Proprietary NLP algorithms and multi-source data deliver the industry's most granular view of AI search behavior by ...

How much of the energy consumed in an AI chip is spent doing something useful? This question affects everything from software ...

Every time someone orders food online, checks exam results, or streams a video, new data is created and saved. Behind these activities are large databases that store millions of records. These ...

Mission: Deliver a modern database that seamlessly integrates traditional RDBMS capabilities with cutting-edge features like vector search, temporal queries, adaptive compression, and comprehensive ...

Abstract: Structured database systems, which organize business data, widely adopt data structures like B +-tree to speed up selective queries. However, users in many analytical scenarios increasingly ...

Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...