United States Army

Security Cooperation at the Tactical Level: Combat Training Center Interoperability with the Brazilian Army

Since 2021, the U.S. Army and the Brazilian Army have conducted combined military exercises as part of Exercise Southern ...
IEEE

RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN

Abstract: Network modeling is a key enabler to achieve efficient network operation in future self-driving Software-Defined Networks. However, we still lack functional network models able to produce ...
Tech Xplore

AI training method slashes pre-training time by 50% while boosting accuracy

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...
IEEE

The Emerging of Named Data Networking: Architecture, Application, and Technology

Abstract: Named Data Networking (NDN) is developed to accommodate future-oriented internet traffic. In recent years, NDN’s popularity has grown due to the evolution of the Internet of Things, ...
GitHub

Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...