Explore how edge computing in 2025 is transforming real-time data processing, reducing latency, and enabling smarter devices through edge AI.

Hybrid cloud-edge architectures enhance smart manufacturing by optimizing latency and scalability, integrating IIoT for ...

Neuromorphic computing, which mimics the human brain’s architecture and function, can be leveraged in edge computing to improve power efficiency, speed, and adaptability.

Emerging technologies such as edge computing, AI, and distributed learning have reshaped the design of cyber-physical ...

AI workloads are testing traditional centralized systems beyond their limits. Incentivizing distributed energy and data is the answer, says Greg Osuri, CEO of Akash Network.

Agentic AI is transforming compute architecture with new demands on data flow, hardware, and AI retail systems for faster ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

In mobile edge computing (MEC), edge servers and mobile terminals use federated learning distributed architecture to build a deep model, so that terminals can cooperate in training without sharing ...

So, will edge computing disrupt the data center boom? No, but it will significantly reshape it into a more diversified, specialized, and resilient global infrastructure.

But Reed points out that modern application architectures — including progressive web apps and virtualization — allow for centrally distributed computing models.

Spanish startup Multiverse Computing said it raised an enormous Series B round on the strength of a technology it calls “CompactifAI.” ...

To this end, we propose a novel distributed collaborative computing scheme for task completion rate maximization (TCRM) in vehicular networks by taking into account both vertical and horizontal ...