Overview: The choice of deep learning frameworks increasingly reflects how AI projects are built, from experimentation to ...

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Just weeks after wrapping up its current lineup with the Pixel 10a, Google may already be testing its new phones. A new Geekbench listing has surfaced, and while nothing is confirmed, it hints at ...

Google initially debuted its Titan M security chip back in 2018 with the Pixel 3 before following it up with Titan M2 in its first-gen Tensor launch. Now, as we approach the tenth anniversary of Pixel ...

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Smartphones may look familiar on the surface in 2026, yet the technology inside is taking a decisive leap forward. AI-native processors, new connectivity layers and advanced display systems are ...

Abstract: We present an automatic static analyzer PyTea that detects tensorshape errors in PyTorch code. The tensor-shape error is critical in the deep neural net ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The PyTorch team at Meta, stewards of the PyTorch open source machine learning framework, has unveiled Monarch, a distributed programming framework intended to bring the simplicity of PyTorch to ...