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

Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the ...

Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the past two years, reflecting rapid advancements in machine learning with ...

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

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 ...

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

Google LLC is striving to pry open Nvidia Corp.’s grip on the artificial intelligence computing industry with the launch of a ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

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

A new collaboration between two longstanding processor rivals aims to reduce software fragmentation in PyTorch, potentially making enterprise AI workloads easier to deploy across x86 ...