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 ...

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our agents “fix” themselves?

Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...

According to Jeff Dean on Twitter, concrete examples of various AI performance optimization techniques have been provided, including high-level descriptions from a 2001 set of changes. These examples ...

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...

Search Engine Optimization (SEO) has been a cornerstone of digital marketing for over two decades, evolving through numerous algorithm updates and technological shifts. However, the rise of Artificial ...

ABSTRACT: This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of ...