Arm's answer to the NPU hype was to skip it entirely, instead focusing on improving AI targeted at the CPU and letting ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

Dynamic filtering is a technique that filters out unnecessary data in advance during the database query process. The core ...

AI workloads create an urgent need for compute and power efficiency improvements from the architecture stage forward.

Recently, Zhongkong Technology officially launched its latest time-series large model TPT2 (Time-series Pre-trained ...

AM Agency has announced the launch of its AI-enabled Google Business Profile optimization solution, available for local ...

Query-Execution-and-Optimization-Engine A lightweight, in-memory analytical database engine that processes CSV files using relational operators and query optimization techniques. This system ...

With the advent of graph data, graph databases have garnered significant research interest and efforts in recent years, especially with respect to graph query processing. There have been a vast suite ...

Current Implementation The query generation is handled in the generate_query node of the LangGraph workflow. It uses the LLM to generate search queries but sometimes falls back to generic patterns.

Citation: Liu J, Zhang Q and Zhang C (2025) Study of coal mine modified clean fracturing fluid and optimization of hydraulic fracturing sand adding process. Front.

Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves selecting the ...