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

A Day of Reverse Engineering and AI AgentsRead today's top 10 in one goToday's lineup features a mix of reverse engineering, ...

eigenkit is a new library enabling quantum programs to run on 12 different machines, simplifying algorithm portability and ...

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 ...

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

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

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

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

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

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

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

Pretrained convolutional neural networks classified biological sex from smartphone photographs of palatal rugae with up to 77 ...