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.

“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 ...

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

As global IoT adoption expands, expected to exceed 30 billion connected devices by 2030, energy consumption has become a ...

T-Mobile Business CMO calls 5G-Advanced and network slicing the “secret sauce” behind Edge Control’s ability to route local ...

Nvidia Corporation tops $5T market cap, driven by AI, GPU demand, and strong growth outlook. Click to discover why NVDA stock is a standout tech investment.

Today, we'll review the Nextion 4.3-inch Edge Series HMI touch display. The company has recently launched the new Edge Series ...

Heterogeneous integration is more than a technical milestone—it’s a strategic enabler of the next wave of digital ...

The ASUS IoT PE3000N uses NVIDIA Jetson Thor to run real-time AI and autonomous control at the edge without cloud access.

New chip family brings advanced AI processing, wireless flexibility, and extreme efficiency to next-gen wearables, healthcare ...