P vs. NP asks: are these two classes actually the same? If P = NP, then every “hard” problem is secretly fast to solve; we ...

A bright yellow blob with no brain, no neurons, and no central nervous system has done something that sounds impossible: it ...

Illustration: Dan Goldfarb / The Athletic; photos: Jared C. Tilton / Getty Images Brian Campbell isn’t offended by the question, but he knows it’s coming: What’s it like to compete as the shortest ...

In an era of abundant AI processing, "integral thinking" — the human ability to synthesize insights across diverse domains — is the new essential strategic scarcity.

Fuzzy optimization for shortest path problems addresses uncertainty in network weights by representing arc costs with fuzzy numbers rather than crisp values. By extending classical algorithms—such as ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

The All-Pairs Shortest Paths Problem, Seeking the Shortest Distance Between Every Node Pair in a Graph, is Efficiently Solved by Johnson's Algorithm for All Pairs of a Vertext, Bellman-Ford for ...

Ran Duan, Jiayi Mao, Xiao Mao, Xinkai Shu, Longhui Yin (2025): Breaking the Sorting Barrier for Directed Single-Source Shortest Paths“. 57th Annual ACM Symposium on Theory of Computing (STOC). Faster ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

Abstract: Graph theory is a critical field in computer science and mathematics, particularly in solving shortest path problems. In this paper, a comparative analysis of Breadth-First Search (BFS) and ...

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 ...