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

Abstract: With the increasing diversity and complexity of mobile applications, an application typically needs to execute multiple dependent tasks to achieve its functionality. Computation offloading ...

DDN today announced deep collaboration with NVIDIA to support the company’s next-generation AI factory architecture unveiled ...

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 ...

Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...

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 ...

Quantum computing promises a new generation of computers capable of solving problems hundreds of millions of times more quickly than today’s fastest supercomputers. This is done by harnessing spooky ...

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, ...