Abstract: Scalability is a crucial aspect of designing efficient algorithms. Despite their prevalence, large-scale dynamic optimization problems are not well studied in the literature. This paper is ...

Fusion energy has always had a tritium problem. The fuel that powers every leading reactor design barely exists on Earth in usable quantities, and the best candidate for breeding it inside a reactor — ...

While the federal plan aims to drive AI adoption among Canadians, experts are skeptical it will foster public trust in the ...

Abstract: The Multi-Depot Capacitated Arc Routing Problem (MDCARP) is an important combinatorial optimization problem with wide applications in logistics. Large Scale MDCARP (LSMDCARP) often occurs in ...

Leaders in PR, marketing, and SEO share their hard-won GEO lessons — from messy measurement to cross-team strategy.

Last night I clicked on an MS NOW story about the Texas Senate race: James Talarico has a new ad — with millions behind it Texas Democrat James Talarico is jumping headlong into his Senate bid against ...

Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...

AI is giving elite security orgs new ways to automate red teaming, detection engineering, and vulnerability discovery. But ...

Beyond advanced mathematics or theoretical computing breakthroughs, PQC is about protecting the systems enterprises already depend on to operate securely at scale.

Shor’s algorithm for factoring RSA-2048 (and related problems like elliptic-curve discrete logs) has seen dramatic reductions ...

EU regulators preliminarily found Meta’s Facebook and Instagram design addictive, raising the prospect of app changes and a potential $12.1 billion fine. If you can only read one tech story a day, ...

Some, however, find that bridging fields opens new realms of possibility. Henry Kvinge, who trained as a mathematician but ...