Whether investigating an active intrusion, or just scanning for potential breaches, modern cybersecurity teams have never had more data at their disposal. Yet increasing the size and number of data ...

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

Good software habits apply to databases too. Trust in these little design tips to build a useful, rot-resistant database schema. It is a universal truth that everything in software eventually rots.

DNT is a professional-grade Python tool designed to batch-clean messy CSV datasets using configurable normalization rules stored in a YAML file. It provides a repeatable, testable, and auditable ...

Transformers have revolutionized natural language processing as the foundation of large language models (LLMs), excelling in modeling long-range dependencies through self-attention mechanisms. However ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi ...

Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada ...

ABSTRACT: This study explores the complex relationship between climate change and human development. The aim is to understand how climate change affects human development across countries, regions, ...