絞り込み結果
88 件並び順
1:56:17EN
Lex Fridman· 2021年4月19日ポッドキャスト · 2 人If You Reran Earth a Million Times, Would Anything Like Us Appear?ゲスト Risto Miikkulainen · ホスト Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.
2:39:15ENLex Fridman· 2021年2月18日ポッドキャスト · 2 人Craftsmanship, Graphs and Consciousness: Jim Keller on Building Computers That Thinkゲスト Jim Keller · ホスト Lex FridmanLegendary chip architect Jim Keller talks with Lex Fridman about design philosophy, the future of AI hardware, the human mind and how to live well.
2:08:26ENLex Fridman· 2020年8月23日ポッドキャスト · 2 人Satisfying Lectures Don't Stick: Grant Sanderson on Feynman, Fear, and Hitting Publishゲスト Grant Sanderson · ホスト Lex FridmanThe 3Blue1Brown creator talks with Lex Fridman about why the nicest explanations can fail, why he envies Bell Labs, and why the experts most qualified to teach are the ones least willing to post.
2:29:24ENLex Fridman· 2020年7月31日ポッドキャスト · 2 人We Are the Descendants of the First Digital Computerゲスト Manolis Kellis · ホスト Lex FridmanMIT computational biologist Manolis Kellis tells Lex Fridman why life is digital, why any two humans are 99.9 percent identical, and what evolutionary signatures reveal inside SARS-CoV-2.
1:41:37ENLex Fridman· 2020年7月21日ポッドキャスト · 2 人The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solvedゲスト Jitendra Malik · ホスト Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.
1:37:31ENLex Fridman· 2020年7月14日ポッドキャスト · 2 人The Robot That Brought the Beer Was Being Teleoperatedゲスト Sergey Levine · ホスト Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.
2:00:32ENLex Fridman· 2020年7月3日ポッドキャスト · 2 人Slow Synapses Grow Fast Learners — Warmth Is the Harder Problemゲスト Matt Botvinick · ホスト Lex FridmanDeepMind neuroscience director Matt Botvinick tells Lex Fridman how prefrontal cortex, meta-reinforcement learning, and dopamine research meet the human question of what a better life with AI would actually look like.
1:37:28ENLex Fridman· 2020年5月8日ポッドキャスト · 2 人We Are Still Massively Underestimating Deep Learningゲスト Ilya Sutskever · ホスト Lex FridmanIlya Sutskever tells Lex Fridman why 2012 was about conviction, why bigger models can get worse before they get better, and what he would do with an AGI.
1:12:03ENLex Fridman· 2020年5月5日ポッドキャスト · 2 人Mice Don't Get Alzheimer's: Daphne Koller on Disease in a Dishゲスト Daphne Koller · ホスト Lex FridmanThe Coursera co-founder and insitro CEO on why most diseases are not one disease, how to turn cells into data, and why overconfident neural nets can kill.
2:09:02ENLex Fridman· 2020年4月22日ポッドキャスト · 2 人A Hundred-Nanometer Machine That Is Not Quite Aliveゲスト Dmitry Korkin · ホスト Lex FridmanDmitry Korkin walks through the structural genomics of SARS-CoV-2, from spike-ACE2 docking to drug-binding sites, vaccines, and cruise-ship simulations, recorded in the first spring of the pandemic.
1:48:01ENLex Fridman· 2020年4月3日ポッドキャスト · 2 人David Silver: AlphaGo Won by Taking Human Knowledge Outゲスト David Silver · ホスト Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.
1:29:10ENLex Fridman· 2020年2月20日ポッドキャスト · 2 人Andrew Ng: The Hardest Part of AI Is Rarely the Algorithmゲスト Andrew Ng · ホスト Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.
1:44:55ENLex Fridman· 2020年2月14日ポッドキャスト · 2 人If You Need 60,000 Digits, You Have Not Found Intelligenceゲスト Vladimir Vapnik · ホスト Lex FridmanVladimir Vapnik tells Lex Fridman that intelligence is the art of shrinking a sea of functions with a few good predicates — and that MNIST, solved with sixty examples per class, is the test.
1:18:41ENLex Fridman· 2020年1月14日ポッドキャスト · 2 人The SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Usゲスト Daniel Kahneman · ホスト Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.
1:52:40ENLex Fridman· 2019年12月28日ポッドキャスト · 2 人Without Analogies, There Can Be No Conceptsゲスト Melanie Mitchell · ホスト Lex FridmanMelanie Mitchell talks with Lex Fridman about why analogy sits at the core of thought, why scaled-up learning still fails at common sense, and why she thinks human-level AI is more than a century away.
35:46ENLex Fridman· 2019年11月29日ポッドキャスト · 2 人You never hear structure: Noam Chomsky on language, cognition, and deep learningゲスト Noam Chomsky · ホスト Lex FridmanLex Fridman asks the linguist whether we could talk to aliens, how far language goes in the brain, and whether neural networks tell us anything about the mind.
49:53ENLex Fridman· 2019年11月25日ポッドキャスト · 2 人Gilbert Strang still teaches with thick chalk and four subspacesゲスト Gilbert Strang · ホスト Lex FridmanThe MIT linear-algebra legend talks with Lex Fridman about OpenCourseWare, singular values, neural nets as a million folds, and why calculus hogged the undergraduate timetable.
1:25:01ENLex 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.
1:17:29ENLex 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.
1:59:49ENLex 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.
1:44:11ENLex Fridman· 2019年8月27日ポッドキャスト · 2 人A Single GPU Is Enough: Jeremy Howard on Teaching Deep Learningゲスト Jeremy Howard · ホスト Lex FridmanThe fast.ai founder tells Lex Fridman why domain experts, not more papers or more TPUs, will decide whether deep learning actually helps people.
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.
1:46:01ENLex 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.もっと見る88 件中 24 件を表示