The China Unicom Data Science and Artificial Intelligence Research Institute recently launched the industry's first 'Large Model Selection Manual' on the Yuanjing MaaS platform, providing AI ...

Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free ...

A digital atlas of every cell in a developing marine worm reveals how networks across the body coordinate sensing and movement, and provides insights into the evolution of the nervous system.

The second fact is that the database model diagram used (e.g., ERD) should be designed to fit all possible data according to the problem specification, not data to fit the designed database model.

This process uses the ER model of database to validate the design of database and the state transition diagram is used for various progressions. The testing is done through generating the prolog ...

This paper introduces procedures which facilitate the development of and the linking between modular data processing operations into different and versatile system solutions. Based on the concept of ...

Read Article on data modeling tools you should know.Data modeling is a technique for making a data model for the information to be stored in a data set.

We want to discuss the fundamentals of sgkit's design choices and data model early on, and it would be helpful to have a figure to clarify these. The data model diagram from the docs seems like a ...