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Within days — perhaps even hours — after South Carolina and Clemson wrap up their 2025 regular season at Williams-Brice Stadium, construction crews will descend upon the Gamecocks’ football stadium ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

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 ...

Abstract: Soft clustering algorithms based on fuzzy C-means (FCM) have been extensively applied to complex data analysis. However, existing FCM variants still encounter key limitations: a large number ...

Astronomers use brokers to identify which signals to pursue in an endless stream of alerts. Looking up at the stars at night, it may not be obvious that the universe is constantly changing. But it is: ...

Abstract: In this paper, we develop the notion of the difference of evidence lower bounds (DELBO), based on which an efficient score algorithm is presented to implement feature selection on latent ...

Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...