Neural Multi-Modal Semantic Search Engines

NEUDB

Neural Multi-Modal Semantic Search Engines

The goal is to develop a prototype query processing system, equipped with new algorithms for efficient data access and join operations, leveraging the advantages of both machine learning models and traditional database methods, to achieve fast and accurate query execution on multiple data formats.

Status
Active
Start Date
End Date
Type
Services
Responsible
Georgia Koutrika