Matroid & Stanford
Introduction to ScaledML 2019
UC Berkeley & Google
Domain Specific Architecture for Deep Neural Networks
Matroid & Stanford
Scaling Computer Vision Across AI Chips and the Cloud
PyTorch at Facebook Scale
Intel
Performance Software for Deep Learning
NVIDIA
Inside NVIDIA's AI Infrastructure for Self-Driving Cars
Microsoft
Towards More Automated and Ethical Machine Learning
NVIDIA & Stanford
Accelerating AI
Running ML Models in less than 100KB on Embedded Devices
Graphcore
Design Considerations for Large Learning Machines
UC Berkeley
AI and Security: Lessons and Future Directions
Carnegie Mellon University
Towards a Conscious AI: A Computer Architecture inspired by Neuroscience
Databricks & Stanford
MLFlow: An Introduction
Databricks & UC Berkeley
AI and Systems at RISELabs
Oracle
Computer Vision Applications using Matroid at Oracle
AI at Scale at Facebook
UC Santa Cruz
Responsible Data Science
OpenAI
GPT-2
