In pet genetics, cancer research, and beyond, Charlie Lieu, MBA ’05, SM ’05, has spent her career harnessing massive data ...
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 ...
Abstract: This survey article focuses on the emerging connections between machine learning and data compression. While the fundamental limits of classical (lossy) data compression are well-established ...
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, ...
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 ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results