Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

A new method for predicting how rainfall contributes to river flow across the entire US has been developed by an ...

Abstract: Traffic flow prediction assumes a pivotal role in aiding governments and companies accurately forecast changes in vehicle volume, consequently enhancing transportation efficiency and ...

Abstract: We investigate the performance of different annealers for power flow analysis. The annealers are D-Wave’s simulated annealer Neal, D-Wave’s quantum-classical hybrid annealer, D-Wave’s ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...