Abstract: Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data. However, GNN-based diagnosis of neurological disorders, such as ...

Palantir leads with Foundry integrating enterprise data and AI with advantage, strong growth and valuation limits noted. See ...

Save time on status decks with a reusable Excel timeline chart. Data lives in a table, so new milestones update the timeline ...

Learn to chart multiple data sets on one graph in Excel with this concise two-minute tutorial. Explore how to utilize more ...

Microsoft Office has been around since the olden days, but that doesn't mean all of its features are well-known. Here are ...

Hard-coded numbers (also known as constants) being mistaken for formulas is a serious audit risk because they can lead to ...

The U.S. is home to nine companies with a market capitalization of $1 trillion or more. Many of them have crossed the $2 trillion, $3 trillion, and $4 trillion milestones, but artificial intelligence ...

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...

Brex reports that proper invoicing is crucial for timely payments, outlining essential components and best practices to ...

At Microsoft’s Ignite event, the company unveiled numerous ways to create, integrate, and manage AI-powered agents into its ...