The companies plan to combine their x86 CPU optimization work for PyTorch in oneDNN to give developers a common software path ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Deep learning continues to be one of the hottest fields in computing, and while Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a ...

PyTorch, a machine learning and deep learning framework, has emerged as a powerful tool for both researchers and developers alike. It offers a unique blend of speed, flexibility, and user-friendly ...

AMD and Intel are working together to bring CPU inference optimizations for PyTorch under the unified oneDNN library.

AMD joins the UXL Foundation as a steering member, and AMD and Intel agree on oneDNN as PyTorch's default library for x86 CPU ...

At first glance, PyTorch and TensorFlow seem almost identical: They're both free, open source machine learning frameworks that make extensive use of Python; they both benefit from large, dynamic ...

In this book PyTorch core developer Howard Huang updates the first edition with new insights into the transformers architecture and generative AI models. Huang et al show how to create your own neural ...

Facebook parent company Meta Platforms Inc. announced today that it’s handing over control of the popular PyTorch artificial intelligence platform it created to the Linux Foundation’s newly formed ...

A new collaboration between two longstanding processor rivals aims to reduce software fragmentation in PyTorch, potentially making enterprise AI workloads easier to deploy across x86 ...

Microsoft claims its new PyTorch Enterprise on Microsoft Azure is the first offering from a cloud platform to provide enterprise support for PyTorch, the popular open source deep learning framework.