Ceva’s NeuPro-Nano neural processing unit has been used in a production chip, forming part of Mobilint’s REGULUS Edge AI ...

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

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 ...

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

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

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

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

Thirteen interlinked handbooks for LLM inference and AI infra, in Chinese and English: Python, C++, CS, math, PyTorch, LLM ...

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

Mintive was founded by two engineers who have been working on AI for decades through Google Brain, Coursera. It's platform ...

AI safety evaluation faces a new mathematical limit: a NeurIPS 2026 paper proves that anyone with access to model weights can embed a hidden neural network protected by SHA-3 cryptography that no ...

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