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

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: In recent years, there has been a growing interest in the application of deep reinforcement learning (DRL) techniques on query execution plan generation. Although current DRL-based query ...

Abstract: Data analysts nowadays are keen to have analytical capabilities involving deep learning (DL). Prediction queries, which combine relational operations with DL models to analyze multi-modal ...

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 ...