Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

According to God of Prompt, dynamic per-query scaling in AI models can render $100M large-scale training runs obsolete, allowing companies to deploy smaller, more efficient models that dynamically ...

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...

Have you ever spent hours fine-tuning a Power Query workflow, only to have it break because a column name changed? It’s a frustratingly common scenario for anyone working with dynamic or external data ...

Abstract: In the era of data-driven decision-making, efficiently interacting with large databases is crucial for organizations across various sectors. Traditional SQL query generation methods often ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

1 Faculty of Science, Ontario Tech University, Oshawa, Canada. 2 Faculty of Business and IT, Ontario Tech University, Oshawa, Canada. 3 Legion Development Group, Oshawa, Canada. This study presents a ...

Abstract: In streaming systems with a discrete CPU-GPU architecture, leveraging the strengths of both processing units can significantly improve query performance. Existing studies assign entire ...

The rapid expansion of AI systems and large language models has created a complex landscape where each model presents unique tradeoffs in performance, cost, and speed. Martian’s model router addresses ...