For two decades, a Georgia Tech professor has used simple data to track the best teams in college basketball and predict who will win the NCAA Tournament. Joel Sokol, director of the Master of Science ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

DirectStorage 1.4 brings along key upgrades to the API, including support for Zstandard compression as well as CreatorID for improved GPU scheduling.

SAN FRANCISCO, CA, UNITED STATES, March 13, 2026 /EINPresswire.com/ — During this year’s GDC Festival of Gaming, Tencent Games officially introduced MagicDawn to ...

Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful compression algorithms. This video explains the core idea behind lossless ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article introduces practical methods for ...

The change is part of a deal to bring TikTok under U.S. ownership to avert a looming ban. By Emmett Lindner and Lauren Hirsch The software giant Oracle will oversee the security of Americans’ data and ...

Abstract: The existent problem of the weather radar data lies in its too large data which is not conducive to its storage and transmission. This paper put forward a hybrid compression algorithm of the ...

Abstract: The rapid generation and utilization of text data, driven by the proliferation of the Internet of Things (IoT) and large language models, has intensified the need for efficient lossless text ...

Dr. Ziya Arnavut of the State University of New York at Fredonia has received a patent for a software invention that provides a cost-effective method of encrypting data during transmission. The ...

Researchers from Rice University and startup xMAD.ai have detailed Dynamic-Length Float (DFloat11), a technique achieving approximately 30% lossless compression for Large Language Model weights stored ...