The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...

Syllabus: The NTA has put the official JEE Main 2026 Syllabus online on their website: jeemain.nta.nic.in. If you're planning ...

Katanemo's new Arch-Function LLMs promise 12x faster function-calling capabilities, empowering enterprises to build ultra-fast, cost-effective agentic AI applications.

In the new paper, Maynard and Guth focus on a new limitation of Dirichlet polynomials. These are special series of complex numbers that many believe are of the same type as the function involved ...

1 Introduction Graph neural networks have developed rapidly in node representation learning and graph data mining in recent years. The reason why we focus on the study of graph neural networks is that ...

2.2. Related work: modeling true phase using local polynomial function Mathematical functions are commonly employed to model the underlying true phase data, transforming the unwrapping problem into a ...

The paper describes an application that allows to visualize four-dimensional graphs of a complex variable function. Three coordinates of the graph are Cartesian, and fourth is the parametric ...

LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order ...