Skip to main content Skip to secondary navigation
Main content start
Principal Investigator

Matei Zaharia

Projects

  • LOA/Fixy

    Learned Observation Assertions is an abstraction designed to find errors in ML deployment pipelines with as little manual specification of error types as possible. Fixy is a system for finding errors in perception data, implementing the LOA abstraction.
  • Weld

    A runtime for improving the performance of data-intensive applications. It optimizes across libraries and functions by expressing the core computations in libraries using a small common intermediate representation, similar to CUDA and OpenCL.
  • NoScope

    A system for querying videos at scale using neural networks and for accelerating neural network inference by over 1000× by exploiting model specialization and dynamic cascades.

Contact

Publications