fridman· 2019年10月3日ポッドキャスト · 2 人Gary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.ゲスト Gary Marcus · ホスト Lex FridmanOn Lex Fridman's podcast, the NYU emeritus and Rebooting AI co-author argues that perception and reasoning need different tools — and that trustworthy AI is impossible until machines can represent harm, bottles, and intent.モデルと学習Deep Learning CritiqueAGI Timelines+3
1:03:13EN
Lex Fridman· 2019年9月30日ポッドキャスト · 2 人You Can't Have Both Kinds of Fairness, Says Peter Norvigゲスト Peter Norvig · ホスト Lex FridmanThe co-author of Artificial Intelligence: A Modern Approach walks Lex Fridman through recidivism scores, utility functions, Lisp, MOOCs, and why human-level intelligence should not be the goal.モデルと学習機械学習の基礎安全性とガバナンス+3
6:13EN
Lex Fridman· 2019年9月28日ポッドキャスト · 2 人Leonard Susskind on Quantum Computers as Simulatorsゲスト Leonard Susskind · ホスト Lex FridmanA 2019 conversation considers quantum simulation and computational limits.PhysicsQuantum Mechanics
3:00EN
Lex Fridman· 2019年9月27日ポッドキャスト · 2 人Leonard Susskind on the First Black Hole Imageゲスト Leonard Susskind · ホスト Lex FridmanA 2019 reflection on observation, relativity and precision instruments.
スライド 11 枚1:05:59EN
Jane Street· 2019年9月27日Derek Dreyer: Proving the Safety of Rust with RustBelt and IrisDerek Dreyer · Max Planck Institute for Software SystemsRust combines safe interfaces with libraries that use unsafe code internally. Derek Dreyer explains how RustBelt verifies those libraries and why its proof needs an expressive logic for concurrency.Programming LanguagesSoftware engineeringセキュリティと安全性
57:30EN
Lex Fridman· 2019年9月26日ポッドキャスト · 2 人400 Spins in a Pocket, and a Universe Too Small to Store Themゲスト Leonard Susskind · ホスト Lex FridmanLeonard Susskind tells Lex Fridman why quantum computers are not faster laptops, why string theory is a tool rather than a citizenship, and why nobody should claim to have found the bottom of the well.Black HolesConsciousnessPhilosophy of Science+2
5:57EN
Lex Fridman· 2019年9月24日ポッドキャスト · 2 人François Chollet Questions the Intelligence-Explosion Hypothesisゲスト François Chollet · ホスト Lex FridmanA 2019 discussion of intelligence, environment and opportunity.
1:17:29EN
Lex Fridman· 2019年9月23日ポッドキャスト · 2 人The Algorithm Is Already Better. The Clinic Still Uses 1967.ゲスト Regina Barzilay · ホスト Lex FridmanMIT's Regina Barzilay on why deep learning already beats the breast-cancer 'density' score — and why data, liability, and incentives still will not move.AI in healthcareAI for scienceData quality & curation+3
37:38EN
Lex Fridman· 2019年9月19日ポッドキャスト · 2 人The Best-Selling Vacuum in America Is a Robotゲスト Colin Angle · ホスト Lex FridmaniRobot CEO Colin Angle on why most robotics companies die, why a Roomba is costed by weight, and why printing privacy promises on the box would hurt sales.企業と戦略RoboticsProduct Strategy+3
1:59:49EN
Lex Fridman· 2019年9月14日ポッドキャスト · 2 人Intelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explodeゲスト François Chollet · ホスト Lex FridmanThe Keras creator tells Lex Fridman that intelligence lives in a brain, a body, and a problem, that science already is a recursively self-improving superhuman system with linear output, and that the real near-term danger is the newsfeed.モデルと学習Deep LearningAI research+3
4:39EN
Lex Fridman· 2019年9月10日ポッドキャスト · 2 人Jeremy Howard on Practical Deep-Learning Researchゲスト Jeremy Howard · ホスト Lex FridmanThe fast.ai co-founder discusses incentives, transfer learning and active learning.
29:04EN
GOTO Conferences· 2019年9月10日Helping Children Explore Coding Through ProjectsSeth ThomsonSeth Thomson shares family experiences, mentorship and robotics lessons from 2019.EducationSoftware engineering
5:29EN
Lex Fridman· 2019年9月9日ポッドキャスト · 2 人Sean Carroll on Intelligent Life and the Limits of Our Searchゲスト Sean Carroll · ホスト Lex FridmanA conversation about the Fermi question, unfamiliar forms of intelligence and possible ways civilizations might be detected.AstrobiologyPhysics
56:47EN
Lex Fridman· 2019年9月8日ポッドキャスト · 2 人Why Vijay Kumar Refuses to Call Them Dronesゲスト Vijay Kumar · ホスト Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.RoboticsAutonomous SystemsMulti-agent systems+3
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