Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

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

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 ...

Power demand from US data centers is set to surge to 106 gigawatts by 2035, according to BloombergNEF, a 36% increase from the research provider’s previous outlook in April. The upward revision in ...

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 ...

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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 ...

KSHB 41 reporter Isabella Ledonne covers issues surrounding government accountability, solutions and consumer advocacy. Share your story with Isabella. Data centers are massive projects that are an ...

After two and a half years we have enough data to form a clearer picture about who is using AI, what they are using it for, what they think about it, and what it means for learning. What do students ...

You can lead teachers to a technology tool, but can you make them use it? Nudging teachers into the habit of exploring their students’ data may help teachers and students get more out of learning ...