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Found 5 papers, 0 papers with code
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data
Applications increasingly leverage mixed-modality data, and must jointly search over vector data, such as embedded images, text and video, as well as structured data, such as attributes and keywords.
Machine Learning with DBOS
We recently proposed a new cluster operating system stack, DBOS, centered on a DBMS.
Getting Genetic Ancestry Right for Science and Society
There is a scientific and ethical imperative to embrace a multidimensional, continuous view of ancestry and move away from continental ancestry categories
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference
First, Willump automatically cascades feature computation for classification queries: Willump classifies most data inputs using only high-value, low-cost features selected through empirical observations of ML model performance, improving query performance by up to 5x without statistically significant accuracy loss.
