NSF award 2551614 · New York University

Collaborative Research: III: Graph-based Vector Databases, from Theory to Practice

Final report due

28 October 2030

in 1,471 days · The award ends on 30 June 2030.

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award ending 2030-06-30 · Research.gov
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Final report due28 Oct 2030in 1471 days
award ending 2030-06-30 · Research.gov
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Project outcomes report due28 Oct 2030in 1471 days
award ending 2030-06-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Oct 2030in 1471 days
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Award card

Award number: 2551614
Period of support: 15 Jul 2026 – 30 Jun 2030
Amount: $400,000
Awardee: New York University, NEW York, NY
Program: Info Integration & Informatics
Directorate: CSE

Abstract

In the last several years, machine learning and artificial intelligence have transformed how computers catalog and search for documents, images, videos, and other media. In particular, modern machine learning systems are trained to convert media items to so-called "vector embeddings", which are short lists of numerical values that encode key information about an item. While vector embeddings would not be…

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