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 ...

A lightweight, in-memory analytical database engine that processes CSV files using relational operators and query optimization techniques. This system implements core database concepts including the ...

Abstract: 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 ...

The current query generation system sometimes produces generic fallback queries (e.g., "Tell me more about...") instead of optimized search terms that would yield better results. The query generation ...

The complex geological conditions of coal occurrence (Fengyun et al., 2020; Song et al., 2021) generally show the characteristics of the coal seam, including low hardness, soft structure, rich high ...

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