TL;DR: Texture compression has been crucial in gaming, especially with 4K resolution demands. In 2025, AI-powered methods will enhance performance by reducing texture sizes without quality loss.

The incoming Trump administration has put forth a wide-ranging agenda, including tariff and tax changes, tightened immigration, and relaxed regulations. Each has the potential to reshape major sectors ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns. They are a crucial part of linear algebra and have various applications in fields like engineering, ...

A happy St. Patrick’s Day week to you! Here’s a speed-walk (6:10) through recent news in the world of HPC-AI, including: @HPCpodcast: DDN’s Paul Bloch on High Performance Storage Strategies for AI ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Matrix multiplication is a fundamental operation in linear algebra and has numerous applications in various fields of science, engineering, and computation. Multiplying matrices may seem complicated ...

As we get ready to start the new year, most of us are uncomfortably wrestling with the very same questions that have plagued us at this time every prior year: How can I get more done? How can I feel ...

Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...