Network infrastructure is one of the key requirements for digital connectivity as it enables seamless communication, transfer of data, and sharing of resources. However, ...

Two new algorithms can help find networks within dynamic systems, with applications in financial, biological, engineered, and social networks.

Algorithm provides networks with the most current information available while avoiding data congestion. For wireless networks that share time-sensitive information on the fly, it's not enough to ...

AI creates information overload but trust decides influence. Learn why professionals turn to peers over algorithms and how ...

Wireless Network Algorithms and Broadcasting Publication Trend The graph below shows the total number of publications each year in Wireless Network Algorithms and Broadcasting.

Artificial neural networks, the underlying structure of deep learning algorithms, roughly mimic the physical structure of the human brain.

Delegating responsibility for everyday decisions to algorithms is changing the way humans handle aesthetics, says Michele Williams of Curtin University.

In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.

A new approach to disentangling the complexities of biological networks, such as the way in which proteins interact in our body's cells has been developed. The new algorithm could allow biologists ...

For millions of people with epilepsy and movement disorders such as Parkinson's disease, electrical stimulation of the brain already is widening treatment possibilities. A new study promises to make ...