Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

Find out how and why mathematics is used in microeconomics, its limitations, and the math skills that economics students need.

Abstract: Neural operators, such as graph neural operators (GNOs) and Fourier neural operators (FNOs), directly learn the mapping from any functional parametric dependence to the solution and have ...

Abstract: Social graphs are essential for various data analysis, yet their direct publication introduces significant privacy risks due to the sensitive nature of their information. To mitigate these ...

Building on Graph Neural Controlled Differential Equations, this repository introduces Permutation Equivariant Graph Neural CDEs, which project Graph Neural CDEs onto permutation equivariant function ...