Abstract: Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have ...

Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Read More: AI Data Centers Are Sending Consumer Electric Bills Soaring The monitor’s analysis for the first time quantifies the cost of making data centers flexible as a way to extract more use out of ...

Purpose: We developed a machine learning framework to predict the presence of tertiary lymphoid structures (TLSs) within tumors in patients with hepatocellular carcinoma (HCC). This framework uses ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

EIA highlighted that a major contributor to the revised outlook is the expansion of data centers, particularly those supporting AI workloads In sum — what to know: AI fuels surging power demand – U.S.

(TNS) — An influential DFL (Democratic-Farmer-Labor Party) state legislator wants tougher laws on data centers to regulate their water use and require a 65% carbon-free energy supply as the first crop ...