Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
The cohort was randomly divided into training and testing datasets in a 7:3 ratio, and multiple ML techniques were used to develop an algorithm for optimizing initial vancomycin dosing. The optimal ...
It seems at times harder than ever to break through the clutter of social media, but we've started seeing bands and other businesses and brands finding a way to game the algorithm to garner some ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
Abstract: Due to the fluctuation and intermittency of renewable energy generation, it can impact the variability of carbon emissions in the power system. This paper presents an analysis method that ...
Frustrated by YouTube feeding him Shorts and advertisements, PewDiePie set out to ‘fix’ the platform’s algorithm with his own AI. YouTube icon Felix ‘PewDiePie’ Kjellberg famously trained his own AI ...
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