Stanford MLSys Seminar Series

Machine learning is driving exciting changes and progress in computing. What does the ubiquity of machine learning mean for how people build and deploy systems and applications? What challenges does industry face when deploying machine learning systems in the real world, and how can academia rise to meet those challenges? In this seminar series, we want to take a look at the frontier of machine learning systems, and how machine learning changes the modern programming stack. Our goal is to help curate a curriculum of awesome work in ML systems to help drive research focus to interesting questions.