Workshop on Systems for ML
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.
Call for Papers
We invite participation in the Systems for ML Workshop which will be held in conjunction with NIPS 2018 in Montreal, Canada.
- Submission Deadline: October 19, 2018
- Author Notification Deadline: November 9, 2018
- Submission Details: See the CFP