Engineers at the University of California have developed a new data structure and compression technique that enables the ...

Abstract: Interoperability among diverse data standards is crucial for advancing digital technologies in smart manufacturing and transportation. This paper studies and presents a hybrid AI framework ...

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.