GitHub

Quantization Experiments: Reproducing PolarQuant + QJL from Scratch

A research-grade implementation of low-bit quantization techniques inspired by Google Research's TurboQuant (ICLR 2026), built from scratch in Python with PyTorch ...
GitHub

compressed_tensors_moe.py

from sglang.srt.layers.moe.cutlass_moe_params import CutlassMoEParams, CutlassMoEType from sglang.srt.layers.moe.moe_runner.triton import TritonMoeQuantInfo from ...
IEEE

A Survey of Quantization Techniques in Embedded AI Toolchains

Abstract: Quantization has become a key method for enabling deep learning (DL) inference on resource-constrained embedded systems. As the demand for privacy-preserving, low-latency, and ...
IEEE

Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning

Abstract: Mixed-precision quantization mostly predetermines the model bit-width settings before actual training due to the non-differential bit-width sampling process, obtaining suboptimal performance ...
MUO on MSN

I was wrong about local LLMs, and these 4 myths were why

Stop thinking you need a $5,000 rig to run local AI — I finally ran a local AI on my old PC, and everything I believed was ...
How-To Geek on MSN

Don't pay for an AI coding assistant until you've tried running one locally

Your CPU can run a coding AI—here's why you shouldn't pay for one (as long as you have the patience for it).
Electronic Design

Applying Edge AI to DC Arc Fault Detection (Part 2): Software Development to Deployment

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...
电子工程专辑

【Nordic博文分享系列】CPU也能跑AI？Nordic边缘AI方案详解，功耗低至微 ...

AI（人工智能） 是一个很大的概念，泛指让计算机完成需要人类智能才能完成的任务。而机器学习（Machine Learning） 是 AI 的一个重要子集，它的核心思想是：不给计算机编写明确的规则，而是让它从数据中自动学习规律。 以手势识别为例： 传统方法：工程师 ...
The Manila Times

DEEPX and Ultralytics Forge Strategic Alliance to Define the Global Standard for Physical ...

Empowering the world's largest computer vision ecosystem with a unified, one-click NPU hardware standard for building the next generation of real-world AI applications.