Upcoming Colloquia Events

If you want to build a high-quality machine learning product, build a large, high-quality training set. Along with state-of-the-art results on benchmarks, these concepts have allowed our group and collaborators to build a range of state-of-the-art applications. This talk describes the theoretical and systems challenges that such applications create and some future directions.

In this talk I will introduce CrocodileDB, a resource-efficient database system that automatically optimizes deferment based on user-specification and workload prediction. CrocodileDB integrates new ways of specifying timing information, new query execution policies, new task schedulers, and new data loading schemes.