Abstract: Scientific and data science applications are becoming more complex, with increasingly demanding computational and memory requirements during execution. Modern high performance computing (HPC ...

Sorting algorithms are a common exercise for new programmers, and for good reason: they introduce many programming fundamentals at once, including loops and conditionals, arrays and lists, comparisons ...

This camper was able to pass the tests but their algorithm didn't perform a swap of the smallest element and the first unsorted element. def selection_sort(items ...

Listen up! Netflix is officially diving into the podcast biz: The video-streaming giant inked a deal with Spotify to bring a batch of top original podcasts, including from Bill Simmons’ The Ringer, to ...

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 ...

Copyright: © 2025 The Authors. Published by Elsevier Ltd. SGLT2i (n = 57,749) and DPP4i (n = 87,807) initiations were identified amongst people of White (n = 114,287 ...

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 library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...