Those that lean into AI will need to balance small form factor, real-time responses and operation time, often tied to battery ...

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

While Wi-Fi 7 adoption is accelerating among enterprises, retail Wi-Fi 8 products could arrive as early as summer 2026. Wi-Fi ...

Abstract: Mobile edge computing (MEC), which improves the quality of experience of mobile devices by offloading tasks to edge servers, has become a promising paradigm. This method can effectively ...

The data centers used for work on artificial intelligence can cost tens of billions to build. Tech giants are finding ways to avoid being on the hook for some of those costs. By Karen Weise and Eli ...

This project implements a Vehicular Edge Computing (VEC) task offloading optimization system based on deep reinforcement learning. It implements and evaluates three deep reinforcement learning ...

Cloud vs edge computing represents a fundamental shift in how organizations manage, store, and process data. While traditional cloud computing centralizes massive computing resources in data centers, ...

Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...