The potential of AI to transform businesses is undeniable. But modern companies now face a new challenge: how to take advantage of this complex concept. This is where the edge can be a catalyst for AI ...

Whereas most modern IT architectures rely on a centralized data center or cloud solution, edge computing takes a different approach. By adopting a distributed computing model, this new solution ...

Aethir, a decentralized graphics processing unit (GPU) infrastructure firm, announced the May 23 retail release of Aethir Edge, an edge computing device powered by Qualcomm. Aethir Edge is integrated ...

Edge computing involves processing and storing data close to the data sources and users. Unlike traditional centralized data centers, edge computing brings computational power to the network's edge, ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

The convergence of physical and digital security is driving a shift toward software-driven, open-architecture edge computing. Access control has typically ...

For AI to fully integrate into everyday consumer life, end-user devices must be able to process AI workloads, rather than solely relying on cloud computing. On-device AI can reduce costs and latency, ...

The edge just may be where the action is, but the edge is double-edged: It could be a distributed corporate network, or it could be an application running within a small device. In an IDC survey, at ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Cities and counties have started deploying servers and data ...

Linux is a great operating system for devices. It’s cheap, customizable, and secure. But it has its challenges. For manufacturing companies and other firms deploying thousands of devices, management ...