Wireless network algorithms and broadcasting constitute a vibrant area of research that addresses the challenges of rapid, reliable and efficient communication in increasingly complex wireless ...

Graph algorithms and network analysis form the backbone of modern computational techniques used to decode the complex structures and dynamic behaviours exhibited by diverse real-world networks ...

The researchers are seeking to address these concerns and make QKD viable by introducing a new metric called "maximum number ...

New algorithms will fine-tune the performance of Nvidia Spectrum-X systems used to connect GPUs across multiple servers and ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

A machine-learning algorithm, Weighted Graph Anomalous Node Detection (WGAND), has been developed to identify key proteins in human tissues by analyzing protein-protein interaction networks.

A new type of neural network that’s capable of adapting its underlying behavior after the initial training phase could be the key to big improvements in situations where conditions can change ...

A study published in the International Journal of Communication Networks and Information Security (Vol. 16, No. 3, 2024) introduces a novel energy-conscious routing protocol for Mobile Ad hoc Networks ...

Legitimate network management has to go beyond penalizing people for using more data, but researchers from MIT say the algorithms that are supposed to do that don't work as well as we thought.

If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.