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SCALEDML MEDIA ARCHIVE - 2019

March 27 - 28, 2019

Learn from the best minds in the machine learning community.

REZA ZADEH

Matroid & Stanford

Introduction to ScaledML 2019

DAVID PATTERSON

UC Berkeley & Google

Domain Specific Architecture for Deep Neural Networks

REZA ZADEH

Matroid & Stanford

Scaling Computer Vision Across AI Chips and the Cloud

DMYTRO DZHULGAKOV

Facebook

PyTorch at Facebook Scale

WEI LI

Intel

Performance Software for Deep Learning

CLÉMENT FARABET

NVIDIA

Inside NVIDIA's AI Infrastructure for Self-Driving Cars

NICOLO FUSI

Microsoft

Towards More Automated and Ethical Machine Learning

BILL DALLY

NVIDIA & Stanford

Accelerating AI

PETE WARDEN

Google

Running ML Models in less than 100KB on Embedded Devices

SIMON KNOWLES

Graphcore

Design Considerations for Large Learning Machines

DAWN SONG

UC Berkeley

AI and Security: Lessons and Future Directions

MANUEL BLUM

Carnegie Mellon University

Towards a Conscious AI: A Computer Architecture inspired by Neuroscience

MATEI ZAHARIA

Databricks & Stanford

MLFlow: An Introduction

ION STOICA

Databricks & UC Berkeley

AI and Systems at RISELabs

SUPREET OBEROI

Oracle

Computer Vision Applications using Matroid at Oracle

SRINIVAS NARAYANAN

Facebook

AI at Scale at Facebook

LISE GETOOR

UC Santa Cruz

Responsible Data Science

ILYA SUTSKEVER

OpenAI

GPT-2

Organized by