Andrej Karpathy - AI for Full-Self Driving at Tesla Matroid 2020-04-20 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Clement Farabet – NVIDIA: Scaling ML OPs for AV Development Matroid 2021-12-14 | The 6th Annual ScaledML - Presented by Matroid, #ScaledML —matroid.com/scaledmlClément Farabet of NVIDIA discusses the vision for their autonomous vehicle infrastructure and the different elements they’re building to get there. Clément FarabetVP, AI & AV Infrastructuredeveloper.nvidia.com/driveTwitter twitter.com/clmtTwitter twitter.com/NVIDIADRIVELinkedIn linkedin.com/in/clementfarabet
Savin Goyal – Outerbounds: Productivity in Machine Learning Matroid 2021-12-13 | The 6th Annual ScaledML - Presented by Matroid, #ScaledML —matroid.com/scaledmlSavin Goyal explains how to boost productivity using Metaflow to address the challenges of scalability and version control that many data science organizations face.Savin GoyalCo-founder & CTOouterbounds.coTwitter twitter.com/SavinGoyalLinkedIn linkedin.com/in/savingoyalmetaflow.org
Keshav Pingali – Katana Graph: Knowledge Graphs, Graph AI, & The Need For High-performance Computing Matroid 2021-12-09 | The 6th Annual ScaledML - Presented by Matroid, #ScaledML —matroid.com/scaledmlKeshav Pingali discusses two top factors driving high-performance computing:- The growing volume of data being generated - The need to process data efficiently to drive timely insightsKeshav PingaliCo-founder & CEOkatanagraph.comLinkedIn linkedin.com/company/katana-graphTwitter twitter.com/KatanaGraph
Lenore & Manuel Blum – Carnegie Mellon: A Theoretical CS Perspective on Consciousness Matroid 2021-12-07 | The 6th Annual ScaledML - Presented by Matroid, #ScaledML —matroid.com/scaledmlLenore & Manuel Blum, professors emeriti at Carnegie Mellon, discuss their recent work in consciousness which they have found has implications for machine learning and AI.Lenore BlumEmerita Professor – Carnegie MellonProfessor-in-Residence – UC BerkeleyVisiting Chair – Peking UniversityLinkedIn linkedin.com/in/lenore-blum-1a47224Twitter twitter.com/BlumLenoreManuel BlumEmeritus Professor – UC Berkeley & Carnegie MellonVisiting Chair Professor – Peking UniversityTuring Award Winner
Dmytro Dzhulgakov – Meta AI: Scaling AI Through Usability - Lessons from PyTorch Matroid 2021-12-06 | The 6th Annual ScaledML - Presented by Matroid, #ScaledML —matroid.com/scaledmlDmytro Dzhulgakov shares lessons from PyTorch and the value of building new tools to support and accelerate AI development.Dmytro DzhulgakovTechnical LeadMeta AILinkedIn linkedin.com/in/dzhulgakovTwitter twitter.com/dzhulgakov
Chris Rossbach – Katana Graph: Technology Overview Matroid 2021-12-02 | The 6th Annual ScaledML - Presented by Matroid, #scaledml — matroid.com/scaledml Chris Rossbach covers the technology behind their AI powered intelligence platform, a highly programmable framework enabling faster and more accurate insights.Chris RossbachCo-founder & CTOkatanagraph.comTwitter twitter.com/KatanaGraphLinkedIn linkedin.com/company/katana-graph
Simon Knowles – Graphcore: About that Brain Scale AI Matroid 2021-11-30 | The 6th Annual ScaledML - Presented by Matroid #ScaledMLmatroid.com/scaledmlSimon Knowles, CTO of Graphcore, discusses new directions in machine intelligence and what that means for tomorrow’s AI systems. Simon KnowlesCo-founder & CTOgraphcore.aiTwitter twitter.com/graphcoreaiLinkedIn linkedin.com/company/graphcore
Benjamin Harvey – AI Squared: Accelerating AI/ML Integration into Production Business Applications Matroid 2021-11-29 | The 6th Annual ScaledML - Presented by Matroid, #ScaledMLmatroid.com/scaledmlBenjamin Harvey, founder & CEO of AI Squared explains their model integration framework and how it allows teams to unlock the full value of machine learning.Dr. Benjamin HarveyFounder & CEOsquared.aiTwitter twitter.com/AiSquared_LinkedIn linkedin.com/in/benjamin-harvey-ph-d-1928839aLinkedIn linkedin.com/company/aisquaredinc
Wei Li – Intel: Scaling AI with Performance, Productivity, and Security Matroid 2021-11-18 | The 6th Annual ScaledML - Presented by Matroid, #ScaledMLmatroid.com/scaledmlWei Li shares Intel's work on optimizing the #AI ecosystem and maximizing platform performance to enable more diverse workloads. Wei Li, PhDVP & GM, Artificial Intelligence and Analyticsintel.com/content/www/us/en/artificial-intelligence/overview.htmlTwitter twitter.com/IntelAILinkedIn linkedin.com/in/wei-li-a4a611
Stewart Hall – Cerebras Systems: Training of Giant Neural Networks with Weight Streaming Matroid 2021-11-17 | The 6th Annual ScaledML - Presented by Matroid, #ScaledMLmatroid.com/scaledmlCerebras Systems senior architect Stewart Hall gives an overview of Cerebras’ weight streaming technology, which enables training of giant neural networks on a single CS-2 system. Learn more at https://www.cerebras.net.Stewart HallSenior Architectcerebras.netTwitter twitter.com/CerebrasSystemsLinkedIn linkedin.com/in/stewart-hall-69023620
Matei Zaharia – Stanford: Scaling up NLP - Bigger Systems or Smarter Models? Matroid 2021-11-16 | The 6th Annual ScaledML - Presented by Matroid, #ScaledMLmatroid.com/scaledmlMatei_Zaharia covers his team's research at Stanford on the two different and valuable approaches to scaling up natural language processing: bigger systems and smarter models. Matei ZahariaCo-founder & Chief Technologist databricks.comProfessor at Stanfordhttps://cs.stanford.edu/~matei/Twitter twitter.com/matei_zahariaLinkedIn linkedin.com/in/mateizahariaRetrieval-based NLP http://tinyurl.com/rnlp21Github github.com/stanford-futuredata/ColBERTGithub github.com/NVIDIA/Megatron-LM
David Aronchick – The SAME Project: A Cloud Native Approach to Reproducible Machine Learning Matroid 2021-11-15 | The 6th Annual ScaledML - Presented by Matroid #ScaledMLmatroid.com/scaledmlDavid Aronchick discusses a new Kubernetes and Kubeflow project, “Self-Assembling Machine Learning Environment” and how to address the challenges of reproducible machine learning.David AronchickCo-lead Research & Developmentprotocol.aiTwitter twitter.com/protocollabsSAME ProjectGithub github.com/same-project/same-cliMail https://aka.ms/same-groupSlack https://aka.ms/SAMEProjectSlackPersonalTwitter twitter.com/aronchickLinkedIn linkedin.com/in/aronchickWebsite davidaronchick.com
Nicoló Fusi – Microsoft Research: Data-centric AI Matroid 2021-11-10 | The 6th Annual ScaledML - Presented by Matroid #ScaledMLmatroid.com/scaledmlNicoló Fusi, from Microsoft Research, is shining a spotlight on data, specifically data-centric AI and its key advantages. From improved efficiency to increased privacy, watch as he shares what sets this approach apart. Nicoló FusiSenior Principal Research Manager / Senior DirectorCompanyWebsite microsoft.com/en-us/researchTwitter twitter.com/MSFTResearchPersonalTwitter twitter.com/nfusiLinkedIn linkedin.com/in/nicolo-fusi-4a5463a4Website http://nicolofusi.com
Richard Socher – You.com: Summarizing the Web with NLP Matroid 2021-11-09 | The 6th Annual ScaledML - Presented by Matroid #ScaledMLmatroid.com/scaledmlOur CEO, Reza Zadeh, sat down with Richard Socher, founder & CEO, to talk about privacy and the next generation of search engines as they launch their beta version publicly for the first time. Other publications:techcrunch.com/2021/11/09/you-com-lands-20m-series-a-to-reimagine-the-search-enginereuters.com/article/you-funding/salesforce-ceo-benioff-invests-in-search-engine-startup-you-com-idUSL1N2RW2Q4Richard SocherFounder & CEO - you.comtwitter.com/_youdotcom_socher.orgTwitter twitter.com/RichardSocherLinkedIn linkedin.com/in/richard-socher-19363b18Personal socher.orgReza ZadehFounder & CEO - http://matroid.comTwitter twitter.com/Reza_ZadehLinkedIn linkedin.com/in/rezabPersonal http://stanford.edu/~rezab/
Even Oldridge – NVIDIA Merlin: Recommender Systems at Scale on the GPU Matroid 2021-11-08 | The 6th Annual ScaledML - Presented by Matroid #ScaledMLmatroid.com/scaledmlEven Oldridge of NVIDIA discusses the latest GPU advancements powering recommender systems at scale. Even Oldridge - NVIDIA Sr. Manager, RecSys Platform TeamGithub github.com/NVIDIA-Merlin/NVTabularTwitter twitter.com/NvidiaaiTwitter twitter.com/Even_OldridgeLinkedIn linkedin.com/in/even-oldridge#NVIDIAMerlin
Alyona Medelyan – Thematic: How to Start a Startup for AI Engineers Matroid 2021-11-04 | The 6th Annual ScaledML - Presented by Matroid #ScaledMLmatroid.com/scaledmlCo-founder and CEO, Alyona Medelyan, shares her journey of how she started Thematicand encourages #AI engineers to start a startup. Alyona Medelyan, PhDCo-founder & CEO getthematic.comCompanyTwitter twitter.com/getthematicLinkedIn linkedin.com/company/thematic-ltdPersonalTwitter twitter.com/zelandiyaLinkedIn linkedin.com/in/medelyanWebsite medelyan.com
Peter Mattson – MLCommons: Building What ML Needs Matroid 2021-11-02 | The 6th Annual ScaledML - Presented by Matroid #ScaledMLmatroid.com/scaledmlPeter Mattson, President of MLCommons, discusses three core pillars: benchmarks, datasets, and best practices. He shares how MLCommons is building a global community to advance innovation forward and how you can get involved. Peter MattsonPresident - mlcommons.org/enGeneral Chair - MLPerfTwitter twitter.com/commons_mlLinkedIn linkedin.com/in/peter-mattson-33b8863
Ion Stoica – Ray: A Universal Framework for Distributed Systems Matroid 2021-11-01 | The 6th Annual ScaledML - Presented by Matroid #ScaledMLmatroid.com/scaledmlMatroid is excited to kick off #ScaledML with a presentation by Ion Stoica about Ray Distributed. This year’s series is packed with subject matter experts discussing the future of AI. Ion StoicaCo-founder and President - anyscale.comPersonal https://people.eecs.berkeley.edu/~istoica/Ray Distributed ray.ioRISELab https://rise.cs.berkeley.edu/Twitter twitter.com/raydistributed
Chris Hadfield interviewed by Reza Zadeh. Matroid 2021-09-23 | Presented by Matroid at ScaledML 2021 matroid.com/scaledmlOur founder chats with Commander Chris Hadfield about software, space, and his new book, "The Apollo Murders". When will we visit Mars & the Moon again, the Apollo Murders, AI in Space, and much more. 0:00 Intro0:54 Overview 2:22 When will we visit Mars & the Moon again? 9:59 Problems with getting to Mars 15:48 Chris talks about his new book 18:38 The Apollo Murders Summary 20:04 Why is The Apollo Murders set in the 1970s? 26:36 What parts of the book were inspired by real events? 27:42 The truth behind the size of the space shuttle 31:09 Is The Apollo Murders movie coming? 34:36 Chris talks about going blind in space 38:56 When things go wrong in space 45:43 Software in space 49:30 Chris Hadfield's role in the Open Lunar Foundation 58:50 Chris's role in other space-related companies 1:00:20 Space travel in the future 1:05:42 How does AI affect Astronauts and space exploration? 1:11:56 Space technology impacts on earth 1:17:41 Unexplainable things in space 1:25:17 Closing Comments 1:25:40 Credits More videos from our conference, #ScaledML: matroid.com/scaledmlInstagram: instagram.com/matroidFacebook: facebook.com/matroidTwitter: twitter.com/homeLinkedIn: linkedin.com/company/matroid
Matroid Product Overview Matroid 2021-02-04 | Matroid CEO Reza Zadeh gives an overview of the Matroid product and its new features at ScaledML 2018.
David Aronchick - Using MLOps to Bring ML to Production Matroid 2021-02-04 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Josh Romero - Scaling DL on the Summit Supercomputer Matroid 2021-02-04 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Panel Discussion - AI Products & MLOps Matroid 2021-02-04 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Peter Mattson - MLPerf: Driving Innovation by Measuring Performance Matroid 2021-01-10 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Savin Goyal - Human-Centric Approach to ML Infrastructure Matroid 2020-09-29 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Wes McKinney - Apache Arrow: Present & Future Matroid 2020-09-16 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Mohamed Fawzy - Distributed Training at Facebook Scale Matroid 2020-08-19 | For more talks and to view corresponding slides, go to info.matroid.com/scaledml-media-archive-previewPresented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Kunle Olukotun - Accelerating Software 2.0 Matroid 2020-07-17 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Sean Lie - Wafer-Scale ML Matroid 2020-07-01 | For more talks and to view corresponding slides, go to info.matroid.com/scaledml-media-archive-previewPresented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Matei Zaharia - Scaling ML Development with MLflow Matroid 2020-06-22 | For more talks and to view corresponding slides, go to info.matroid.com/scaledml-media-archivesPresented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Megan Kacholia - ML at Google Scale Matroid 2020-06-11 | For more talks and to view corresponding slides, go to info.matroid.com/scaledml-media-archive-previewPresented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Ion Stoica - ML for Systems Matroid 2020-06-03 | For more talks and to view corresponding slides, go to info.matroid.com/scaledml-media-archive-previewPresented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
François Chollet - Keras: The Next Five Years Matroid 2020-05-22 | For more talks and to view corresponding slides, go to info.matroid.com/scaledml-media-archive-previewPresented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Joe Isaacson - Optimizing the Design of Genetic Programs for Living Cells Matroid 2020-05-15 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Dennis Abts - Ditching the C in CPU Matroid 2020-05-07 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Joshua Bloom - Towards Physics-Informed ML Inference in Astrophysics Matroid 2020-05-01 | For more talks and to view corresponding slides, go to info.matroid.com/scaledml-media-archive-previewPresented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Ilya Sutskever - The Power of Large Scale Generative Models and RL Matroid 2020-05-01 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Oren Etzioni - AI and the Future of Humanity Matroid 2020-04-28 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Reza Zadeh - Turning Machine Learning Research into Products for Industry Matroid 2020-04-25 | An overview of use-cases at Matroid and the guidelines for moving research from universities into industry.More talks at info.matroid.com/scaledml-media-archive-previewPresented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Jim Keller - Moores Law in the age of AI Chips Matroid 2020-04-20 | For more talks and to view corresponding slides, go to scaledml.org, select [media archive].Presented at the 5th Annual Scaled Machine Learning Conference 2020Venue: Computer History Museum scaledml.org | #scaledml2020
Lise Getoor - Responsible Data Science Matroid 2019-04-09 | Presented at the Matroid Scaled Machine Learning Conference 2019Venue: Computer History Museum scaledml.org | #scaledml2019
Wei Li - Performance Software for Deep Learning Matroid 2019-04-06 | Presented at the Matroid Scaled Machine Learning Conference 2019Venue: Computer History MuseumScaledml.org | #scaledml2019
Dmytro Dzhulgakov - PyTorch at Facebook Scale Matroid 2019-04-06 | Presented at the Matroid Scaled Machine Learning Conference 2019Venue: Computer History Museum scaledml.org | #scaledml2019
Clément Farabet - Inside Nvidias AI Infrastructure for Self-Driving Cars Matroid 2019-04-06 | Presented at the Matroid Scaled Machine Learning Conference 2019Venue: Computer History Museum scaledml.org | #scaledml2019
Nicolo Fusi - Toward More Automated and Ethical Machine Learning Matroid 2019-04-06 | Presented at the Matroid Scaled Machine Learning Conference 2019Venue: Computer History MuseumScaledml.org | #scaledml2019
David Patterson - Domain-Specific Architectures for Deep Neural Networks Matroid 2019-04-06 | Presented at the Matroid Scaled Machine Learning Conference 2019Venue: Computer History Museum scaledml.org | #scaledml2019
Bill Dally - Accelerating AI Matroid 2019-04-06 | Presented at the Matroid Scaled Machine Learning Conference 2019Venue: Computer History Museum scaledml.org | #scaledml2019
Simon Knowles - Design Considerations for Large Learning Machines Matroid 2019-04-06 | Presented at the Matroid Scaled Machine Learning Conference 2019Venue: Computer History MuseumScaledml.org | #scaledml2019
