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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.
Advisees
- Ph.D. Student
- Ph.D. Student
- Ph.D. Student