A viral post by a MAANG engineer has reignited a growing debate in tech hiring. As AI tools become part of everyday coding, ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

The primary challenge in earthquake emergency response is the effective dispatch of large-scale rescue teams to disaster areas after an earthquake disaster occurs, especially as this often involves ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to solve basic math problems – such as lining up numbers to add, starting with ...

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 a standard paper assignment setting, a set $\mathcal{P}$ of $n^{(p)}$ papers needs to be assigned to a set $\mathcal{R}$ of $n^{(r)}$ reviewers. To ensure each ...

Abstract: The growth of international trade has accelerated the development of waterway transportation, thereby increasing the demand for the construction of container terminals. Optimizing the Berth ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

The problem of order allocation belongs to a category of combinatorial optimization problems where orders are allocated to machines for production. Each order is assigned to a single machine, while ...

The challenge of optimizing gate assignments is a complex puzzle with many moving parts. New algorithms are being developed to tackle this, leveraging advancements in AI and optimization techniques.