Due to time and resource limitations, units are rarely able to achieve and sustain fully trained proficiency in all ...

Iran’s military forces are preparing for a potential new round of US-Israeli attacks by deploying more man-portable air defence systems, or MANPADS, drawing on lessons from the recent war and the ...

Microsoft Research conducts fundamental science and technology research across a spectrum of research areas. With labs around the globe we pursue breakthroughs across the computing and AI stack to ...

Critical events in healthcare require a rapid and coordinated approach: simulation has been demonstrated a valid technique for training in emergency. Virtual Reality (VR) is an innovative technology ...

Abstract: Federated Learning (FL) is a Machine Learning paradigm that enables training models across distributed clients without accessing their data. In the context of network security, FL can be ...

The widespread adoption of machine learning and other matrix intensive computing algorithms has renewed interest in analog optical computing, which has the potential to perform large-scale matrix ...

Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

In today's globalized business landscape, distributed project teams have become the norm rather than the exception. As project managers grapple with the challenges of coordinating geographically ...

All atom molecular dynamics (MD) simulations offer a powerful tool for molecular modeling, but the short time steps required for numerical stability of the integrator place many interesting molecular ...

Despite significant advancements in automatic speech recognition (ASR) technology, even the best performing ASR systems are inadequate for speakers with impaired speech. This inadequacy may be, in ...