To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.

As one of the battle captains assigned to the 101st Airborne Division (Air Assault), I was first struck by the amount of chat ...

This is the second in a series of discussions with Mike Glass, owner of Orion Technical Solutions, on ensuring data integrity ...

Abstract: This letter addresses the problem of Multi-Robot Simultaneous Localization and Mapping (SLAM) in dynamic feature-free marine environments. Traditional SLAM approaches rely on static ...

Where will the power come from? As AI workloads explode and U.S. data center power demand races toward 134 GW by 2030, the industry faces a fundamental constraint: the grid can’t keep up. This deep ...