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 ...

This project aims to design a join sampling framework that enables very fast approximate queries in open-source database systems. Project is Not Currently Available This project has reached full ...

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 ...

Enterprise technology requires mainframers to move with precision, excellent timing, and up-to-date skills—both technical know-how and soft skills. This September for National Learning and Development ...

A total of 42 common targets were identified between α-HB and sepsis, with significant enrichment in pathways related to immune response, hypoxia, and cancer. Machine learning-based feature selection ...

Development and validation of a webcam-based tool to assess tongue motility and its correlation with speech intelligibility and swallowing following tongue cancer surgery. Time Window AUC Brier Score ...