Conferences / ScaledML (Scaled Machine Learning Conference)
ScaledML 2020
Feb 26–27, 2020 · Computer History Museum, Mountain View, CA, United States
- Conference
- ScaledML (Scaled Machine Learning Conference) Data science & ML
- Dates
- Feb 26, 2020 – Feb 27, 2020
- Venue
- Computer History Museum
- Place
- Mountain View, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- scaledml.org
- Recorded
- 1 sponsors · 51 speaker appearances
- Notes
- 5th annual ScaledML. Speakers and schedule from the March 2020 site snapshot; videos (HubSpot-hosted MP4) and slide links from Matroid's 2020 media archive. Jim Keller's title was 'To be announced' on the site; title taken from the media archive. Poster-session presenters listed with role 'poster' (no titles given). Panel affiliations from the speaker list. No sponsor list on the 2020 site (only 'Organized by Matroid'). Ticket prices not found (Eventbrite page not archived).
Ticket prices
No ticket prices recorded
Sponsors 1
Title / headline 1
- Matroid · Organized by
Speakers and talks 51
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Oren Etzioni | Allen Institute for Artificial Intelligence | Keynote | AI and the Future of Humanity | SlidesVideo |
| Reza Zadeh | Matroid & Stanford | Keynote | Turning Machine Learning Research into Products for Industry | Video |
| Aerin Kim | Microsoft | Poster | — | — |
| Alyona Medelyan | Thematic | Panelist | Panel: AI Products (MLOps, ML platforms, shipping AI products) | Video |
| Amanda Moran | Databricks | Poster | — | — |
| Anand Joshi | Tractica | Poster | — | — |
| Andrej Karpathy | Tesla | Speaker | AI for Full Self-Driving | Video |
| Aravind Srinivas | UC Berkeley | Poster | — | — |
| Brent Follins | Ground Round | Poster | — | — |
| Chip Huyen | Independent | Poster | — | — |
| Daniel Takabi | Georgia State University | Poster | — | — |
| David Aronchick | Microsoft | Speaker | Using MLOps to Bring ML to Production | SlidesVideo |
| Dennis Abts | Groq | Speaker | Ditching the 'C' in CPU: Groq's Tensor Streaming Processor (TM) | SlidesVideo |
| Dzmitry Pletnikau | Rosebud AI | Poster | — | — |
| Emily Watkins | Pure Storage | Poster | — | — |
| François Chollet | Speaker | Keras: The Next Five Years | SlidesVideo | |
| Hari Sivaraman | VMware | Poster | — | — |
| Ilya Sutskever | OpenAI | Speaker | The Power of Large-scale Generative Models and RL | SlidesVideo |
| Ion Stoica | UC Berkeley | Speaker | ML for Systems | SlidesVideo |
| Jennifer Prendki | Alectio | Panelist | Panel: AI Products (MLOps, ML platforms, shipping AI products) | Video |
| Jim Keller | Intel | Speaker | Moore's Law in the age of AI Chips | SlidesVideo |
| Joe Isaacson | Asimov | Speaker | Optimizing the Design of Genetic Programs for Living Cells | SlidesVideo |
| Jong Hoon Shin | Samsung Electronics | Poster | — | — |
| Joseph Hassoun | Samsung Electronics | Poster | — | — |
| Josh Romero | NVIDIA | Speaker | Scaling DL on the Summit Supercomputer | SlidesVideo |
| Joshua Bloom | UC Berkeley | Speaker | Towards Physics-informed ML Inference In Astrophysics | Video |
| Kunle Olukotun | SambaNova Systems & Stanford | Speaker | Accelerating Software 2.0 | Video |
| Lan Vu | VMware | Poster | — | — |
| Matei Zaharia | Databricks & Stanford | Speaker | Scaling Machine Learning Development with MLflow | SlidesVideo |
| Mayank Kumar | Tangent Solutions | Poster | — | — |
| Megan Kacholia | Speaker | ML at Google Scale | SlidesVideo | |
| Mingxing Tan | Poster | — | — | |
| Mohamed Fawzy | Meta | Speaker | Training Models at Facebook Scale with PyTorch | SlidesVideo |
| Mohammad Musa | Deepen AI | Poster | — | — |
| Naren Chittar | JPMorgan Chase | Poster | — | — |
| Navdeep Gill | H2O.ai | Poster | — | — |
| Oliver Zeigermann | embarc | Poster | — | — |
| Pete Skomoroch | Data Wrangling | Panelist | Panel: AI Products (MLOps, ML platforms, shipping AI products) | Video |
| Peter Bailis | Sisu & Stanford | Panelist | Panel: AI Products (MLOps, ML platforms, shipping AI products) | Video |
| Peter Mattson | Speaker | MLPerf: driving innovation by measuring performance | SlidesVideo | |
| Phoebe Wang | Shell | Poster | — | — |
| Raela Wang | Databricks | Poster | — | — |
| Richard Socher | Salesforce | Speaker | Impactful AI | — |
| Robert Munro | Machine Learning Consulting, LLC | Panelist | Panel: AI Products (MLOps, ML platforms, shipping AI products) | Video |
| Savin Goyal | Netflix | Speaker | Human-centric Approach to ML Infrastructure | SlidesVideo |
| Sean Lie | Cerebras | Speaker | Wafer-Scale ML | SlidesVideo |
| Seif Haridi | KTH & Logical Clocks | Poster | — | — |
| Uday Kurkure | VMware | Poster | — | — |
| Vinay Prabhu | UnifyID | Poster | — | — |
| Wes McKinney | Ursa Labs | Speaker | Apache Arrow: Present and Future | SlidesVideo |
| Yuxin Wu | Meta | Poster | — | — |