Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

With the price of RAM getting out of control, it might be a good idea to remind Linux users to enable ZRAM so they can get ...

Abstract: Efficient point cloud compression is essential for applications like virtual and mixed reality, autonomous driving, and cultural heritage. This paper proposes a deep learning-based ...

Abstract: There has been an increasing consensus that the machine vision is gradually replacing human vision in numerous tasks, with the demonstrated success of artificial intelligence. In this paper, ...

In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how it can make long-context language model inference more efficient. We begin by setting up ...

HOUSTON & FORT WORTH, Texas--(BUSINESS WIRE)--Axip Energy Services, LP and certain of its affiliates (collectively “Axip” or the “Company”) and Service Compression, LLC (“Service Compression”) today ...

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As a running coach, I always tell my athletes the most surefire way to actually enjoy running is to invest in yourself and the proper gear. By this I mean preparing a plan tailored to your goals and ...

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating impressive reductions in VRAM use while maintaining texture quality, or even ...

Forward-looking: Nvidia's latest push into neural rendering is not just unfolding on keynote stages, but also in follow-up technical briefings. A recent video released days after the DLSS 5 ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to find storage-efficient representations of your data (images, features, examples ...