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 ...

This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are stochastic in ...

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 ...

In this video, we explore why Spotify's shuffle feature isn't truly random and operates based on an algorithm. We discuss the reasons behind our preferences for non-random shuffle, the results of an ...

If you’ve ever shuffled a deck of playing cards, you’ve most likely created a unique deck. That is, you’re probably the only person who has ever arranged the cards in precisely that order. Although ...

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 the easiest pieces first. But this kind of sorting has a cost.

Hi, thank you for sharing the code for VideoSAGE — really appreciate your contribution! I noticed that the results vary across different runs, even when I fix all random seeds. I added the following ...

Zipalertinib in Patients With Epidermal Growth Factor Receptor Exon 20 Insertion-Positive Non–Small Cell Lung Cancer Previously Treated With Platinum-Based Chemotherapy With or Without Amivantamab ...

One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.

Color prediction algorithms are widely used in gaming and probability-based applications, generating sequences based on mathematical models or randomness. Understanding their inner workings often ...