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

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 ...

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 — ...

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

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, ...

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

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.

This innovation could synergize with liquid cooling. Historically, about 40% of data centers' energy use goes toward ...

Mobile, Edge Control & T-Platform are set to make the management of devices simpler, and create fast campus networks.

Researchers focus on limiting data movement to reduce power and latency in edge devices. In popular media, “AI” usually means ...

COMs eliminate the need for complete embedded system redesigns by making them easier to upgrade, delivering sustainability ...