AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

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.

The PyTorch Foundation, makers of the PyTorch machine learning framework, has launched torchao, a PyTorch native library that makes models faster and smaller by leveraging low-bit dtypes, sparsity, ...