An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Digital strategist who coined 'Answer Engine Optimization' says SEO and GEO each address only one-third of how AI ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This problem has been widely studied in the context of graph stream ...

Abstract: Graph cut algorithms are popular in optimization tasks related to min-cut and max-flow problems. However, modern FPGA graph cut algorithm accelerators still need performance and memory ...

Here’s a scary scenario: You’ve been put in charge of air traffic control at Newark airport near New York. You need to make sure every plane can taxi between the runway and its gate without hitting ...

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

Swift Graphs library provides a composable and extensible foundation for working with graphs. Whether you're constructing binary trees, performing complex graph traversals, or optimizing pathfinding ...

The Graph Mining team within Google Research has introduced TeraHAC to address the challenge of clustering extremely large datasets with hundreds of billions of data points, primarily focusing on ...

Welcome to my 100 days of Code in C++. What's the 100 Days of Code Challenge? For those unfamiliar, it's a commitment to code for at least an hour every day for the next 100 days. Whether it's a small ...