最近更新されたチャンネル

選ぶとそのチャンネルだけを表示すべてのチャンネル →

絞り込み結果

72 件
並び順
1:31:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月6日ポッドキャストThirty Years of Research, Collapsed into One Sentenceホスト Nathan LabenzImmunologist Derya Unutmaz on writing a medical patent in half an hour, treating o1 Pro as a professor-level collaborator, and why he no longer trusts his own expertise until he asks the model.AI for scienceAI in healthcareHuman-AI Collaboration+3
40:33EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月27日ポッドキャスト · 2 人Moderna was only company 18. The real product is the company factoryホスト Sarah Guo, Elad GilNoubar Afeyan tells No Priors how Flagship Pioneering turned starting companies into a profession, underwrites scientific uncertainty, and wants AI to run discovery the way Waymo drives.企業と戦略Company BuildingAI for science+3
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月25日ポッドキャスト · 2 人A Hundred Million Cells, Four People, Three Days: Biology's ImageNet Momentホスト Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.モデルと学習AI for scienceData quality & curation+3
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月22日ポッドキャストTwenty-atom crystals taught an AI the physics of a heartbeatホスト Nathan LabenzOrbital Materials' Jonathan Godwin and Tim Duignan tell Nathan Labenz how a neural network trained on tiny crystals simulated a potassium ion channel on a single 2017 GPU.モデルと学習AI for science機械学習の基礎+3
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月18日ポッドキャストHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.ホスト Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.エージェントAgent orchestrationMulti-agent systems+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月5日ポッドキャストAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.ホスト Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.エージェントAI for science検索拡張生成(RAG)+3
39:22EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年11月14日ポッドキャスト · 2 人A Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.ホスト Sarah Guo, Elad GilThe DeepMind team behind AlphaProof tells Sarah Guo and Elad Gil how an AlphaZero-style agent, a Lean verifier, and test-time reinforcement learning reached IMO silver — and why the missing skill is still theory building.エージェントReinforcement LearningReasoning & test-time compute+1
1:23:37EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月23日ポッドキャストNine of the top ten research ideas were Claude'sホスト Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.評価とオブザーバビリティ評価(Evals)Benchmarks+3
41:42EN
Sequoia Capital· 2024年10月22日ポッドキャストNeural Networks Are Still Waiting for Their ThermodynamicsOpenAI researcher Dan Roberts on why physicists keep migrating into AI, and why the field still lacks the equivalent of the ideal gas law.モデルと学習AI researchScaling Laws+3
1:13:23EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月12日ポッドキャストAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.ホスト Nathan LabenzMichael Levin and Leo Pio Lopez on a multilayer embedding that predicted melanoma, a cancer with no mutations, and why biology's real interface is cognitive.AI for scienceComputational BiologyAI research+3
39:45EN
Sequoia Capital· 2024年9月24日ポッドキャストHarmonic’s Bet: Teach AI Math Directly, and the Riemann Hypothesis Falls by 2029Robinhood’s Vlad Tenev and Harmonic co-founder Tudor Achim tell Sequoia why math is reasoning, why Lean is the verifier, and why they refuse to wait for mathematical skill to emerge from scale.モデルと学習Synthetic dataReinforcement Learning+3
1:18:32EN
Cognitive Revolution "How AI Changes Everything"· 2024年9月20日ポッドキャストA DNA Model That Can Tell Which Genes You Cannot Touchホスト Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.モデルと学習AI for scienceComputational Biology+3
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月26日ポッドキャストA Tiny Network Grew a Salt Crystal the Training Data Never Showedホスト Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.モデルと学習AI for science機械学習の基礎+3
1:59:15EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月25日ポッドキャストA Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI Biologyホスト Nathan LabenzThe White House set a thousand-fold lower reporting bar for biological models than for language models—and this conversation shows why that gap already looks prescient.モデルと学習AI for scienceComputational Biology+3
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· 2024年3月30日ポッドキャストSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 Daysホスト Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.モデルと学習AI researchTransformers & attention+3
1:25:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月9日ポッドキャストTwo-Headed Worms, Regenerated Legs, and a Sort That Learned to Waitホスト Nathan LabenzTufts biologist Michael Levin tells Cognitive Revolution why anatomy is rewritable software, and why he stopped a paper that might have made AI more alive.エージェントNeuroscience & AIPhilosophy of Mind+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月12日ポッドキャストTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experimentホスト Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.エージェントAI for scienceエージェント工学+3
3:19:21EN
Lex Fridman· 2023年12月9日ポッドキャスト · 2 人Complexity without copies is just randomness: Lee Cronin on assembly theoryゲスト Lee Cronin · ホスト Lex FridmanThe Glasgow chemist walks Lex Fridman through his controversial Nature paper, a proposed life meter for other worlds, and the claim that the universe is too big to contain its own future.Philosophy of ScienceAstrobiologyOrigin of Life+3
37:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月28日ポッドキャスト · 2 人DNA Is Code, but You Compile It with a Pipetteホスト Sarah Guo, Elad GilGinkgo Bioworks CEO Jason Kelly tells No Priors why cells are worth the magic, why biology has no AWS, and why a pandemic should look like cybersecurity.モデルと学習AI for scienceBiosecurity+3
2:18:25EN
Lex Fridman· 2023年9月1日ポッドキャスト · 2 人Grow Everything: Neri Oxman on Giving Nature a Voteゲスト Neri Oxman · ホスト Lex FridmanThe designer-scientist who left MIT to build OXMAN talks silkworm pavilions, bees in space, and why the end of human agency might be the start of nature's.RoboticsCreativityScience Communication+3
35:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月24日ポッドキャスト · 2 人The Author of Attention Is All You Need Now Compiles mRNA Like Bytecodeホスト Sarah Guo, Elad GilJakob Uszkoreit on why Transformers won, why models spend compute on the wrong things, and why drug discovery has to become generation rather than screening.モデルと学習AI for scienceTransformers & attention+2
2:07:04EN
Lex Fridman· 2023年5月28日ポッドキャスト · 2 人The Ribosome Already Solved Digital Manufacturingゲスト Neil Gershenfeld · ホスト Lex FridmanNeil Gershenfeld tells Lex Fridman why Turing separated the head from the tape, how fab labs are the personal-computer moment for making things, and what it would take to grow a civilization from about twenty parts.オープンソースとコミュニティRoboticsAI research+3
46:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月2日ポッドキャスト · 2 人95% of Drug Programs Fail. Daphne Koller Is Betting Machine Learning on the First Decisionホスト Sarah Guo, Elad GilA new medicine still takes more than a decade and well over a billion dollars — and Insitro's founder argues the expensive failures start with the wrong target, indication, or patient.企業と戦略AI in healthcareAI for science+3
2:06:25EN
Lex Fridman· 2022年12月19日ポッドキャスト · 2 人Nathalie Cabrol Wants the Nature of Life, Not Just a Signal from Marsゲスト Nathalie Cabrol · ホスト Lex FridmanThe SETI Institute astrobiologist tells Lex Fridman why crater lakes, panspermia, and a Mandelbrot view of language all point to the same question: what life actually is.AstrobiologyPhilosophy of ScienceConsciousness+2
もっと見る72 件中 24 件を表示