Multiple machine learning models, such as Logistic Regression, Random Forest, Gradient Boosting, and Voting Classifier ... Figure 1 outlines the study flowchart. Both centers adhered to identical ...

A judge has dismissed a lawsuit challenging Georgia’s electronic voting machines, citing no evidence of harm from the technology. Zolnierek Getty Images/iStockphoto A federal court judge has ...

Scanlan said as cities and towns using the new voting machines report their experiences, alterations can be made to resolve problems that surface. However, he said, the bottom line is when lines ...

President Donald Trump’s plan to overhaul elections could hurl 2026 into turmoil by forcing states to hand-count ballots or scramble to spend millions of dollars on voting systems that aren’t ...

did not have available space for holding voting machines during a period of voting prior to election day. In the bill, circuit clerks can now use buildings or rooms adjacent to their current ...

The St. Louis County auditor did their public accuracy test on their voting machines today ahead of the special election for unorganized township 63-17. County staff and election judges were there ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Combining this information with current and historical satellite data, they trained a machine-learning algorithm to assess the history and extent of salt patches throughout the region. Sarupria ...