A complete image classification pipeline built with PyTorch and a Convolutional Neural Network (CNN) for classifying images from the CIFAR-10 dataset. The project was developed step by step to ...

Treat the LLM as a brain, not a source of facts. A practical guide to multi-agent LLM systems: prompts, orchestration, RAG, ...

The Programming Language Scene in 2026 and the Positioning of RustIn the software development landscape of 2026, the Rust ...

Every autonomous drone lives or dies by what its camera tells it in real time. The onboard perception system sits at the very ...

TorchNeuron lets developers run their existing AI code on AWS Trainium chips with virtually no changes, reducing the friction to adopting new hardware.

AMD and Intel plan to combine their x86 CPU optimization work for PyTorch in oneDNN to give developers a common software path ...

With TorchTPU now available as open source on GitHub, you can now train, serve, and deploy models on TPUs using the tools you ...

Google and Meta engineers, is seeking funding at a valuation between $30 billion and $40 billion.

Intel has long worked on tuning their oneDNN neural network library for their hardware and saw its adoption by PyTorch and other AI frameworks. AMD has maintained ZenDNN as their downstream fork that ...

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.