SysML@Princeton is an interdisciplinary research group focused on developing next-generation AI/ML systems that are efficient, accurate, reliable, scalable, and secure. As a collaboration between both systems and machine learning researchers, our work considers all parts of the compute stack, spanning the design of AI/ML algorithms and pipelines to runtime systems for training/inference to intelligent applications of ML to tackle core systems challenges. We are a part of the broader AI^2 initiative in Princeton's AI Lab.
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Check out our publications!
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Check out the research topics that we work on!
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Check out our team!
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