Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Abstract: The multiple-choice knapsack problem (MCKP) is a classic NP-hard combinatorial optimization problem. Motivated by several significant real-world applications, this work investigates a novel ...

Financial services workers, medical students and others working in highly competitive environments are using so-called “smart drugs” to enhance cognitive performance. Do they actually work? Some of ...

In 1998, I unintentionally created a racially biased artificial intelligence algorithm. There are lessons in that story that resonate even more strongly today. The systems often fail on women of color ...

A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach. 1. On Monday, July 19, 2021, in the middle of another strange pandemic summer, a leading computer ...

Picture above is taken from Resident Evil 4. The player must organize the inventory to fit important items (unlike most games, it doesn't have an infinite pocket). This algorithm follows the same ...