The study of population protocols and distributed algorithms occupies a pivotal position in the ongoing development of computational theory and its practical implementations. Population protocols ...

Distributed optimisation and algorithms form a vibrant field that addresses the challenge of coordinating multiple agents or nodes to collectively solve global optimisation problems. This domain ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum computing ...

SHENZHEN, China, March 17, 2025 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO), (the "Company"or "MicroAlgo"), today announced the introduction of an innovative solution: a multi-simulator ...

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

Tsukuba, Japan—Distributed constraint optimization problems are crucial for modeling cooperative-multiagent systems. Asynchronous Distributed OPTimization (ADOPT) is a well-known algorithm for solving ...

Modern cloud platforms must not only support automation and elasticity but also ensure reliability, fault tolerance, and ...

ADELPHI, Md.-- Army researchers are collaborating to enhance multi-agent teaming capabilities for the Soldier that will lead to improved situational awareness and communication capabilities on the ...