By confronting both transformative opportunities and inherent risks with clarity, we can guide this evolution toward outcomes that enhance rather than diminish our shared future. The momentum is ...

Vehicle routing optimisation encompasses a range of mathematical and computational strategies aimed at determining the most efficient routes for vehicle fleets. This field addresses challenges such as ...

Abstract: This paper explores the routing problem in ambient backscatter wireless sensor networks (AB-WSNs) using reinforcement learning approaches. Ambient RF signals serve as the only power source ...

Abstract: Spidergon is a popular NoC (Network-On-Chip) developed to realize cost effective multi-processor SoC (MPSoC) using a fixed optimized topology [1]. Increasing diversity of applications, ...

Getting AI governance right is one of the most consequential challenges of our time, calling for mutual learning based on the lessons and good practices emerging from the different jurisdictions ...

This study investigated the dynamics of human cortical network activity with functional magnetic resonance imaging during movie watching and studied the modulation of these dynamics by subcortical ...