A quiet transformation has been unfolding inside Nollywood that no single premiere night, red carpet moment, or cinema ...

Abstract: This article introduces an innovative distributed algorithm tailored for achieving predefined-time convergence in addressing time-varying resource allocation problem under directed networks.

Abstract: This letter focuses on finite-time (FT) convergent distributed algorithms for solving time-varying (TV) distributed optimization (TVDO). The objective is to minimize the sum of local TV cost ...

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 ...

A new computational method reveals a faster way to explore intricate quantum systems, pointing toward emerging applications in next-generation computing. Credit: Stock A new quantum-inspired algorithm ...

The authors note that, due to a production error, Figures 1–4 appeared in the incorrect order. Figure 1 should appear as Figure 2, Figure 2 should appear as Figure 3, Figure 3 should appear as Figure ...

LinkedIn introduced a major algorithm change in early 2026 called 360 Brew. This system replaced the platform’s previous multi-model ranking process with a single AI engine that simultaneously ...

MicroRaft is a feature-complete and stable open-source implementation of the Raft consensus algorithm in Java. It is a single lightweight JAR file of a few hundred KBs of size. It can be used for ...

Communications of the ACM 21, 7 (July 1978), 558-565. Reprinted in several collections, including Distributed Computing: Concepts and Implementations, McEntire et al., ed. IEEE Press, 1984. | July ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...