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A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language Model
Notably, we find that inference costs and exogenous factors can have a significant impact on total budget.
Personalized Resource Allocation in Wireless Networks: An AI-Enabled and Big Data-Driven Multi-Objective Optimization
As a result, the use of Artificial Intelligence (AI) is envisioned for wireless network design and optimization due to the flexibility and adaptability it offers in solving extremely complex problems in real-time.
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities
In this paper, we address this problem with a review of 42 highly-cited papers, spanning a decade of research (from 2011 to 2021).
A Survey on Cross-Architectural IoT Malware Threat Hunting
In recent years, the increase in non-Windows malware threats had turned the focus of the cybersecurity community.
Big-data-driven and AI-based framework to enable personalization in wireless networks
Thus, in this article, we propose the utilization of AI, big data analytics, and real-time non-intrusive user feedback in order to enable the personalization of wireless networks.
