XDA Developers on MSN

I switched my local LLM setup to Ollama's new MLX engine, and my Mac suddenly feels twice as fast

I finally stopped babying my MacBook.

Google's DiffusionGemma generates 256 tokens in parallel and self-corrects as it goes

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU at a cost to quality.
techtimes

Intel Crescent Island GPU Packs 480GB Without HBM: Xe3P Targets Inference Gap

Intel CEO Lip-Bu Tan delivers the Intel keynote at Computex 2026 in Taipei, Taiwan Intel Corporation Intel CEO Lip-Bu Tan used Tuesday's Computex 2026 keynote in Taipei to deliver the most detailed ...
GitHub

DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation

DilateQuant is a novel quantization-aware training (QAT) framework for accelerating diffusion models. It maintains high-quality image generation at 4-bit and 6-bit precision. Specifically, we find the ...
IEEE

Fuzzy Adaptive Saturation Control for Nonlinear Systems With Event-Triggered Sampling and Quantization

Abstract: Based on event-triggering and quantization mechanisms, a fuzzy adaptive quantization saturation control problem has been investigated for a class of nonlinear systems. The unknown components ...
GitHub

Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling

A training-free scheduler adaptation for quantized diffusion models. Use an off-the-shelf pre-trained model and adapt it's scheduler for faster inference. Text-to-image diffusion models are ...
Microwaves & RF

Reducing ADC Quantization Noise

This file type includes high resolution graphics and schematics when applicable. Analog-to-digital converters (ADCs) provide the vital transformation of analog signals into digital code in many ...