Matroid & Stanford
Introduction to ScaledML 2020
Allen Institute for Artificial Intelligence
AI and the Future of Humanity
Matroid & Stanford
Turning Machine Learning Research into Products for Industry
ML at Google Scale
Tesla
AI for Full Self-Driving
OpenAI
The Power of Large-scale Generative Models and RL
Ursa Labs
Apache Arrow: Present and Future
Netflix
Human-centric Approach to ML Infrastructure
AI Products & MLOps
Pete Skomoroch, Jennifer Prendki, Alyona Medelyan, Robert Munro, Peter Bailis
Asimov
Optimizing the Design of Genetic Programs for Living Cells
Training Models at Facebook Scale with PyTorch
Groq
Ditching the 'C' in CPU: Groq's Tensor Streaming Processor (TM)
UC Berkeley
ML for Systems
Microsoft
Using MLOps to Bring ML to Production
Keras: The Next Five Years
SambaNova Systems & Stanford
Accelerating Software 2.0
UC Berkeley
Towards Physics-informed ML Inference In Astrophysics
Databricks & Stanford
Scaling Machine Learning Development with MLflow
Intel
Moore's Law in the age of AI Chips
NVIDIA
Scaling DL on the Summit Supercomputer
MLPerf: Driving Innovation by Measuring Performance
Cerebras Systems
Wafer-Scale ML
