Scientists at Microsoft Research in the United States have demonstrated a system called Silica for writing and reading ...

COLUMBIA, S.C., Feb. 17, 2026 /PRNewswire/ -- For the first time, researchers have used human brain lesion data to decode how large language models process language. The breakthrough arrives as the AI ...

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...

In the ever-evolving landscape of data centers, Total Cost of Ownership (TCO) remains a critical metric. It encompasses all costs associated with data center infrastructure throughout its lifecycle, ...

IT companies have spent billions of dollars creating ways to move data more efficiently and cheaply in an increasingly distributed world of on-premises datacenters, multiple clouds, and the edge. This ...

The rapid advancement of large language models (LLMs) has exposed critical infrastructure challenges in model deployment and communication. As models scale in size and complexity, they encounter ...

Abstract: This paper presents a detailed comparative analysis of statistical tests utilizing both modern data compressors and standard statistical methods for assessing the randomness of Ran-dom ...

The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are ...

Abstract: The Wireless Body Area Networks (WBANs) are a set of sensors on the human s body that are designed in very small sizes. These sensors are faced with the exchange of a huge amount of data, ...