絞り込み結果
242 件並び順
2:46:57EN
Lex Fridman· 2020年10月18日ポッドキャスト · 2 人Programming Languages Are Bicycles for the Mindゲスト Chris Lattner · ホスト Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.
44:34EN
Jane Street· 2020年10月14日Chris Perl on Keeping Network Clocks in SyncYaron Minsky, Chris Perl · Jane StreetHow NTP, PTP and hardware timestamps work together to keep Jane Street’s clocks within a measurable error bound.
1:02:18ENJane Street· 2020年9月23日Brian Nigito on Multicast and the Architecture of MarketsYaron Minsky, Brian Nigito · Jane StreetWhy exchanges use ordered event streams, multicast and specialized networking to distribute market data quickly and fairly.
59:26ENJane Street· 2020年9月17日Andy Ray on FPGAs, Hardware Design and HardcamlYaron Minsky, Andy Ray · Jane StreetJane Street’s hardware design lead explains why programmable circuits can improve performance and how software tooling makes them easier to build and test.
1:49:51ENLex Fridman· 2020年6月27日ポッドキャスト · 2 人The Idea Once Called a Devolution Now Powers Almost Every New Chipゲスト David Patterson · ホスト Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.
26:02ENLex Fridman· 2020年2月9日ポッドキャストMoore’s Law Is Not Dead—It Is a Cascade of S-Curvesホスト Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
1:47:04ENLex Fridman· 2019年7月29日ポッドキャスト · 2 人Gustav Söderström on Why Spotify Could Only Be Born in Swedenゲスト Gustav Soderstrom · ホスト Lex FridmanLex Fridman talks with Spotify’s chief R&D officer about three-minute songs, 250-millisecond playback, playlist luck, and herding record labels.
1:13:06ENLex Fridman· 2019年5月13日ポッドキャスト · 2 人The Compiler That Got Apple, Google, and Intel to Share a Codebaseゲスト Chris Lattner · ホスト Lex FridmanChris Lattner walks through LLVM, Clang, Swift, TPU numeric formats, and why compiler work is mostly software engineering.
57:57ENJane Street· 2019年5月8日Sebastian 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.
1:06:51ENJane Street· 2018年10月24日Marius 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.
1:06:49ENJane Street· 2018年1月30日Bryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.
1:27:23EN
Lenny's PodcastポッドキャストGoing All In on AI at Cisco: Jeetu Patel on Platforms, Packet Loss and Telling People the Truthホスト Lenny RachitskyCisco's president and chief product officer explains how a 90,000-person company went AI-first, what Cisco does in the AI infrastructure stack, and the leadership and career lessons behind it.
1:19:25ENLenny's PodcastポッドキャストInside Mercado Libre: How 18,000 Engineers Ship 30,000 Changes a Day Without an Army of PMsホスト Lenny RachitskySebastian Barrios, formerly head of product and engineering at Mercado Libre and now SVP of Engineering at Roblox, explains how a Latin American giant runs engineering and product as one team.
1:01:23EN
Citadel SecuritiesポッドキャストJensen Huang on AI Factories, Digital Workers and Why the Build-Out Has Barely BegunNvidia's CEO tells a room of institutional investors how accelerated computing led to AI factories, and where agentic AI, robotics and sovereign AI go next.
23:57EN
No Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Chips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boomホスト Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.
30:30ENLex FridmanポッドキャストFrom Bitcoin Magazine to Ethereum 2.0: Vitalik Buterin on Building a World Computerホスト Lex FridmanVitalik Buterin traces Ethereum's origin in the Bitcoin community, the governance fights that followed, and the proof-of-stake and sharding upgrades still to come.
1:18:48ENLex FridmanポッドキャストData Movement, Not Math: How to Make Deep Learning Fit on Robots and Phonesホスト Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.
36:05ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Contracts, Not Chips, Are the Collateral: How the AI Compute Buildout Gets Financedホスト Sarah Guo, Elad GilMagnetar's Neil Tiwari explains the debt structures behind GPU clouds, why power and steel now limit the buildout, and why he thinks the selloff in software is overdone.
45:46EN
Unsupervised Learning: With Jacob EffronポッドキャストGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interfaceホスト Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
51:55ENUnsupervised Learning: With Jacob EffronポッドキャストThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enoughホスト Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.
15:43ENLex Fridmanポッドキャスト · 2 人Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Studyゲスト MIT-AVT · ホスト Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
46:48ENUnsupervised Learning: With Jacob EffronポッドキャストSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes Firstホスト Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.
1:30:18ENLex FridmanポッドキャストNight Markets and Chip Foundries: A Week in Taiwan with Jensen Huangホスト Lex FridmanLex Fridman follows NVIDIA's CEO through Computex, street food and long chats about Taiwan's tech history, export controls and how to choose business partners.
1:02:06ENLex FridmanポッドキャストLearning TensorFlow Hands-On: From a Mystery Line to Handwritten Digitsホスト Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.もっと見る242 件中 24 件を表示