New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...

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

Abstract: Graph Contrastive Learning (GCL) has emerged as the foremost approach for self-supervised learning on graph-structured data. GCL reduces reliance on labeled data by learning robust ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

The rushed and uneven rollout of A.I. has created a fog in which it is tempting to conclude that there is nothing to see here ...

ESPN’s Kirk Herbstreit was clearly not a fan of the pants that Oklahoma kicker Tate Sandell wore in the No. 18 Sooners’ 33-27 win over No. 14 Tennessee on Saturday night. Sandell hit four field goals ...

A data structure is a particular way storing and organizing data in a computer for efficient access and modification. Data structures are designed for a specific purpose. Examples include arrays, ...

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...

In the pre-draft process, one of the things that led to Bryce Young being favored as the number one pick, which the Carolina Panthers eventually used on him in 2023, was his creativity out of ...

As Americans earn nondegree credentials in droves, many are paying for these programs out of pocket, according to a new report from the Pew Charitable Trusts. The report, released Thursday, analyzed ...