NVIDIA's consumer graphics presentation at CES 2026 was more interesting than many, although we'll spoil the surprise ...

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

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation ...

The race to build bigger AI models is giving way to a more urgent contest over where and how those models actually run. Nvidia's multibillion dollar move on Groq has crystallized a shift that has been ...

Abstract: This article addresses the problem of distributed set-membership estimation for a resource-constrained sensor network. The central aim is to acquire the desired ellipsoidal estimation sets ...

This is the official implementation of paper "D $^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models" [arXiv], which presents a dynamic quantization ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Abstract: The huge memory and computing costs of deep neural networks (DNNs) greatly hinder their deployment on resource-constrained devices with high efficiency. Quantization has emerged as an ...

SD.Next Quantization provides full cross-platform quantization to reduce memory usage and increase performance for any device. Triton enables the use of optimized kernels for much better performance.