The future of urban green space might be written in code, according to research in the International Journal of ...
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Online Set Cover and Load Balancing are central problems in online optimization, and there is a long line of work on developing algorithms for these problems with convex objectives. Although we know ...
Abstract: The Traveling Salesman Problem (TSP) is a widely studied NP-complete optimization challenge with significant theoretical and practical implications. This study proposes a hybrid ...
America’s cost-of-living problem is simple math: Inflation spiked several years ago and paychecks haven’t had enough time to catch up. The latest jobs report revealed Tuesday that the problem got even ...
The best way to fix Americans’ cost-of-living problem is to give workers bigger raises, Federal Reserve Chair Jerome Powell said last week. The problem: That solution looks broken, too. The US job ...
We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...
Semperis recently unveiled results from a global ransomware study underscoring that the majority of ransomware attacks continue to occur on holidays and weekends, when cybersecurity staffing is ...
Abstract: As an evolving frontier in the application of uncrewed aerial vehicles (UAVs), the incorporation of labor division intelligence from natural biological groups into UAV swarms is garnering ...