Intel and AMD announced they will jointly adopt oneDNN as the default open-source library for x86 CPU acceleration in PyTorch ...

Google announced on October 20, 2026 at PyTorch Conference 2026 that TorchTPU, its native PyTorch stack for TPUs, is now open ...

Google open-sources TorchTPU, a native PyTorch backend built with Meta that lets developers run models on Cloud TPUs with ...

Google announced on October 20, 2026, at PyTorch Conference 2026 that TorchTPU, its native PyTorch stack for Tensor ...

Google open-sourced TorchTPU, a native PyTorch backend for Cloud TPUs that reaches 52% MFU training Qwen 3 8B.

Cambridge researcher Miles Cranmer ships the first major release of his equation-discovery library since 2020, adding n-ary operators and a modular plugin system.

AWS has introduced TorchNeuron, an open-source software tool that allows developers to run existing PyTorch applications on ...

Amazon said on October 19 that TorchNeuron will let developers run existing PyTorch code on its Trainium accelerators with a ...

AWS says TorchNeuron brings PyTorch to Trainium with one configuration change. The compatibility sweep is broad; the only published performance result is one cu ...

Overview: Learn programming fundamentals, data handling, libraries, and API integration before tackling advanced AI ...

Introduction: 'Bugs that don't throw errors' are the most terrifyingWhen implementing LLMs (Large Language Models) in Python ...

An open-source framework from Madrid automatically converts trained Python spiking neural networks into synthesizable VHDL, ...