A PyTorch implementation of Binarized Neural Networks (BNNs) with Shift-based Batch Normalization and AdaMax optimizer. - Wzx0110/PyTorch-BNN-Reimplementation ...

A new library called eigenkit now links a single codebase to 12 different quantum simulators and actual quantum hardware ...

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 ...

QuantSpin and DIVBIO utilize quantum circuits with classical neural networks for GLP-1R drug activity prediction.

AMD and Intel aim to unify PyTorch CPU optimisations through oneDNN, easing x86 AI deployment. But can one software path ...

SNACK: truly sparse GPU layers with a custom COO SpMM CUDA kernel — NeurIPS 2026 (arXiv:2610.04093) - JafarBadour/Snack-SNN ...

Amazon.com Inc. today introduced TorchNeuron, an open-source toolkit that enables developers to run PyTorch workloads on its AWS Trainium chips.

Google LLC is striving to pry open Nvidia Corp.’s grip on the artificial intelligence computing industry with the launch of a specialized version of the open-source PyTorch framework, called TorchTPU, ...

How cloud-hosted FPGAs are transforming hardware evaluation into an instant, zero-install software experience.

I have summarized the overview of 'TorchTPU'. 1. Introduction TorchTPU is a mechanism that allows code written in PyTorch (a ...

AMD and Intel now back one library to speed up AI work in PyTorch on x86 processors. Developers running models on a Ryzen, ...

A pair of tiny neural networks can generate and play five simple games on a Raspberry Pi Pico 2 W without conventional game ...