This repository contains MATLAB code implementing image compression using the Contourlet transform, a multi-scale geometric analysis tool for image processing. The Contourlet transform is particularly ...

Anyone can code using AI. But it might come with a hidden cost. Subscribe to read this story ad-free Get unlimited access to ad-free articles and exclusive content. Over the past year, AI systems have ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

In this post, we will cover some of the best ways to compress images without losing quality, either a single image or in bulk, online, or using free Windows software. At times, you might need to ...

What's CODE SWITCH? It's the fearless conversations about race that you've been waiting for. Hosted by journalists of color, our podcast tackles the subject of race with empathy and humor. We explore ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

For over 5 years, Arthur has been professionally covering video games, writing guides and walkthroughs. His passion for video games began at age 10 in 2010 when he first played Gothic, an immersive ...

Abstract: The emergence of Intent-based Networking(IBN)-enabled Healthcare Internet of Things (H-IoT) environments brings new challenges and opportunities for deploying intelligent medical image ...

Abstract: This paper proposed a satellite remote sensing image compression algorithm based on neural network architecture evolution, the method includes a neural network automatic evolution method, a ...

Anthropic on Tuesday confirmed that internal code for its popular artificial intelligence (AI) coding assistant, Claude Code, had been inadvertently released due to a ...

Recent efforts to accelerate inference in Multimodal Large Language Models (MLLMs) have largely focused on visual token compression. The effectiveness of these methods is commonly evaluated by ...