AI PCs to gain speed, cut cloud costs — and help workers upskill

Enterprise users are still trying to figure out how to get the most from AI PCs, but specialized hardware and enabling ...
IEEE

Energy-Latency Computation Offloading and Approximate Computing in Mobile-Edge Computing Networks

Abstract: Task offloading with Mobile-Edge Computing (MEC) is envisioned as a promising technique to prolong battery lifetime and enhance the computational capacity of mobile devices. In this paper, ...

Radio waves enable energy-efficient AI on edge devices without heavy hardware

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...
IEEE

Dependency-Aware Joint Task Offloading and Resource Allocation in Heterogeneous Mobile Edge Computing

Abstract: Mobile edge computing (MEC) is a promising computing paradigm and can effectively reduce the energy consumption and computing costs at mobile devices by offloading computation-intensive and ...