The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

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 ...

For the past five years, the USA TODAY Network has collected and analyzed police misconduct records from every corner of New York, made public in 2020 thanks to a change in state law. We weren't just ...

Dive into the concept of Local Response Normalization (LRN) in deep learning. This video breaks down its role in neural networks and how it helps improve model performance. The Lisa Cook Case Could Be ...

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 ...

A customer relationship management (CRM) database is a resource that contains all customer data that all departments within an organization can access. These data include customer information, sales ...

Abstract: Labeling large datasets for constructing a text normalization system is cumbersome and time-consuming. Although some self-supervised learning models can reduce the amount of training data ...

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 ...