Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

Feb 17 Dynamic programming 6.1, 6.2 Feb 19 Dynamic programming: subset sum 6.4 5 out Feb 24 Sequence alignment, Bellman-Ford shortest paths 6.6, 6.8 Feb 26 Ford-Fulkerson max-flow algorithm, ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...

Abstract: This study developed a gradient-based algorithm to synthesize arbitrary power patterns with only element phases. This algorithm does not rely on any general-purpose nonlinear solver and ...

The vehicle trajectories. a The Awesome GINS Dataset which was collected in an open-sky industrial area in Wuhan. b The second dataset which was collected in a suburban area in the Optics Valley of ...

The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...

As CPA firms grow into the $10 million to $100 million revenue range, operational complexity increases, especially during peak periods like tax season. Leadership must prioritize strategies to reduce ...

We often think about the impact AI is making on profitable businesses and even governmental organizations, but AI is also making significant contributions to the operations and success of non-profit ...