Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

Meta is giving Instagram users a rare glimpse into why certain posts are showing up on their Reels, the platform’s feed of algorithmically curated videos. Starting today, users will now see a list of ...

Motivated by "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" by Jiang et. al. 2017 [1]. In this project: Implement three state-of-art continous deep ...

Fast but long, partly tabular version of deterministic Miller-Rabin up to 2^64 #1561 Open #1567 Artoria2e5 ...

SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

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 ...