Workshop on AI Systems

A new area is emerging at the intersection of artificial intelligence, machine learning, and systems design. This birth is driven by the explosive growth of diverse applications of ML in production, the continued growth in data volume, and the complexity of large-scale learning systems. The goal of this workshop is to bring together experts working at the crossroads of machine learning, system design and software engineering to explore the challenges faced when building practical large-scale ML systems. In particular, we aim to elicit new connections among these diverse fields, and identify tools, best practices and design principles. We also want to think about how to do research in this area and properly evaluate it. The workshop will cover ML and AI platforms and algorithm toolkits, as well as dive into machine learning-focused developments in distributed learning platforms, programming languages, data structures, GPU processing, and other topics.

This workshop will follow the successful model we have previously run with the ML Systems Workshops @ NeurIPS and ICML, and SOSP

Call for Posters

We invite participation in the AI Systems Workshop which will be held in conjunction with SOSP 2019 in Huntsville, Ontario, Canada.

Submission Details: See the CFP

Organizing Committee

Sarah Bird, Microsoft slbird@microsoft.com
Dan Crankshaw, Microsoft Research dacranks@microsoft.com
Garth Gibson, Vector Institute and Carnegie Mellon University, garth.gibson@cs.cmu.edu
Joseph Gonzalez, UC Berkeley, jegonzal@berkeley.edu
Aparna Lakshmi Ratan, Facebook, aparnal@fb.com
Siddhartha Sen, Microsoft Research, sidsen@microsoft.com

AI Systems