X is boosting posts among mutual followers after finding that relationship data was missing from its algorithm, exposing the gap between predicting engagement and creating conversations people ...

This isn't going to end well, is it?

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

The graph coloring problem involves coloring the nodes of a graph using the minimum number of colors such that no two adjacent nodes share the same color. This NP-hard problem has various real-world ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

🧪 Sample Input to Test Part 1: Basic Graph with Directed Edges Enter the number of vertex and edges in the graph: 5 6 0 1 1 0 2 1 1 3 1 2 3 1 2 4 1 3 4 1 Part 2 ...

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 ...

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...