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. From ...

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for ...

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. A newly ...

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 quickly ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

A group of researchers have developed an algorithm designed to prevent threat actors from disrupting quantum communication channels across an entire network. Researchers from Italy's Politecnico di ...

This is a preview. Log in through your library . Abstract Resource assignment problems occur in a vast variety of applications, from scheduling problems over image recognition to communication ...

A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph ...