A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los ...

Discover how information flow interception works using smart packet inspection, network design, and real-time detection ...

As a technology leader, having a strong and dedicated partner to help you achieve your company’s data goals will improve your ...

A toolkit for incorporating multimodal data on top of text data for classification and regression tasks. It uses HuggingFace transformers as the base model for text features. The toolkit adds a ...

This is the Spring Cloud Data Flow Dashboard user interface (UI). The UI uses Angular. Source code documentation is available at https://cloud.spring.io/spring-cloud ...

In this paper, we propose a framework for generating test data from software specifications. The selected specification is Unified Modeling Language (UML) state machine diagram. UML state machine ...

Topological data analysis (TDA) is a newly emerging and powerful tool for understanding the medium-range structure ordering of multiscale data. This study investigates the density anomalies observed ...

data modeling (including relational databases and big data) has traditionally used Entity-Relationship (ER) diagrams to represent structural characteristics of data. However, ER diagrams lack the ...

GitHub and Microsoft, GitHub’s corporate parent, are joining the steering committee for MCP, Anthropic’s standard for connecting AI models to the systems where data resides. The announcement ...