Local AI models offer privacy and zero subscription costs, letting you run powerful models completely offline. Here's how to ...

Abstract: Heterogeneous Graph Neural Networks (HGNNs) aim to embed rich structural and semantic information of heterogeneous graphs into low-dimensional node representations. While HGNNs extend the ...

"If our solar system is indeed moving this fast, we need to question fundamental assumptions about the large-scale structure ...

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

This paper describes the eccentricity, amplitude, phase shift, angular momentum, polarization, radial path, and orbital ...