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 ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

The developers behind the Tor network have announced a major upcoming change. The free overlay network, which enables anonymous communication on the web, will soon adopt ...

Artificial intelligence (AI) machine learning algorithms consist of neural networks that are inspired by the biological brain. However, today’s standard computing hardware architecture is not, hence ...

Cisco recommends using AES-CBC for encryption and SHA1 for authentication to protect against performance risks to some of its Catalyst and ASR gear. To reduce the risk of service problems, Cisco is ...

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 ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Nicholas K. Logan, CEH is a graduating senior in the information assurance program of the School of Business and Management at Norwich University. As one of his essays in the IS342 Management of ...

At the 2nd International Conference on Metaheuristics in Engineering and its Applications (METASOFT), held in Bhubaneswar, India, Professor Michael Hess, an expert in Peace and Conflict Studies at RIT ...