SCaledml media archive - 2020

February 26 - 27, 2020

Learn from the best minds in the machine learning community.

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REZA ZADEH

Matroid & Stanford

Introduction to ScaledML 2020

 

OREN ETZIONI

Allen Institute for Artificial Intelligence

AI and the Future of Humanity

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REZA ZADEH

Matroid & Stanford

Turning Machine Learning Research into Products for Industry

MEGAN KACHOLIA

Google

ML at Google Scale

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ANDREJ KARPATHY

Tesla

AI for Full Self-Driving

 

ILYA SUTSKEVER

OpenAI

The Power of Large-scale Generative Models and RL

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WES MCKINNEY

Ursa Labs

Apache Arrow: Present and Future

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SAVIN GOYAL

Netflix

Human-centric Approach to ML Infrastructure

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PANEL DISCUSSION

AI Products & MLOps

Pete Skomoroch, Jennifer Prendki, Alyona Medelyan, Robert Munro, Peter Bailis

JOE ISAACSON

Asimov

Optimizing the Design of Genetic Programs for Living Cells

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MOHAMED FAWZY

Facebook

Training Models at Facebook Scale with PyTorch

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DENNIS ABTS

Groq

Ditching the 'C' in CPU: Groq's Tensor Streaming Processor (TM)

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ION STOICA

UC Berkeley

ML for Systems

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DAVID ARONCHICK

Microsoft

Using MLOps to Bring ML to Production

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FRANÇOIS CHOLLET

Google

Keras: The Next Five Years

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KUNLE OLUKOTUN

SambaNova Systems & Stanford

Accelerating Software 2.0

JOSHUA BLOOM

UC Berkeley

Towards Physics-informed ML Inference In Astrophysics

MATEI ZAHARIA

Databricks & Stanford

Scaling Machine Learning Development with MLflow

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JIM KELLER

Intel

Moore's Law in the age of AI Chips

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JOSH ROMERO

NVIDIA

Scaling DL on the Summit Supercomputer

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PETER MATTSON

Google

MLPerf: Driving Innovation by Measuring Performance

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SEAN LIE

Cerebras Systems

Wafer-Scale ML

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