MLGO), today announced the development of an innovative hybrid algorithm that combines the advantages of classical and quantum computing to optimize Multi-Query Optimization (MQO) problems.

MLGO), announced a focus on addressing the efficiency bottlenecks in blockchain storage by introducing the Archimedes Optimization Algorithm (AOA) into distributed storage architecture.

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

Yuxing Chen successfully defended his doctoral thesis titled Performance Tuning and Query Optimization for Big Data Management ... we research the size bound and the worst-case optimal join algorithm ...

It's a balancing act between consistency and performance, which, in the end, applies to any distributed ... workload optimization, and bringing improved data ingestion, as well as query execution ...

and it has applications in many fields such as database query optimization, machine learning algorithms, and network routing. The core of the MQO problem lies in how to effectively handle multiple ...