Discover how AI is transforming marketing databases in 2026. Learn the top use cases like lead enrichment and how to overcome ...

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 ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and enables autonomous action. For decades, the database has been the silent partner ...

Background: Sepsis remains a major cause of mortality and morbidity worldwide. Recent studies suggest that gut microbiota-derived metabolites, such as α-hydroxybutyrate (α-HB), may play a critical ...

The amount of data and its complexity has been growing at a rapid clip and shows no sign of stopping. To contain this data, organizations have been introducing different types of database platforms ...

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...