Cisco Systems launched a computing device on Monday that will run artificial intelligence workloads at local entities such as ...

Edge computing enables local data processing, reduces reliance on cloud infrastructure and enhances resilience in ...

As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.

Cisco’s approach is centered on infrastructure modernization, secure connectivity and digital resilience. To advance that strategy, Cisco is embedding AI observability into its network and security ...

“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

In an economy driven by real-time data, the ability to make decisions at the edge, right where data is generated, has become ...

AI gets all the attention, but enterprises face significant challenges in providing computing resources for use cases in space-constrained environments that require continuous operation — ...

As part of CRN’s 2025 Edge Computing 100, here are 25 providers that are specializing in 5G, IoT and edge services.

Edge AI is here — faster, smarter, and closer to the data. In Elektor’s upcoming guest-edited edition with Edge Impulse, discover how engineers are building intelligent devices using keyword spotting, ...

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

Strontium titanate’s remarkable ability to perform at extremely low temperatures makes it a key material for next-generation cryogenic devices used in quantum computing and space exploration. Supercon ...

Data is the backbone of tech innovation. Storing, processing and managing IT resources and data impacts your tech system’s efficiency and expected output. The advent of cloud computing revolutionized ...