Why AI is becoming ldquo;native rdquo; to 5G/6G networks The evolution from 5G to 6G networks represents a dramatic leap in complexity that fundamentally challenges traditional network management ...

Abstract: The max-min fair (MMF) resource allocation problem in rate-splitting multiple access (RSMA) systems usually faces the issues of high computational complexity and implement difficulty in real ...

Abstract: Game-theoretic resource allocation on graphs (GRAG) involves two players competing over multiple steps to control nodes of interest on a graph, a problem modeled as a multi-step Colonel ...

As enterprise digital transformation advances with increasing depth and precision, the ability to efficiently manage and harness massive datasets has become the core competitive barrier. Facing the ...

Elizabeth Boluwatife Rotimi graduated from the Department of Computer Science at the Federal University of Technology, Akure (FUTA), with a First Class for the 2024-2025 session. She finished with a ...

The rapid evolution of large language models (LLMs) is accelerating the development of AI data centers, driving widespread adoption of heterogeneous CPU, GPU, and DPU architectures and increasing the ...

Elizabeth Boluwatife Rotimi graduated from the Department of Computer Science at the Federal University of Technology, Akure (FUTA), with a First Class for the 2024-2025 session. She finished with a ...

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...

Broad market attention toward quantum computing advancements globally; Strong institutional participation shaping corporate ...

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail.