Network design problems constitute a critical area in operations research and engineering, where the objective is to construct or upgrade network infrastructures optimally under a range of constraints ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

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 ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

In recent years, artificial intelligence technologies, especially the machine learning algorithms, have made great strides. These technologies have enabled unprecedented efficiency in tasks such as ...

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 ...

Subscribe Today to get the latest ExtremeTech news delivered right to your inbox.

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 ...