Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Learn how to use the Relative Vigor Index (RVI) to measure trend strength and smooth price fluctuations in trading, with an ...

Some data centers being announced today may take a lot longer to come online than you might expect. Ian shares a chart that ...

Discover how to replace traditional Excel chart objects with clean, customizable in-cell visualizations using a single ...

On June 23, at the 17th Annual Meeting of the New Champions (Summer Davos 2026) hosted by the World Economic Forum in Dalian, Gong Yingying, Founder and Chairlady of Yidu Tech, participated in the ...

An employee pulls out a server rack shelf at the rear of a Trainium3 UltraServer at an Amazon Web Services QA lab in Austin, Texas, on February 3, 2026. Tech titan Amazon is working to step out of ...

Abstract: Graph data analysis has been used in various real-world applications to improve services or scientific research, which, however, may expose sensitive personal information. Differential ...

Learning has never been more important for data and AI professionals. As AI rapidly shapes how organizations build, analyze and act on data, staying current is no longer optional; it’s essential for ...

Apple and Samsung may not need glucose-sensing smartwatches to compete in health AI. The next race is turning CGM data into useful advice.