Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...

The launch comes as the PyTorch community gathers for PyTorch Conference 2025, reflecting Lightning's continued commitment to building the best platform for PyTorch developers and ...

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly helpful for the training and inference of deep learning tasks, like computer ...

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.

AMD has delivered on its Computex 2025 promise to make PyTorch work on Windows for consumer GPUs and APUs. With the release of ROCm 6.4.4, Radeon RX 9000 (RDNA 4), RX 7000 (RDNA 3), and the new Ryzen ...

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 ...

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...

Alif Semiconductor®, the leading global supplier of secure, connected, power efficient Artificial Intelligence and Machine ...