Is there still a long-term game for SEO in AI search?

SEO isn’t going away, but the rules are shifting. Learn how to blend core tactics with AI search behaviors to stay ...
Morningstar

SELECT Announces Automated BigQuery Cost Optimization Early Access Program

Solution will combine a proven data platform visibility and automation engine with DoiT's market-leading depth of BigQuery customer experience. SANTA CLARA, Calif., April 16, 2026 /PRNewswire/ -- ...
Business Insider

Yuki Brings Real-Time Cost Optimization to BigQuery

Yuki Launches BigQuery Cost Optimization Platform, Eliminating 3-Year Commitments While Cutting BigQuery Spend by Up to 60% Yuki adds an autonomous optimization layer for BigQuery that routes every ...
Morningstar

Idera Announces General Availability of SQL Diagnostic Manager 14.0, Introducing AI-Powered Query and Workload Index Optimization for SQL Server

New AI capabilities help DBAs move from performance visibility to performance resolution—turning slow queries into actionable index recommendations in minutes HOUSTON, March 19, 2026 /PRNewswire/ -- ...
IEEE

Optimization-Based Automated Parking Trajectory Planning in Unstructured Environments With Efficient Obstacle Query

Abstract: Autonomous parking trajectory planning in unstructured environments with irregular obstacles must address the challenges posed by non-convex obstacle constraints. Due to the coupling between ...
marktechpost

How to Design an Advanced Tree-of-Thoughts Multi-Branch Reasoning Agent with Beam Search, Heuristic Scoring, and Depth-Limited Pruning

In this tutorial, we build an advanced Tree-of-Thoughts (ToT) multi-branch reasoning agent from scratch. Instead of relying on linear chain-of-thought reasoning, we design a system that generates ...
IEEE

Advancements in SQL Query Optimization: A Review of Join Order and Index Selection

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 ...
Scientific Research Publishing

Kaveh, A. and Zolghadr, A. (2016) A Novel Meta-Heuristic Algorithm: Tug of War Optimization. International Journal of Optimization in Civil Engineering, 6, 469-492.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Scientific Research Publishing

Hatamlou, A. (2013) Black Hole: A New Heuristic Optimization Approach for Data Clustering. Information Sciences, 222, 175-184.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...