Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

OceanBase today announced the release of OceanBase AI Database, a comprehensive portfolio designed to enable enterprises to ...

In production on millions of boxes and the payoff is a 25% reduction in machines needed for some inference workloads ...

GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the Associative Processing Unit (APU), a paradigm shift in artificial ...

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

A new study published in Nutritional Neuroscience provides evidence that eating a diet high in ultra-processed foods tends to ...

As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...

Explore the benefits of local AI, from 24/7 continuous task processing to securing your access against rising hardware costs ...

In database system development using Java, a common performance bottleneck is the "sequential registration of data." When handling large volumes of data ranging from thousands to tens of thousands of ...

Abstract: Approximate Nearest Neighbor Search (ANNS) is a fundamental operation in vector databases, enabling efficient similarity search in high-dimensional spaces. While dense ANNS has been ...