DBSCAN is a well-known density based clustering algorithm capable of discovering arbitrary shaped clusters and eliminating noise data. However, parallelization of DBSCAN is challenging as it exhibits ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.

Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...

The crystalline form of a drug affects properties such as its solubility, stability, dissolution rate, bioavailability and tabletability, and so understanding the crystalline state is crucial for many ...