RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Abstract: Approximate nearest neighbor search (ANNS) is the key operation in vector databases. Graph-based ANNS algorithms are among the best-performing and most used methods on CPUs. However, the ...

Abstract: Differentially private graph analysis is a powerful tool for deriving insights from diverse graph data while protecting individual information. Designing private analytic algorithms for ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...