About Machine Learning and Systems (MLSys)

The Conference on Machine Learning and Systems targets research at the intersection of machine learning and systems. The conference aims to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. Topics include:

Computer architecture

Computer networks

Computer security

Databases

Design automation

Embedded & real-time systems

High-performance computing

Mobile computing

Measurement & perf. analysis

Operating systems

Programming languages

Software engineering

Read the whitepaper to learn more.