Regex for SEO: The simple language that powers AI and data analysis

From Google Search Console to LLMs, regex helps structure and interpret text data efficiently. See how it connects SEO and AI ...

Fresche Solutions Launches Db2 Web Query Alternative, Bridging IBM i Data with Modern Microsoft BI and AI

Fresche Solutions today announced the launch of the Fresche Db2 Analytics Accelerator, an innovative solution designed to ...
IEEE

Enhancing Multi-Tenant Database Resource Allocation with Active Learning-Driven Multi-Objective Optimization

Abstract: We present an enhanced approach for MultiTenant Database Resource Management Systems (MTDRMS) that integrates Active Learning (AL) with MultiObjective Optimization Algorithms (MOOA). Our ...
IEEE

Deep Reinforcement Learning-Enhanced Query Optimization Engine for Distributed and Federated Database Management Systems

Abstract: Traditional query optimization struggles in distributed and federated database environments. The challenges come from having different types of data sources, network delays, and changing ...
Frontiers

Left-deep join order selection with higher-order unconstrained binary optimization on quantum computers

Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...
dailyenergyinsider

EEI data shows member companies continue investing billions to optimize nation’s grid

Edison Electric Institute (EEI) member companies are on track to invest nearly $208 billion this year to make the energy grid smarter, stronger, more efficient, and extra secure, according to newly ...
GitHub

Basic Issue: Missing Database Query Optimization (N+1 Query Problem)

Description: The codebase lacks systematic use of select_related() and prefetch_related() for database query optimization. While I found one instance in the Routine.date_sequence method with proper ...
GitHub

QUERY: optimize.fmin_slsqp: constraints are being ignored

I am working on a turbine blade shape optimization using scipy.slsqp, but I am running into some unexpected issues. The optimization objective is to reduce the total pressure loss, and the constraint ...