As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Neutrinos are very small, neutral subatomic particles that rarely interact with ordinary matter and are thus sometimes ...

Gonzalo Arce College of Engineering — Electrical and Computer Engineering arce@udel.edu Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...

In order to maintain a strong, diverse and substantial pool of applicants, our tuition rate is designed to make us competitive, especially with our peer institutions. While many students complete the ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Graphene is the thinnest material yet known, composed of a single layer of carbon atoms arranged in a hexagonal lattice. That structure gives it many unusual properties that hold great promise for ...

About half (53%) of Americans say they hear or read about Ozempic, Wegovy and similar drugs extremely or very often. Only about 6.9% of the total U.S. population buys health insurance through the ...

Like every other field, the field of remote sensing is undergoing one of the most transformative shifts in its history in this era of artificial ...

Supply- and Demand-Driven PCE Inflation updates data on the contributions to personal consumption expenditures (PCE) inflation from supply-driven versus demand-driven components. This tool is intended ...