Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

With 120 and 125 teraFLOPS of BF16 grunt respectively, the Spark roughly matches AMD's Radeon Pro W7900, while achieving a ...

The top predictions from Arm for 2026 as the world enters a new era of intelligent computing. The world’s relationship with compute is changing — from centralized clouds to distributed intelligence ...

Most recently, successful, more transparent AI language models came from Chinese developers. With Nemotron 3 Nano, Nvidia is ...

Paired with Whisper for quick voice to text transcription, we can transcribe text, ship the transcription to our local LLM, ...

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

This repository contains the official PyTorch implementation for the CVPR 2025 paper "APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision ...

Abstract: Quantization has enabled the widespread implementation of deep learning algorithms on resource-constrained Internet of Things (IoT) devices, which compresses neural networks by reducing the ...